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finn-base v0.0.2 #34
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finn-base v0.0.2 #34
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* [base]: changed how the floats, ints, strings, tensors, graphs and sparse_tensors field of AttributeProto is set. * [Core] restrict attributes to tested types Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [Im2Col] style fixes and comments Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
… transformation (#16) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim. [test_conv_lowering] changed function call to compute_conv_output_dim. [lower_convs_to_matmul] removed old assertion. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [test_conv_lowering]: minor fix for test case depthwise and regular convolutions * Support for non-square input images and kernels for im2col node (#20) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [Im2Col] style fixes and comments Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update AUTHORS.rst Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col] added support for dilations = 2 for 2D and 1D images. Dilation value must be equal along each axis. [test_im2col] added several test cases in case dilations = 2 (a.o. cases where image and kernel are 2D and 1D, with and without padding, and with stride = 2). [lower_convs_to_matmul] added support for dilation value. Dilation value must be equal along each axis. [test_conv_lowering] added test case for dilations = 2 for 2D and 1D images and kernels, with and without padding, and with stride = 2. * [lower_convs_to_matmul] removed old assertion [test_conv_lowering] added more dilation values to test cases. Dilation values of {1, 2, 3, 4} are tested. * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim [test_conv_lowering] changed function call to compute_conv_output_dim * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim. [test_conv_lowering] changed function call to compute_conv_output_dim. [lower_convs_to_matmul] removed old assertion. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [test_conv_lowering]: minor fix for test case depthwise and regular convolutions * [im2col]: minor style adjustment. [test_conv_lowering]: merged test functions into one test function. * Support for non-square input images and kernels for im2col node (#20) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [Im2Col] style fixes and comments Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update AUTHORS.rst * Support for non-square input images and kernels in LowerConvsToMatMul transformation (#16) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim. [test_conv_lowering] changed function call to compute_conv_output_dim. [lower_convs_to_matmul] removed old assertion. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [test_conv_lowering]: minor fix for test case depthwise and regular convolutions * Support for non-square input images and kernels for im2col node (#20) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [Im2Col] style fixes and comments Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update AUTHORS.rst Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
Add "Copyright (c) 2021 Xilinx, Inc" heather
…tes. (#21) [test_batchnorm_to_affine]: added a test case for various epsilon values.
* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col] added support for dilations = 2 for 2D and 1D images. Dilation value must be equal along each axis. [test_im2col] added several test cases in case dilations = 2 (a.o. cases where image and kernel are 2D and 1D, with and without padding, and with stride = 2). [lower_convs_to_matmul] added support for dilation value. Dilation value must be equal along each axis. [test_conv_lowering] added test case for dilations = 2 for 2D and 1D images and kernels, with and without padding, and with stride = 2. * [lower_convs_to_matmul] removed old assertion [test_conv_lowering] added more dilation values to test cases. Dilation values of {1, 2, 3, 4} are tested. * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim [test_conv_lowering] changed function call to compute_conv_output_dim * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim. [test_conv_lowering] changed function call to compute_conv_output_dim. [lower_convs_to_matmul] removed old assertion. * [im2col]: minor fix with assumption on kernel dimension [lower_convs_to_matmul]: minor fix with assumption on kernel dimension * [change_3d_tensors_to_4d]: added new transformation that transforms 3D tensors to 4D and changes the nodes accordingly [test_4d_conversion]: test function for 3D to 4D tensor transformation * [change_3d_tensors_to_4d]: added new transformation that changes 3D tensors to 4D. [test_4d_conversion]: added a test case for the 3D to 4D transformation. * [change_3d_tensors_to_4d]: added 3D to 4D transformation (for QuartzNet). [test_4d_conversion]: added test case for 3D to 4D transform. * [change_3d_tensors_to_4d]: changed how an invalid graph is handled. [test_4d_conversion]: changed the test case for an invalid graph. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [im2col]: minor style change and changed the way how a square kernel is instantiated. * [test_conv_lowering]: merged tests for depthwise and standard convolutions. * [test_conv_lowering]: minor fix for test case depthwise and regular convolutions * [im2col]: minor style adjustment. [test_conv_lowering]: merged test functions into one test function. * [change_3d_tensors_to_4d]: style fixes and comments. [test_4d_converions]: rearranged code. * [Transform] check invalid node list length * [change_3d_tensors_to_4d]: rearranged the code to make it more readable. Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
* Add basic partitioning functionality * Mount build dir within docker container * Support for non-linear models and multi in/out partitions * Remove dataflowpartition custom op from finn-base * Fix temporary build dir for CI * Fix docstring
…tput value_info entries. (#26)
[test_extend_partition]: added a test case for the new transformation.
* [im2col]: added support for non-equal strides along different axes and cleaned up the code. [lower_convs_to_matmul]: added support for non-equal strides along different axes and cleaned up the code. [test_conv_lowering]: added test case for non-equal strides along different axes. * [im2col]: minor fix. [test_im2col]: added test case for non-equal strides along different axes.
* [Refactor] split up RTL/HLS-related utils * [Util] rename to CallHLS and allow specifying vivado_hls/vitis_hls * [Util] more flexible stream naming in rtlsim_multi_io
* added support for non-equal dilation value along (H, W) dimension * added test cases for non-equal dilation configurations * appending dilation value along dummy dimension correctly (i.e. with a '1') * changed tensor sparsity annotation for consistency
* Support infer_datatype for flatten layer * [InferDT] add more identity op types for datatype inference * [Lint] fix linting issues Co-authored-by: Yaman Umuroglu <maltanar@gmail.com>
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* finn-base v0.0.2 (#34) * Modified set_nodeattr to allow using it on repeated fields (#18) * [base]: changed how the floats, ints, strings, tensors, graphs and sparse_tensors field of AttributeProto is set. * [Core] restrict attributes to tested types Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Support for non-square input images and kernels for im2col node (#20) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [Im2Col] style fixes and comments Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update AUTHORS.rst * Support for non-square input images and kernels in LowerConvsToMatMul transformation (#16) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim. [test_conv_lowering] changed function call to compute_conv_output_dim. [lower_convs_to_matmul] removed old assertion. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [test_conv_lowering]: minor fix for test case depthwise and regular convolutions * Support for non-square input images and kernels for im2col node (#20) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [Im2Col] style fixes and comments Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update AUTHORS.rst Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Added support for dilation value = 2 for 1D and 2D images/kernels (#17) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col] added support for dilations = 2 for 2D and 1D images. Dilation value must be equal along each axis. [test_im2col] added several test cases in case dilations = 2 (a.o. cases where image and kernel are 2D and 1D, with and without padding, and with stride = 2). [lower_convs_to_matmul] added support for dilation value. Dilation value must be equal along each axis. [test_conv_lowering] added test case for dilations = 2 for 2D and 1D images and kernels, with and without padding, and with stride = 2. * [lower_convs_to_matmul] removed old assertion [test_conv_lowering] added more dilation values to test cases. Dilation values of {1, 2, 3, 4} are tested. * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim [test_conv_lowering] changed function call to compute_conv_output_dim * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim. [test_conv_lowering] changed function call to compute_conv_output_dim. [lower_convs_to_matmul] removed old assertion. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [test_conv_lowering]: minor fix for test case depthwise and regular convolutions * [im2col]: minor style adjustment. [test_conv_lowering]: merged test functions into one test function. * Support for non-square input images and kernels for im2col node (#20) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [Im2Col] style fixes and comments Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update AUTHORS.rst * Support for non-square input images and kernels in LowerConvsToMatMul transformation (#16) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim. [test_conv_lowering] changed function call to compute_conv_output_dim. [lower_convs_to_matmul] removed old assertion. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [test_conv_lowering]: minor fix for test case depthwise and regular convolutions * Support for non-square input images and kernels for im2col node (#20) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [Im2Col] style fixes and comments Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update AUTHORS.rst Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update quantavgpool2d.py (#22) Add "Copyright (c) 2021 Xilinx, Inc" heather * [batchnorm_to_affine]: epsilon value is now read out from the attributes. (#21) [test_batchnorm_to_affine]: added a test case for various epsilon values. * Added 3D to 4D (tensor) transformation (#19) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col] added support for dilations = 2 for 2D and 1D images. Dilation value must be equal along each axis. [test_im2col] added several test cases in case dilations = 2 (a.o. cases where image and kernel are 2D and 1D, with and without padding, and with stride = 2). [lower_convs_to_matmul] added support for dilation value. Dilation value must be equal along each axis. [test_conv_lowering] added test case for dilations = 2 for 2D and 1D images and kernels, with and without padding, and with stride = 2. * [lower_convs_to_matmul] removed old assertion [test_conv_lowering] added more dilation values to test cases. Dilation values of {1, 2, 3, 4} are tested. * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim [test_conv_lowering] changed function call to compute_conv_output_dim * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim. [test_conv_lowering] changed function call to compute_conv_output_dim. [lower_convs_to_matmul] removed old assertion. * [im2col]: minor fix with assumption on kernel dimension [lower_convs_to_matmul]: minor fix with assumption on kernel dimension * [change_3d_tensors_to_4d]: added new transformation that transforms 3D tensors to 4D and changes the nodes accordingly [test_4d_conversion]: test function for 3D to 4D tensor transformation * [change_3d_tensors_to_4d]: added new transformation that changes 3D tensors to 4D. [test_4d_conversion]: added a test case for the 3D to 4D transformation. * [change_3d_tensors_to_4d]: added 3D to 4D transformation (for QuartzNet). [test_4d_conversion]: added test case for 3D to 4D transform. * [change_3d_tensors_to_4d]: changed how an invalid graph is handled. [test_4d_conversion]: changed the test case for an invalid graph. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [im2col]: minor style change and changed the way how a square kernel is instantiated. * [test_conv_lowering]: merged tests for depthwise and standard convolutions. * [test_conv_lowering]: minor fix for test case depthwise and regular convolutions * [im2col]: minor style adjustment. [test_conv_lowering]: merged test functions into one test function. * [change_3d_tensors_to_4d]: style fixes and comments. [test_4d_converions]: rearranged code. * [Transform] check invalid node list length * [change_3d_tensors_to_4d]: rearranged the code to make it more readable. Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * [Docs] update tutorials * [Util] experimental: fast_mode data packing for binary (#24) * Generic partitioning feature (#23) * Add basic partitioning functionality * Mount build dir within docker container * Support for non-linear models and multi in/out partitions * Remove dataflowpartition custom op from finn-base * Fix temporary build dir for CI * Fix docstring * [create_generic_partitions]: minor modification, removed redundant output value_info entries. (#26) * [extend_partition]: added a new transformation ExtendPartition. (#27) [test_extend_partition]: added a test case for the new transformation. * Added support for non-equal strides along different axes (#25) * [im2col]: added support for non-equal strides along different axes and cleaned up the code. [lower_convs_to_matmul]: added support for non-equal strides along different axes and cleaned up the code. [test_conv_lowering]: added test case for non-equal strides along different axes. * [im2col]: minor fix. [test_im2col]: added test case for non-equal strides along different axes. * Changes for supporting vitis_hls (#28) * [Refactor] split up RTL/HLS-related utils * [Util] rename to CallHLS and allow specifying vivado_hls/vitis_hls * [Util] more flexible stream naming in rtlsim_multi_io * Changes for supporting non-equal dilation (#29) * added support for non-equal dilation value along (H, W) dimension * added test cases for non-equal dilation configurations * appending dilation value along dummy dimension correctly (i.e. with a '1') * changed tensor sparsity annotation for consistency * Support infer_datatype for flatten layer (#30) * Support infer_datatype for flatten layer * [InferDT] add more identity op types for datatype inference * [Lint] fix linting issues Co-authored-by: Yaman Umuroglu <maltanar@gmail.com> * Update AUTHORS.rst * Create python-publish.yml * Add ZCU111 board to part map (#32) * Update AUTHORS.rst Co-authored-by: Mirza Mrahorovic <34712307+mmrahorovic@users.noreply.github.com> Co-authored-by: jalezeta <51440887+jalezeta@users.noreply.github.com> Co-authored-by: Felix Jentzsch <45395194+fpjentzsch@users.noreply.github.com> * Update python-publish.yml * Update python-publish.yml * Lint Co-authored-by: Mirza Mrahorovic <34712307+mmrahorovic@users.noreply.github.com> Co-authored-by: jalezeta <51440887+jalezeta@users.noreply.github.com> Co-authored-by: Felix Jentzsch <45395194+fpjentzsch@users.noreply.github.com>
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* [create_generic_partitions]: minor modification, removed redundant output value_info entries. (#26) * [extend_partition]: added a new transformation ExtendPartition. (#27) [test_extend_partition]: added a test case for the new transformation. * Added support for non-equal strides along different axes (#25) * [im2col]: added support for non-equal strides along different axes and cleaned up the code. [lower_convs_to_matmul]: added support for non-equal strides along different axes and cleaned up the code. [test_conv_lowering]: added test case for non-equal strides along different axes. * [im2col]: minor fix. [test_im2col]: added test case for non-equal strides along different axes. * Changes for supporting vitis_hls (#28) * [Refactor] split up RTL/HLS-related utils * [Util] rename to CallHLS and allow specifying vivado_hls/vitis_hls * [Util] more flexible stream naming in rtlsim_multi_io * Changes for supporting non-equal dilation (#29) * added support for non-equal dilation value along (H, W) dimension * added test cases for non-equal dilation configurations * appending dilation value along dummy dimension correctly (i.e. with a '1') * changed tensor sparsity annotation for consistency * Support infer_datatype for flatten layer (#30) * Support infer_datatype for flatten layer * [InferDT] add more identity op types for datatype inference * [Lint] fix linting issues Co-authored-by: Yaman Umuroglu <maltanar@gmail.com> * Update AUTHORS.rst * Create python-publish.yml * Add ZCU111 board to part map (#32) * Update AUTHORS.rst * GHA for PyPI, sdist only (#35) * finn-base v0.0.2 (#34) * Modified set_nodeattr to allow using it on repeated fields (#18) * [base]: changed how the floats, ints, strings, tensors, graphs and sparse_tensors field of AttributeProto is set. * [Core] restrict attributes to tested types Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Support for non-square input images and kernels for im2col node (#20) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [Im2Col] style fixes and comments Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update AUTHORS.rst * Support for non-square input images and kernels in LowerConvsToMatMul transformation (#16) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim. [test_conv_lowering] changed function call to compute_conv_output_dim. [lower_convs_to_matmul] removed old assertion. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [test_conv_lowering]: minor fix for test case depthwise and regular convolutions * Support for non-square input images and kernels for im2col node (#20) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [Im2Col] style fixes and comments Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update AUTHORS.rst Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Added support for dilation value = 2 for 1D and 2D images/kernels (#17) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col] added support for dilations = 2 for 2D and 1D images. Dilation value must be equal along each axis. [test_im2col] added several test cases in case dilations = 2 (a.o. cases where image and kernel are 2D and 1D, with and without padding, and with stride = 2). [lower_convs_to_matmul] added support for dilation value. Dilation value must be equal along each axis. [test_conv_lowering] added test case for dilations = 2 for 2D and 1D images and kernels, with and without padding, and with stride = 2. * [lower_convs_to_matmul] removed old assertion [test_conv_lowering] added more dilation values to test cases. Dilation values of {1, 2, 3, 4} are tested. * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim [test_conv_lowering] changed function call to compute_conv_output_dim * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim. [test_conv_lowering] changed function call to compute_conv_output_dim. [lower_convs_to_matmul] removed old assertion. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [test_conv_lowering]: minor fix for test case depthwise and regular convolutions * [im2col]: minor style adjustment. [test_conv_lowering]: merged test functions into one test function. * Support for non-square input images and kernels for im2col node (#20) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [Im2Col] style fixes and comments Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update AUTHORS.rst * Support for non-square input images and kernels in LowerConvsToMatMul transformation (#16) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim. [test_conv_lowering] changed function call to compute_conv_output_dim. [lower_convs_to_matmul] removed old assertion. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [test_conv_lowering]: minor fix for test case depthwise and regular convolutions * Support for non-square input images and kernels for im2col node (#20) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [Im2Col] style fixes and comments Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update AUTHORS.rst Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update quantavgpool2d.py (#22) Add "Copyright (c) 2021 Xilinx, Inc" heather * [batchnorm_to_affine]: epsilon value is now read out from the attributes. (#21) [test_batchnorm_to_affine]: added a test case for various epsilon values. * Added 3D to 4D (tensor) transformation (#19) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col] added support for dilations = 2 for 2D and 1D images. Dilation value must be equal along each axis. [test_im2col] added several test cases in case dilations = 2 (a.o. cases where image and kernel are 2D and 1D, with and without padding, and with stride = 2). [lower_convs_to_matmul] added support for dilation value. Dilation value must be equal along each axis. [test_conv_lowering] added test case for dilations = 2 for 2D and 1D images and kernels, with and without padding, and with stride = 2. * [lower_convs_to_matmul] removed old assertion [test_conv_lowering] added more dilation values to test cases. Dilation values of {1, 2, 3, 4} are tested. * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim [test_conv_lowering] changed function call to compute_conv_output_dim * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim. [test_conv_lowering] changed function call to compute_conv_output_dim. [lower_convs_to_matmul] removed old assertion. * [im2col]: minor fix with assumption on kernel dimension [lower_convs_to_matmul]: minor fix with assumption on kernel dimension * [change_3d_tensors_to_4d]: added new transformation that transforms 3D tensors to 4D and changes the nodes accordingly [test_4d_conversion]: test function for 3D to 4D tensor transformation * [change_3d_tensors_to_4d]: added new transformation that changes 3D tensors to 4D. [test_4d_conversion]: added a test case for the 3D to 4D transformation. * [change_3d_tensors_to_4d]: added 3D to 4D transformation (for QuartzNet). [test_4d_conversion]: added test case for 3D to 4D transform. * [change_3d_tensors_to_4d]: changed how an invalid graph is handled. [test_4d_conversion]: changed the test case for an invalid graph. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [im2col]: minor style change and changed the way how a square kernel is instantiated. * [test_conv_lowering]: merged tests for depthwise and standard convolutions. * [test_conv_lowering]: minor fix for test case depthwise and regular convolutions * [im2col]: minor style adjustment. [test_conv_lowering]: merged test functions into one test function. * [change_3d_tensors_to_4d]: style fixes and comments. [test_4d_converions]: rearranged code. * [Transform] check invalid node list length * [change_3d_tensors_to_4d]: rearranged the code to make it more readable. Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * [Docs] update tutorials * [Util] experimental: fast_mode data packing for binary (#24) * Generic partitioning feature (#23) * Add basic partitioning functionality * Mount build dir within docker container * Support for non-linear models and multi in/out partitions * Remove dataflowpartition custom op from finn-base * Fix temporary build dir for CI * Fix docstring * [create_generic_partitions]: minor modification, removed redundant output value_info entries. (#26) * [extend_partition]: added a new transformation ExtendPartition. (#27) [test_extend_partition]: added a test case for the new transformation. * Added support for non-equal strides along different axes (#25) * [im2col]: added support for non-equal strides along different axes and cleaned up the code. [lower_convs_to_matmul]: added support for non-equal strides along different axes and cleaned up the code. [test_conv_lowering]: added test case for non-equal strides along different axes. * [im2col]: minor fix. [test_im2col]: added test case for non-equal strides along different axes. * Changes for supporting vitis_hls (#28) * [Refactor] split up RTL/HLS-related utils * [Util] rename to CallHLS and allow specifying vivado_hls/vitis_hls * [Util] more flexible stream naming in rtlsim_multi_io * Changes for supporting non-equal dilation (#29) * added support for non-equal dilation value along (H, W) dimension * added test cases for non-equal dilation configurations * appending dilation value along dummy dimension correctly (i.e. with a '1') * changed tensor sparsity annotation for consistency * Support infer_datatype for flatten layer (#30) * Support infer_datatype for flatten layer * [InferDT] add more identity op types for datatype inference * [Lint] fix linting issues Co-authored-by: Yaman Umuroglu <maltanar@gmail.com> * Update AUTHORS.rst * Create python-publish.yml * Add ZCU111 board to part map (#32) * Update AUTHORS.rst Co-authored-by: Mirza Mrahorovic <34712307+mmrahorovic@users.noreply.github.com> Co-authored-by: jalezeta <51440887+jalezeta@users.noreply.github.com> Co-authored-by: Felix Jentzsch <45395194+fpjentzsch@users.noreply.github.com> * Update python-publish.yml * Update python-publish.yml * Lint Co-authored-by: Mirza Mrahorovic <34712307+mmrahorovic@users.noreply.github.com> Co-authored-by: jalezeta <51440887+jalezeta@users.noreply.github.com> Co-authored-by: Felix Jentzsch <45395194+fpjentzsch@users.noreply.github.com> Co-authored-by: Mirza Mrahorovic <34712307+mmrahorovic@users.noreply.github.com> Co-authored-by: Felix Jentzsch <45395194+fpjentzsch@users.noreply.github.com> Co-authored-by: jalezeta <51440887+jalezeta@users.noreply.github.com>
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* Add default Verilator args to disable warnings, force inlining * Update AUTHORS.rst * Create python-publish.yml * Add ZCU111 board to part map (#32) * Update AUTHORS.rst * GHA for PyPI, sdist only (#35) * finn-base v0.0.2 (#34) * Modified set_nodeattr to allow using it on repeated fields (#18) * [base]: changed how the floats, ints, strings, tensors, graphs and sparse_tensors field of AttributeProto is set. * [Core] restrict attributes to tested types Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Support for non-square input images and kernels for im2col node (#20) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [Im2Col] style fixes and comments Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update AUTHORS.rst * Support for non-square input images and kernels in LowerConvsToMatMul transformation (#16) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim. [test_conv_lowering] changed function call to compute_conv_output_dim. [lower_convs_to_matmul] removed old assertion. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [test_conv_lowering]: minor fix for test case depthwise and regular convolutions * Support for non-square input images and kernels for im2col node (#20) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [Im2Col] style fixes and comments Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update AUTHORS.rst Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Added support for dilation value = 2 for 1D and 2D images/kernels (#17) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col] added support for dilations = 2 for 2D and 1D images. Dilation value must be equal along each axis. [test_im2col] added several test cases in case dilations = 2 (a.o. cases where image and kernel are 2D and 1D, with and without padding, and with stride = 2). [lower_convs_to_matmul] added support for dilation value. Dilation value must be equal along each axis. [test_conv_lowering] added test case for dilations = 2 for 2D and 1D images and kernels, with and without padding, and with stride = 2. * [lower_convs_to_matmul] removed old assertion [test_conv_lowering] added more dilation values to test cases. Dilation values of {1, 2, 3, 4} are tested. * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim [test_conv_lowering] changed function call to compute_conv_output_dim * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim. [test_conv_lowering] changed function call to compute_conv_output_dim. [lower_convs_to_matmul] removed old assertion. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [test_conv_lowering]: minor fix for test case depthwise and regular convolutions * [im2col]: minor style adjustment. [test_conv_lowering]: merged test functions into one test function. * Support for non-square input images and kernels for im2col node (#20) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [Im2Col] style fixes and comments Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update AUTHORS.rst * Support for non-square input images and kernels in LowerConvsToMatMul transformation (#16) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim. [test_conv_lowering] changed function call to compute_conv_output_dim. [lower_convs_to_matmul] removed old assertion. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [test_conv_lowering]: minor fix for test case depthwise and regular convolutions * Support for non-square input images and kernels for im2col node (#20) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [Im2Col] style fixes and comments Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update AUTHORS.rst Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update quantavgpool2d.py (#22) Add "Copyright (c) 2021 Xilinx, Inc" heather * [batchnorm_to_affine]: epsilon value is now read out from the attributes. (#21) [test_batchnorm_to_affine]: added a test case for various epsilon values. * Added 3D to 4D (tensor) transformation (#19) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col] added support for dilations = 2 for 2D and 1D images. Dilation value must be equal along each axis. [test_im2col] added several test cases in case dilations = 2 (a.o. cases where image and kernel are 2D and 1D, with and without padding, and with stride = 2). [lower_convs_to_matmul] added support for dilation value. Dilation value must be equal along each axis. [test_conv_lowering] added test case for dilations = 2 for 2D and 1D images and kernels, with and without padding, and with stride = 2. * [lower_convs_to_matmul] removed old assertion [test_conv_lowering] added more dilation values to test cases. Dilation values of {1, 2, 3, 4} are tested. * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim [test_conv_lowering] changed function call to compute_conv_output_dim * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim. [test_conv_lowering] changed function call to compute_conv_output_dim. [lower_convs_to_matmul] removed old assertion. * [im2col]: minor fix with assumption on kernel dimension [lower_convs_to_matmul]: minor fix with assumption on kernel dimension * [change_3d_tensors_to_4d]: added new transformation that transforms 3D tensors to 4D and changes the nodes accordingly [test_4d_conversion]: test function for 3D to 4D tensor transformation * [change_3d_tensors_to_4d]: added new transformation that changes 3D tensors to 4D. [test_4d_conversion]: added a test case for the 3D to 4D transformation. * [change_3d_tensors_to_4d]: added 3D to 4D transformation (for QuartzNet). [test_4d_conversion]: added test case for 3D to 4D transform. * [change_3d_tensors_to_4d]: changed how an invalid graph is handled. [test_4d_conversion]: changed the test case for an invalid graph. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [im2col]: minor style change and changed the way how a square kernel is instantiated. * [test_conv_lowering]: merged tests for depthwise and standard convolutions. * [test_conv_lowering]: minor fix for test case depthwise and regular convolutions * [im2col]: minor style adjustment. [test_conv_lowering]: merged test functions into one test function. * [change_3d_tensors_to_4d]: style fixes and comments. [test_4d_converions]: rearranged code. * [Transform] check invalid node list length * [change_3d_tensors_to_4d]: rearranged the code to make it more readable. Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * [Docs] update tutorials * [Util] experimental: fast_mode data packing for binary (#24) * Generic partitioning feature (#23) * Add basic partitioning functionality * Mount build dir within docker container * Support for non-linear models and multi in/out partitions * Remove dataflowpartition custom op from finn-base * Fix temporary build dir for CI * Fix docstring * [create_generic_partitions]: minor modification, removed redundant output value_info entries. (#26) * [extend_partition]: added a new transformation ExtendPartition. (#27) [test_extend_partition]: added a test case for the new transformation. * Added support for non-equal strides along different axes (#25) * [im2col]: added support for non-equal strides along different axes and cleaned up the code. [lower_convs_to_matmul]: added support for non-equal strides along different axes and cleaned up the code. [test_conv_lowering]: added test case for non-equal strides along different axes. * [im2col]: minor fix. [test_im2col]: added test case for non-equal strides along different axes. * Changes for supporting vitis_hls (#28) * [Refactor] split up RTL/HLS-related utils * [Util] rename to CallHLS and allow specifying vivado_hls/vitis_hls * [Util] more flexible stream naming in rtlsim_multi_io * Changes for supporting non-equal dilation (#29) * added support for non-equal dilation value along (H, W) dimension * added test cases for non-equal dilation configurations * appending dilation value along dummy dimension correctly (i.e. with a '1') * changed tensor sparsity annotation for consistency * Support infer_datatype for flatten layer (#30) * Support infer_datatype for flatten layer * [InferDT] add more identity op types for datatype inference * [Lint] fix linting issues Co-authored-by: Yaman Umuroglu <maltanar@gmail.com> * Update AUTHORS.rst * Create python-publish.yml * Add ZCU111 board to part map (#32) * Update AUTHORS.rst Co-authored-by: Mirza Mrahorovic <34712307+mmrahorovic@users.noreply.github.com> Co-authored-by: jalezeta <51440887+jalezeta@users.noreply.github.com> Co-authored-by: Felix Jentzsch <45395194+fpjentzsch@users.noreply.github.com> * Update python-publish.yml * Update python-publish.yml * Lint Co-authored-by: Mirza Mrahorovic <34712307+mmrahorovic@users.noreply.github.com> Co-authored-by: jalezeta <51440887+jalezeta@users.noreply.github.com> Co-authored-by: Felix Jentzsch <45395194+fpjentzsch@users.noreply.github.com> * fix broken logo in README * Extend Change3DTo4DTensors() to more layers (#31) * Support infer_datatype for flatten layer * 3d_to_4d support for additional nodes * Bugfix * Add ZCU111 to part map * Fix ZCU111 part * Separate PRs * Bugfix, new test case * [Docker] pin pyverilator version * [Util] pyverilate_stitched_ip: disable_common_warnings optional Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> Co-authored-by: Mirza Mrahorovic <34712307+mmrahorovic@users.noreply.github.com> Co-authored-by: jalezeta <51440887+jalezeta@users.noreply.github.com>
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* Update AUTHORS.rst * Create python-publish.yml * Add ZCU111 board to part map (#32) * Update AUTHORS.rst * GHA for PyPI, sdist only (#35) * finn-base v0.0.2 (#34) * Modified set_nodeattr to allow using it on repeated fields (#18) * [base]: changed how the floats, ints, strings, tensors, graphs and sparse_tensors field of AttributeProto is set. * [Core] restrict attributes to tested types Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Support for non-square input images and kernels for im2col node (#20) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [Im2Col] style fixes and comments Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update AUTHORS.rst * Support for non-square input images and kernels in LowerConvsToMatMul transformation (#16) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim. [test_conv_lowering] changed function call to compute_conv_output_dim. [lower_convs_to_matmul] removed old assertion. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [test_conv_lowering]: minor fix for test case depthwise and regular convolutions * Support for non-square input images and kernels for im2col node (#20) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [Im2Col] style fixes and comments Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update AUTHORS.rst Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Added support for dilation value = 2 for 1D and 2D images/kernels (#17) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col] added support for dilations = 2 for 2D and 1D images. Dilation value must be equal along each axis. [test_im2col] added several test cases in case dilations = 2 (a.o. cases where image and kernel are 2D and 1D, with and without padding, and with stride = 2). [lower_convs_to_matmul] added support for dilation value. Dilation value must be equal along each axis. [test_conv_lowering] added test case for dilations = 2 for 2D and 1D images and kernels, with and without padding, and with stride = 2. * [lower_convs_to_matmul] removed old assertion [test_conv_lowering] added more dilation values to test cases. Dilation values of {1, 2, 3, 4} are tested. * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim [test_conv_lowering] changed function call to compute_conv_output_dim * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim. [test_conv_lowering] changed function call to compute_conv_output_dim. [lower_convs_to_matmul] removed old assertion. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [test_conv_lowering]: minor fix for test case depthwise and regular convolutions * [im2col]: minor style adjustment. [test_conv_lowering]: merged test functions into one test function. * Support for non-square input images and kernels for im2col node (#20) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [Im2Col] style fixes and comments Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update AUTHORS.rst * Support for non-square input images and kernels in LowerConvsToMatMul transformation (#16) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim. [test_conv_lowering] changed function call to compute_conv_output_dim. [lower_convs_to_matmul] removed old assertion. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [test_conv_lowering]: minor fix for test case depthwise and regular convolutions * Support for non-square input images and kernels for im2col node (#20) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [Im2Col] style fixes and comments Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update AUTHORS.rst Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update quantavgpool2d.py (#22) Add "Copyright (c) 2021 Xilinx, Inc" heather * [batchnorm_to_affine]: epsilon value is now read out from the attributes. (#21) [test_batchnorm_to_affine]: added a test case for various epsilon values. * Added 3D to 4D (tensor) transformation (#19) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col] added support for dilations = 2 for 2D and 1D images. Dilation value must be equal along each axis. [test_im2col] added several test cases in case dilations = 2 (a.o. cases where image and kernel are 2D and 1D, with and without padding, and with stride = 2). [lower_convs_to_matmul] added support for dilation value. Dilation value must be equal along each axis. [test_conv_lowering] added test case for dilations = 2 for 2D and 1D images and kernels, with and without padding, and with stride = 2. * [lower_convs_to_matmul] removed old assertion [test_conv_lowering] added more dilation values to test cases. Dilation values of {1, 2, 3, 4} are tested. * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim [test_conv_lowering] changed function call to compute_conv_output_dim * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim. [test_conv_lowering] changed function call to compute_conv_output_dim. [lower_convs_to_matmul] removed old assertion. * [im2col]: minor fix with assumption on kernel dimension [lower_convs_to_matmul]: minor fix with assumption on kernel dimension * [change_3d_tensors_to_4d]: added new transformation that transforms 3D tensors to 4D and changes the nodes accordingly [test_4d_conversion]: test function for 3D to 4D tensor transformation * [change_3d_tensors_to_4d]: added new transformation that changes 3D tensors to 4D. [test_4d_conversion]: added a test case for the 3D to 4D transformation. * [change_3d_tensors_to_4d]: added 3D to 4D transformation (for QuartzNet). [test_4d_conversion]: added test case for 3D to 4D transform. * [change_3d_tensors_to_4d]: changed how an invalid graph is handled. [test_4d_conversion]: changed the test case for an invalid graph. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [im2col]: minor style change and changed the way how a square kernel is instantiated. * [test_conv_lowering]: merged tests for depthwise and standard convolutions. * [test_conv_lowering]: minor fix for test case depthwise and regular convolutions * [im2col]: minor style adjustment. [test_conv_lowering]: merged test functions into one test function. * [change_3d_tensors_to_4d]: style fixes and comments. [test_4d_converions]: rearranged code. * [Transform] check invalid node list length * [change_3d_tensors_to_4d]: rearranged the code to make it more readable. Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * [Docs] update tutorials * [Util] experimental: fast_mode data packing for binary (#24) * Generic partitioning feature (#23) * Add basic partitioning functionality * Mount build dir within docker container * Support for non-linear models and multi in/out partitions * Remove dataflowpartition custom op from finn-base * Fix temporary build dir for CI * Fix docstring * [create_generic_partitions]: minor modification, removed redundant output value_info entries. (#26) * [extend_partition]: added a new transformation ExtendPartition. (#27) [test_extend_partition]: added a test case for the new transformation. * Added support for non-equal strides along different axes (#25) * [im2col]: added support for non-equal strides along different axes and cleaned up the code. [lower_convs_to_matmul]: added support for non-equal strides along different axes and cleaned up the code. [test_conv_lowering]: added test case for non-equal strides along different axes. * [im2col]: minor fix. [test_im2col]: added test case for non-equal strides along different axes. * Changes for supporting vitis_hls (#28) * [Refactor] split up RTL/HLS-related utils * [Util] rename to CallHLS and allow specifying vivado_hls/vitis_hls * [Util] more flexible stream naming in rtlsim_multi_io * Changes for supporting non-equal dilation (#29) * added support for non-equal dilation value along (H, W) dimension * added test cases for non-equal dilation configurations * appending dilation value along dummy dimension correctly (i.e. with a '1') * changed tensor sparsity annotation for consistency * Support infer_datatype for flatten layer (#30) * Support infer_datatype for flatten layer * [InferDT] add more identity op types for datatype inference * [Lint] fix linting issues Co-authored-by: Yaman Umuroglu <maltanar@gmail.com> * Update AUTHORS.rst * Create python-publish.yml * Add ZCU111 board to part map (#32) * Update AUTHORS.rst Co-authored-by: Mirza Mrahorovic <34712307+mmrahorovic@users.noreply.github.com> Co-authored-by: jalezeta <51440887+jalezeta@users.noreply.github.com> Co-authored-by: Felix Jentzsch <45395194+fpjentzsch@users.noreply.github.com> * Update python-publish.yml * Update python-publish.yml * Lint Co-authored-by: Mirza Mrahorovic <34712307+mmrahorovic@users.noreply.github.com> Co-authored-by: jalezeta <51440887+jalezeta@users.noreply.github.com> Co-authored-by: Felix Jentzsch <45395194+fpjentzsch@users.noreply.github.com> * Inference cost: JSON export, parameter for output onnx * Added support for cost estimation for upsampling Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> Co-authored-by: Felix Jentzsch <45395194+fpjentzsch@users.noreply.github.com> Co-authored-by: Mirza Mrahorovic <34712307+mmrahorovic@users.noreply.github.com> Co-authored-by: jalezeta <51440887+jalezeta@users.noreply.github.com> Co-authored-by: Felix Jentzsch <fepaje@mail.upb.de>
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* [Op] add skeleton for Quant custom op * [Op] more comments on Quant op * [InferDT] add MaxPool to list of identity ops for datatype inf. * [Transform] temporarily exclude Quant ops from const folding * [Analysis] add skeleton for inference_cost, limited conv support * [Analysis] support inference_cost_matmul * [Deps] add clize * [Util] add inference_cost util with entrypoint * [Docker] add clize * [Infra] add entrypoint for inference_cost * Preliminary implementation of quant operation * Fixed wrong numpy type in quant op * Made Quant pre-commit compatible * Changed docker base image to PyTorch and added Brevitas dockerfile and entrypoint * Implemented preliminary test for Quant operation * Reworked comments for Quant operation * Readability improvements for Quant operation * Created preliminary Quant op documentation * Move Quant op documentation * Made documentation of quant attributes more precise. * Created skeleton for Trunc QNNX operation * [DataType] add experimental SCALED(U)INT DataTypes * [Quant] use new scaled int dtypes for dt inference * [TypInf] use non-integer instead of float check in dt inference * [ConstFold] make op exclusion optional * [Analysis] deal with dyn matmul, add some zero-cost op types * [Analysis] make inference_cost optionally sparse-weights-aware * [Util] pass sparsity option to analysis pass, kwargs only for clize * [Analysis] add more free ops to inference_cost * [Quant] fallback to float32 for failed dtype inference * Inference cost: JSON export, parameter for output onnx * Removed FINN dependency from documentation * Added support for executing qonnx custom_ops. * Add support for Bipolar and Binary FINN datatype for Quant op. (#41) * Add support for Bipolar and Binary FINN datatype for Quant op. * [Quant] custom qnt execution for bipolar until Brevitas bug resolved Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Added support for cost estimation for upsampling (#37) * Update AUTHORS.rst * Create python-publish.yml * Add ZCU111 board to part map (#32) * Update AUTHORS.rst * GHA for PyPI, sdist only (#35) * finn-base v0.0.2 (#34) * Modified set_nodeattr to allow using it on repeated fields (#18) * [base]: changed how the floats, ints, strings, tensors, graphs and sparse_tensors field of AttributeProto is set. * [Core] restrict attributes to tested types Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Support for non-square input images and kernels for im2col node (#20) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [Im2Col] style fixes and comments Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update AUTHORS.rst * Support for non-square input images and kernels in LowerConvsToMatMul transformation (#16) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim. [test_conv_lowering] changed function call to compute_conv_output_dim. [lower_convs_to_matmul] removed old assertion. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [test_conv_lowering]: minor fix for test case depthwise and regular convolutions * Support for non-square input images and kernels for im2col node (#20) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [Im2Col] style fixes and comments Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update AUTHORS.rst Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Added support for dilation value = 2 for 1D and 2D images/kernels (#17) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col] added support for dilations = 2 for 2D and 1D images. Dilation value must be equal along each axis. [test_im2col] added several test cases in case dilations = 2 (a.o. cases where image and kernel are 2D and 1D, with and without padding, and with stride = 2). [lower_convs_to_matmul] added support for dilation value. Dilation value must be equal along each axis. [test_conv_lowering] added test case for dilations = 2 for 2D and 1D images and kernels, with and without padding, and with stride = 2. * [lower_convs_to_matmul] removed old assertion [test_conv_lowering] added more dilation values to test cases. Dilation values of {1, 2, 3, 4} are tested. * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim [test_conv_lowering] changed function call to compute_conv_output_dim * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim. [test_conv_lowering] changed function call to compute_conv_output_dim. [lower_convs_to_matmul] removed old assertion. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [test_conv_lowering]: minor fix for test case depthwise and regular convolutions * [im2col]: minor style adjustment. [test_conv_lowering]: merged test functions into one test function. * Support for non-square input images and kernels for im2col node (#20) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [Im2Col] style fixes and comments Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update AUTHORS.rst * Support for non-square input images and kernels in LowerConvsToMatMul transformation (#16) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim. [test_conv_lowering] changed function call to compute_conv_output_dim. [lower_convs_to_matmul] removed old assertion. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [test_conv_lowering]: minor fix for test case depthwise and regular convolutions * Support for non-square input images and kernels for im2col node (#20) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [Im2Col] style fixes and comments Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update AUTHORS.rst Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * Update quantavgpool2d.py (#22) Add "Copyright (c) 2021 Xilinx, Inc" heather * [batchnorm_to_affine]: epsilon value is now read out from the attributes. (#21) [test_batchnorm_to_affine]: added a test case for various epsilon values. * Added 3D to 4D (tensor) transformation (#19) * [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels * [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node * [base]: changed how the "ints" field of AttributeProto set. [test_general_transformation]: changed the type of the kernel_size attribute to list of integers * removed unused import * [base]: added support for writing repeated fields in AttributeProto * minor style changes * [im2col, test_im2col]: added support for non-equal padding * [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding. [test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution. * [test_conv_lowering]: included 1D depthwise and regular convolutions in tests * Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests" This reverts commit 3ff449c * Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding." This reverts commit 15e34ed. * Revert "[im2col, test_im2col]: added support for non-equal padding" This reverts commit c524020. * [im2col] added support for dilations = 2 for 2D and 1D images. Dilation value must be equal along each axis. [test_im2col] added several test cases in case dilations = 2 (a.o. cases where image and kernel are 2D and 1D, with and without padding, and with stride = 2). [lower_convs_to_matmul] added support for dilation value. Dilation value must be equal along each axis. [test_conv_lowering] added test case for dilations = 2 for 2D and 1D images and kernels, with and without padding, and with stride = 2. * [lower_convs_to_matmul] removed old assertion [test_conv_lowering] added more dilation values to test cases. Dilation values of {1, 2, 3, 4} are tested. * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim [test_conv_lowering] changed function call to compute_conv_output_dim * [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed. [test_im2col] changed function call to compute_conv_output_dim. [test_conv_lowering] changed function call to compute_conv_output_dim. [lower_convs_to_matmul] removed old assertion. * [im2col]: minor fix with assumption on kernel dimension [lower_convs_to_matmul]: minor fix with assumption on kernel dimension * [change_3d_tensors_to_4d]: added new transformation that transforms 3D tensors to 4D and changes the nodes accordingly [test_4d_conversion]: test function for 3D to 4D tensor transformation * [change_3d_tensors_to_4d]: added new transformation that changes 3D tensors to 4D. [test_4d_conversion]: added a test case for the 3D to 4D transformation. * [change_3d_tensors_to_4d]: added 3D to 4D transformation (for QuartzNet). [test_4d_conversion]: added test case for 3D to 4D transform. * [change_3d_tensors_to_4d]: changed how an invalid graph is handled. [test_4d_conversion]: changed the test case for an invalid graph. * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: changed how a square kernel is instantiated. [lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated). * [im2col]: minor change in style. * [im2col]: minor style change and changed the way how a square kernel is instantiated. * [test_conv_lowering]: merged tests for depthwise and standard convolutions. * [test_conv_lowering]: minor fix for test case depthwise and regular convolutions * [im2col]: minor style adjustment. [test_conv_lowering]: merged test functions into one test function. * [change_3d_tensors_to_4d]: style fixes and comments. [test_4d_converions]: rearranged code. * [Transform] check invalid node list length * [change_3d_tensors_to_4d]: rearranged the code to make it more readable. Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> * [Docs] update tutorials * [Util] experimental: fast_mode data packing for binary (#24) * Generic partitioning feature (#23) * Add basic partitioning functionality * Mount build dir within docker container * Support for non-linear models and multi in/out partitions * Remove dataflowpartition custom op from finn-base * Fix temporary build dir for CI * Fix docstring * [create_generic_partitions]: minor modification, removed redundant output value_info entries. (#26) * [extend_partition]: added a new transformation ExtendPartition. (#27) [test_extend_partition]: added a test case for the new transformation. * Added support for non-equal strides along different axes (#25) * [im2col]: added support for non-equal strides along different axes and cleaned up the code. [lower_convs_to_matmul]: added support for non-equal strides along different axes and cleaned up the code. [test_conv_lowering]: added test case for non-equal strides along different axes. * [im2col]: minor fix. [test_im2col]: added test case for non-equal strides along different axes. * Changes for supporting vitis_hls (#28) * [Refactor] split up RTL/HLS-related utils * [Util] rename to CallHLS and allow specifying vivado_hls/vitis_hls * [Util] more flexible stream naming in rtlsim_multi_io * Changes for supporting non-equal dilation (#29) * added support for non-equal dilation value along (H, W) dimension * added test cases for non-equal dilation configurations * appending dilation value along dummy dimension correctly (i.e. with a '1') * changed tensor sparsity annotation for consistency * Support infer_datatype for flatten layer (#30) * Support infer_datatype for flatten layer * [InferDT] add more identity op types for datatype inference * [Lint] fix linting issues Co-authored-by: Yaman Umuroglu <maltanar@gmail.com> * Update AUTHORS.rst * Create python-publish.yml * Add ZCU111 board to part map (#32) * Update AUTHORS.rst Co-authored-by: Mirza Mrahorovic <34712307+mmrahorovic@users.noreply.github.com> Co-authored-by: jalezeta <51440887+jalezeta@users.noreply.github.com> Co-authored-by: Felix Jentzsch <45395194+fpjentzsch@users.noreply.github.com> * Update python-publish.yml * Update python-publish.yml * Lint Co-authored-by: Mirza Mrahorovic <34712307+mmrahorovic@users.noreply.github.com> Co-authored-by: jalezeta <51440887+jalezeta@users.noreply.github.com> Co-authored-by: Felix Jentzsch <45395194+fpjentzsch@users.noreply.github.com> * Inference cost: JSON export, parameter for output onnx * Added support for cost estimation for upsampling Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> Co-authored-by: Felix Jentzsch <45395194+fpjentzsch@users.noreply.github.com> Co-authored-by: Mirza Mrahorovic <34712307+mmrahorovic@users.noreply.github.com> Co-authored-by: jalezeta <51440887+jalezeta@users.noreply.github.com> Co-authored-by: Felix Jentzsch <fepaje@mail.upb.de> * [Quant] fix edge case for 0d input array execution * Added trunc support for MobileNet, needs some fixing. * Made trunc datatype inference pass-through. * Addressed numpy deprecation warning in Truc op exectution. * Updated Quant op to support rounding mode. * Added support for new Trunc op. * Added support for static datatype inference to the Trunc op. * Resolved left over ToDo in Trunc op. * Remove scaledInt from Trunc op and replace with float32. * Moved RemoveIdentityOps transformation from FINN to finn-base. * Fixed a bug in RemoveIdentityOps, where an identity op would not get removed if it was preceded by another identity op. * Moved GemmToMatMul from FINN to finn-base. * Added support for recognizing MultiThreshold node in sign discovery. * Moved RemoveEmptyPadding transformation from finn to finn-base. * Updated Quant op documentation to add the rounding_mode attribute. * Added documentation for trunc op and small adjustments for Quant op documentation. * Added preliminary support for BinaryQuant node. * Updated datatype inference for Quant and BinaryQuant to remove scaledInt types. * Fixed bug in datatype inference for Quant node. * Added support for merging into non-linear graphs for _remove_node_and_rewire function. * Added another op to sign_preserving_ops. * Updated Trunc op documentation. * Extended graph based signed inference to more quantization nodes. * Renamed BinaryQuant to BipolarQuant. * Renamed BinaryQuant to BipolarQuant for Trunc op Signed inference. * Updated BipolarQuant op documentation and moved documentation of QONNX ops into their own folder. * Made remove_node_and_rewire function part of the publicly facing api. * Adapt test_remove_identity_ops to new datatype system. * Made padding removal more reliable. * Moved ExtractBiasFromConv transformation from FINN to finn-base. * Fixed changed import for test_remove_identity_ops test. * Extended MultiThreshold data type inference to adjust for float scale/bias. * Removed test_brevitas_quant_onnx_export_and_exec test, since test_QONNX_to_FINN in FINN already tests for the same. * Fixed spelling typos in QONNX op documentation. * Specified rounding operation in Quant and Trunc documentation. * Updated version description for QONNX ops documentation. * Removed dependency on onnxoptimizer. * Refactored check for float. * Refactored get_internal_dtype to get_integer_datatype. * Disabled constant folding for Quant and BipolarQuant by default. * Added a warning if an unsupported ONNX version is encountered during the GemmToMatMul transformation. * Moved functionality of RemoveEmptyPadding into RemoveIdentityOps. * Made float32 default output for Trunc node and removed #ference from node. Co-authored-by: Yaman Umuroglu <maltanar@gmail.com> Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com> Co-authored-by: Felix Jentzsch <fepaje@mail.upb.de> Co-authored-by: Felix Jentzsch <45395194+fpjentzsch@users.noreply.github.com> Co-authored-by: Mirza Mrahorovic <34712307+mmrahorovic@users.noreply.github.com> Co-authored-by: jalezeta <51440887+jalezeta@users.noreply.github.com>
maltanar
added a commit
that referenced
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Nov 4, 2021
* GHA for PyPI, sdist only (#35)
* finn-base v0.0.2 (#34)
* Modified set_nodeattr to allow using it on repeated fields (#18)
* [base]: changed how the floats, ints, strings, tensors, graphs and sparse_tensors field of AttributeProto is set.
* [Core] restrict attributes to tested types
Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
* Support for non-square input images and kernels for im2col node (#20)
* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node
* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers
* removed unused import
* [base]: added support for writing repeated fields in AttributeProto
* minor style changes
* [im2col, test_im2col]: added support for non-equal padding
* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.
* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests
* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"
This reverts commit 3ff449c42d709e640ca904c41a241bb94fc9e335
* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."
This reverts commit 15e34ed8d07d4a55996f162bd3bd1aa24b33c3ac.
* Revert "[im2col, test_im2col]: added support for non-equal padding"
This reverts commit c524020ee8a7b363eb0c30d70cf21332e9c73678.
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: minor change in style.
* [Im2Col] style fixes and comments
Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
* Update AUTHORS.rst
* Support for non-square input images and kernels in LowerConvsToMatMul transformation (#16)
* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node
* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers
* removed unused import
* [base]: added support for writing repeated fields in AttributeProto
* minor style changes
* [im2col, test_im2col]: added support for non-equal padding
* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.
* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests
* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"
This reverts commit 3ff449c42d709e640ca904c41a241bb94fc9e335
* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."
This reverts commit 15e34ed8d07d4a55996f162bd3bd1aa24b33c3ac.
* Revert "[im2col, test_im2col]: added support for non-equal padding"
This reverts commit c524020ee8a7b363eb0c30d70cf21332e9c73678.
* [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed.
[test_im2col] changed function call to compute_conv_output_dim.
[test_conv_lowering] changed function call to compute_conv_output_dim.
[lower_convs_to_matmul] removed old assertion.
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: minor change in style.
* [test_conv_lowering]: minor fix for test case depthwise and regular convolutions
* Support for non-square input images and kernels for im2col node (#20)
* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node
* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers
* removed unused import
* [base]: added support for writing repeated fields in AttributeProto
* minor style changes
* [im2col, test_im2col]: added support for non-equal padding
* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.
* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests
* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"
This reverts commit 3ff449c42d709e640ca904c41a241bb94fc9e335
* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."
This reverts commit 15e34ed8d07d4a55996f162bd3bd1aa24b33c3ac.
* Revert "[im2col, test_im2col]: added support for non-equal padding"
This reverts commit c524020ee8a7b363eb0c30d70cf21332e9c73678.
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: minor change in style.
* [Im2Col] style fixes and comments
Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
* Update AUTHORS.rst
Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
* Added support for dilation value = 2 for 1D and 2D images/kernels (#17)
* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node
* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers
* removed unused import
* [base]: added support for writing repeated fields in AttributeProto
* minor style changes
* [im2col, test_im2col]: added support for non-equal padding
* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.
* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests
* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"
This reverts commit 3ff449c42d709e640ca904c41a241bb94fc9e335
* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."
This reverts commit 15e34ed8d07d4a55996f162bd3bd1aa24b33c3ac.
* Revert "[im2col, test_im2col]: added support for non-equal padding"
This reverts commit c524020ee8a7b363eb0c30d70cf21332e9c73678.
* [im2col] added support for dilations = 2 for 2D and 1D images. Dilation value must be equal along each axis.
[test_im2col] added several test cases in case dilations = 2 (a.o. cases where image and kernel are 2D and 1D, with and without padding, and with stride = 2).
[lower_convs_to_matmul] added support for dilation value. Dilation value must be equal along each axis.
[test_conv_lowering] added test case for dilations = 2 for 2D and 1D images and kernels, with and without padding, and with stride = 2.
* [lower_convs_to_matmul] removed old assertion
[test_conv_lowering] added more dilation values to test cases. Dilation values of {1, 2, 3, 4} are tested.
* [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed.
[test_im2col] changed function call to compute_conv_output_dim
[test_conv_lowering] changed function call to compute_conv_output_dim
* [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed.
[test_im2col] changed function call to compute_conv_output_dim.
[test_conv_lowering] changed function call to compute_conv_output_dim.
[lower_convs_to_matmul] removed old assertion.
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: minor change in style.
* [test_conv_lowering]: minor fix for test case depthwise and regular convolutions
* [im2col]: minor style adjustment.
[test_conv_lowering]: merged test functions into one test function.
* Support for non-square input images and kernels for im2col node (#20)
* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node
* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers
* removed unused import
* [base]: added support for writing repeated fields in AttributeProto
* minor style changes
* [im2col, test_im2col]: added support for non-equal padding
* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.
* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests
* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"
This reverts commit 3ff449c42d709e640ca904c41a241bb94fc9e335
* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."
This reverts commit 15e34ed8d07d4a55996f162bd3bd1aa24b33c3ac.
* Revert "[im2col, test_im2col]: added support for non-equal padding"
This reverts commit c524020ee8a7b363eb0c30d70cf21332e9c73678.
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: minor change in style.
* [Im2Col] style fixes and comments
Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
* Update AUTHORS.rst
* Support for non-square input images and kernels in LowerConvsToMatMul transformation (#16)
* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node
* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers
* removed unused import
* [base]: added support for writing repeated fields in AttributeProto
* minor style changes
* [im2col, test_im2col]: added support for non-equal padding
* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.
* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests
* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"
This reverts commit 3ff449c42d709e640ca904c41a241bb94fc9e335
* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."
This reverts commit 15e34ed8d07d4a55996f162bd3bd1aa24b33c3ac.
* Revert "[im2col, test_im2col]: added support for non-equal padding"
This reverts commit c524020ee8a7b363eb0c30d70cf21332e9c73678.
* [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed.
[test_im2col] changed function call to compute_conv_output_dim.
[test_conv_lowering] changed function call to compute_conv_output_dim.
[lower_convs_to_matmul] removed old assertion.
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: minor change in style.
* [test_conv_lowering]: minor fix for test case depthwise and regular convolutions
* Support for non-square input images and kernels for im2col node (#20)
* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node
* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers
* removed unused import
* [base]: added support for writing repeated fields in AttributeProto
* minor style changes
* [im2col, test_im2col]: added support for non-equal padding
* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.
* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests
* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"
This reverts commit 3ff449c42d709e640ca904c41a241bb94fc9e335
* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."
This reverts commit 15e34ed8d07d4a55996f162bd3bd1aa24b33c3ac.
* Revert "[im2col, test_im2col]: added support for non-equal padding"
This reverts commit c524020ee8a7b363eb0c30d70cf21332e9c73678.
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: minor change in style.
* [Im2Col] style fixes and comments
Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
* Update AUTHORS.rst
Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
* Update quantavgpool2d.py (#22)
Add "Copyright (c) 2021 Xilinx, Inc" heather
* [batchnorm_to_affine]: epsilon value is now read out from the attributes. (#21)
[test_batchnorm_to_affine]: added a test case for various epsilon values.
* Added 3D to 4D (tensor) transformation (#19)
* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node
* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers
* removed unused import
* [base]: added support for writing repeated fields in AttributeProto
* minor style changes
* [im2col, test_im2col]: added support for non-equal padding
* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.
* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests
* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"
This reverts commit 3ff449c42d709e640ca904c41a241bb94fc9e335
* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."
This reverts commit 15e34ed8d07d4a55996f162bd3bd1aa24b33c3ac.
* Revert "[im2col, test_im2col]: added support for non-equal padding"
This reverts commit c524020ee8a7b363eb0c30d70cf21332e9c73678.
* [im2col] added support for dilations = 2 for 2D and 1D images. Dilation value must be equal along each axis.
[test_im2col] added several test cases in case dilations = 2 (a.o. cases where image and kernel are 2D and 1D, with and without padding, and with stride = 2).
[lower_convs_to_matmul] added support for dilation value. Dilation value must be equal along each axis.
[test_conv_lowering] added test case for dilations = 2 for 2D and 1D images and kernels, with and without padding, and with stride = 2.
* [lower_convs_to_matmul] removed old assertion
[test_conv_lowering] added more dilation values to test cases. Dilation values of {1, 2, 3, 4} are tested.
* [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed.
[test_im2col] changed function call to compute_conv_output_dim
[test_conv_lowering] changed function call to compute_conv_output_dim
* [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed.
[test_im2col] changed function call to compute_conv_output_dim.
[test_conv_lowering] changed function call to compute_conv_output_dim.
[lower_convs_to_matmul] removed old assertion.
* [im2col]: minor fix with assumption on kernel dimension
[lower_convs_to_matmul]: minor fix with assumption on kernel dimension
* [change_3d_tensors_to_4d]: added new transformation that transforms 3D tensors to 4D and changes the nodes accordingly
[test_4d_conversion]: test function for 3D to 4D tensor transformation
* [change_3d_tensors_to_4d]: added new transformation that changes 3D tensors to 4D.
[test_4d_conversion]: added a test case for the 3D to 4D transformation.
* [change_3d_tensors_to_4d]: added 3D to 4D transformation (for QuartzNet).
[test_4d_conversion]: added test case for 3D to 4D transform.
* [change_3d_tensors_to_4d]: changed how an invalid graph is handled.
[test_4d_conversion]: changed the test case for an invalid graph.
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: minor change in style.
* [im2col]: minor style change and changed the way how a square kernel is instantiated.
* [test_conv_lowering]: merged tests for depthwise and standard convolutions.
* [test_conv_lowering]: minor fix for test case depthwise and regular convolutions
* [im2col]: minor style adjustment.
[test_conv_lowering]: merged test functions into one test function.
* [change_3d_tensors_to_4d]: style fixes and comments.
[test_4d_converions]: rearranged code.
* [Transform] check invalid node list length
* [change_3d_tensors_to_4d]: rearranged the code to make it more readable.
Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
* [Docs] update tutorials
* [Util] experimental: fast_mode data packing for binary (#24)
* Generic partitioning feature (#23)
* Add basic partitioning functionality
* Mount build dir within docker container
* Support for non-linear models and multi in/out partitions
* Remove dataflowpartition custom op from finn-base
* Fix temporary build dir for CI
* Fix docstring
* [create_generic_partitions]: minor modification, removed redundant output value_info entries. (#26)
* [extend_partition]: added a new transformation ExtendPartition. (#27)
[test_extend_partition]: added a test case for the new transformation.
* Added support for non-equal strides along different axes (#25)
* [im2col]: added support for non-equal strides along different axes and cleaned up the code.
[lower_convs_to_matmul]: added support for non-equal strides along different axes and cleaned up the code.
[test_conv_lowering]: added test case for non-equal strides along different axes.
* [im2col]: minor fix.
[test_im2col]: added test case for non-equal strides along different axes.
* Changes for supporting vitis_hls (#28)
* [Refactor] split up RTL/HLS-related utils
* [Util] rename to CallHLS and allow specifying vivado_hls/vitis_hls
* [Util] more flexible stream naming in rtlsim_multi_io
* Changes for supporting non-equal dilation (#29)
* added support for non-equal dilation value along (H, W) dimension
* added test cases for non-equal dilation configurations
* appending dilation value along dummy dimension correctly (i.e. with a '1')
* changed tensor sparsity annotation for consistency
* Support infer_datatype for flatten layer (#30)
* Support infer_datatype for flatten layer
* [InferDT] add more identity op types for datatype inference
* [Lint] fix linting issues
Co-authored-by: Yaman Umuroglu <maltanar@gmail.com>
* Update AUTHORS.rst
* Create python-publish.yml
* Add ZCU111 board to part map (#32)
* Update AUTHORS.rst
Co-authored-by: Mirza Mrahorovic <34712307+mmrahorovic@users.noreply.github.com>
Co-authored-by: jalezeta <51440887+jalezeta@users.noreply.github.com>
Co-authored-by: Felix Jentzsch <45395194+fpjentzsch@users.noreply.github.com>
* Update python-publish.yml
* Update python-publish.yml
* Lint
Co-authored-by: Mirza Mrahorovic <34712307+mmrahorovic@users.noreply.github.com>
Co-authored-by: jalezeta <51440887+jalezeta@users.noreply.github.com>
Co-authored-by: Felix Jentzsch <45395194+fpjentzsch@users.noreply.github.com>
* fix broken logo in README
* Extend Change3DTo4DTensors() to more layers (#31)
* Support infer_datatype for flatten layer
* 3d_to_4d support for additional nodes
* Bugfix
* Add ZCU111 to part map
* Fix ZCU111 part
* Separate PRs
* Bugfix, new test case
* Verilator: force inlining, disable common warnings (#33)
* Add default Verilator args to disable warnings, force inlining
* Update AUTHORS.rst
* Create python-publish.yml
* Add ZCU111 board to part map (#32)
* Update AUTHORS.rst
* GHA for PyPI, sdist only (#35)
* finn-base v0.0.2 (#34)
* Modified set_nodeattr to allow using it on repeated fields (#18)
* [base]: changed how the floats, ints, strings, tensors, graphs and sparse_tensors field of AttributeProto is set.
* [Core] restrict attributes to tested types
Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
* Support for non-square input images and kernels for im2col node (#20)
* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node
* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers
* removed unused import
* [base]: added support for writing repeated fields in AttributeProto
* minor style changes
* [im2col, test_im2col]: added support for non-equal padding
* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.
* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests
* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"
This reverts commit 3ff449c42d709e640ca904c41a241bb94fc9e335
* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."
This reverts commit 15e34ed8d07d4a55996f162bd3bd1aa24b33c3ac.
* Revert "[im2col, test_im2col]: added support for non-equal padding"
This reverts commit c524020ee8a7b363eb0c30d70cf21332e9c73678.
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: minor change in style.
* [Im2Col] style fixes and comments
Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
* Update AUTHORS.rst
* Support for non-square input images and kernels in LowerConvsToMatMul transformation (#16)
* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node
* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers
* removed unused import
* [base]: added support for writing repeated fields in AttributeProto
* minor style changes
* [im2col, test_im2col]: added support for non-equal padding
* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.
* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests
* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"
This reverts commit 3ff449c42d709e640ca904c41a241bb94fc9e335
* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."
This reverts commit 15e34ed8d07d4a55996f162bd3bd1aa24b33c3ac.
* Revert "[im2col, test_im2col]: added support for non-equal padding"
This reverts commit c524020ee8a7b363eb0c30d70cf21332e9c73678.
* [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed.
[test_im2col] changed function call to compute_conv_output_dim.
[test_conv_lowering] changed function call to compute_conv_output_dim.
[lower_convs_to_matmul] removed old assertion.
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: minor change in style.
* [test_conv_lowering]: minor fix for test case depthwise and regular convolutions
* Support for non-square input images and kernels for im2col node (#20)
* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node
* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers
* removed unused import
* [base]: added support for writing repeated fields in AttributeProto
* minor style changes
* [im2col, test_im2col]: added support for non-equal padding
* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.
* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests
* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"
This reverts commit 3ff449c42d709e640ca904c41a241bb94fc9e335
* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."
This reverts commit 15e34ed8d07d4a55996f162bd3bd1aa24b33c3ac.
* Revert "[im2col, test_im2col]: added support for non-equal padding"
This reverts commit c524020ee8a7b363eb0c30d70cf21332e9c73678.
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: minor change in style.
* [Im2Col] style fixes and comments
Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
* Update AUTHORS.rst
Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
* Added support for dilation value = 2 for 1D and 2D images/kernels (#17)
* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node
* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers
* removed unused import
* [base]: added support for writing repeated fields in AttributeProto
* minor style changes
* [im2col, test_im2col]: added support for non-equal padding
* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.
* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests
* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"
This reverts commit 3ff449c42d709e640ca904c41a241bb94fc9e335
* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."
This reverts commit 15e34ed8d07d4a55996f162bd3bd1aa24b33c3ac.
* Revert "[im2col, test_im2col]: added support for non-equal padding"
This reverts commit c524020ee8a7b363eb0c30d70cf21332e9c73678.
* [im2col] added support for dilations = 2 for 2D and 1D images. Dilation value must be equal along each axis.
[test_im2col] added several test cases in case dilations = 2 (a.o. cases where image and kernel are 2D and 1D, with and without padding, and with stride = 2).
[lower_convs_to_matmul] added support for dilation value. Dilation value must be equal along each axis.
[test_conv_lowering] added test case for dilations = 2 for 2D and 1D images and kernels, with and without padding, and with stride = 2.
* [lower_convs_to_matmul] removed old assertion
[test_conv_lowering] added more dilation values to test cases. Dilation values of {1, 2, 3, 4} are tested.
* [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed.
[test_im2col] changed function call to compute_conv_output_dim
[test_conv_lowering] changed function call to compute_conv_output_dim
* [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed.
[test_im2col] changed function call to compute_conv_output_dim.
[test_conv_lowering] changed function call to compute_conv_output_dim.
[lower_convs_to_matmul] removed old assertion.
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: minor change in style.
* [test_conv_lowering]: minor fix for test case depthwise and regular convolutions
* [im2col]: minor style adjustment.
[test_conv_lowering]: merged test functions into one test function.
* Support for non-square input images and kernels for im2col node (#20)
* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node
* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers
* removed unused import
* [base]: added support for writing repeated fields in AttributeProto
* minor style changes
* [im2col, test_im2col]: added support for non-equal padding
* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.
* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests
* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"
This reverts commit 3ff449c42d709e640ca904c41a241bb94fc9e335
* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."
This reverts commit 15e34ed8d07d4a55996f162bd3bd1aa24b33c3ac.
* Revert "[im2col, test_im2col]: added support for non-equal padding"
This reverts commit c524020ee8a7b363eb0c30d70cf21332e9c73678.
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: minor change in style.
* [Im2Col] style fixes and comments
Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
* Update AUTHORS.rst
* Support for non-square input images and kernels in LowerConvsToMatMul transformation (#16)
* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node
* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers
* removed unused import
* [base]: added support for writing repeated fields in AttributeProto
* minor style changes
* [im2col, test_im2col]: added support for non-equal padding
* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.
* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests
* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"
This reverts commit 3ff449c42d709e640ca904c41a241bb94fc9e335
* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."
This reverts commit 15e34ed8d07d4a55996f162bd3bd1aa24b33c3ac.
* Revert "[im2col, test_im2col]: added support for non-equal padding"
This reverts commit c524020ee8a7b363eb0c30d70cf21332e9c73678.
* [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed.
[test_im2col] changed function call to compute_conv_output_dim.
[test_conv_lowering] changed function call to compute_conv_output_dim.
[lower_convs_to_matmul] removed old assertion.
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: minor change in style.
* [test_conv_lowering]: minor fix for test case depthwise and regular convolutions
* Support for non-square input images and kernels for im2col node (#20)
* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node
* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers
* removed unused import
* [base]: added support for writing repeated fields in AttributeProto
* minor style changes
* [im2col, test_im2col]: added support for non-equal padding
* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.
* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests
* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"
This reverts commit 3ff449c42d709e640ca904c41a241bb94fc9e335
* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."
This reverts commit 15e34ed8d07d4a55996f162bd3bd1aa24b33c3ac.
* Revert "[im2col, test_im2col]: added support for non-equal padding"
This reverts commit c524020ee8a7b363eb0c30d70cf21332e9c73678.
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: minor change in style.
* [Im2Col] style fixes and comments
Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
* Update AUTHORS.rst
Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
* Update quantavgpool2d.py (#22)
Add "Copyright (c) 2021 Xilinx, Inc" heather
* [batchnorm_to_affine]: epsilon value is now read out from the attributes. (#21)
[test_batchnorm_to_affine]: added a test case for various epsilon values.
* Added 3D to 4D (tensor) transformation (#19)
* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node
* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers
* removed unused import
* [base]: added support for writing repeated fields in AttributeProto
* minor style changes
* [im2col, test_im2col]: added support for non-equal padding
* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.
* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests
* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"
This reverts commit 3ff449c42d709e640ca904c41a241bb94fc9e335
* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."
This reverts commit 15e34ed8d07d4a55996f162bd3bd1aa24b33c3ac.
* Revert "[im2col, test_im2col]: added support for non-equal padding"
This reverts commit c524020ee8a7b363eb0c30d70cf21332e9c73678.
* [im2col] added support for dilations = 2 for 2D and 1D images. Dilation value must be equal along each axis.
[test_im2col] added several test cases in case dilations = 2 (a.o. cases where image and kernel are 2D and 1D, with and without padding, and with stride = 2).
[lower_convs_to_matmul] added support for dilation value. Dilation value must be equal along each axis.
[test_conv_lowering] added test case for dilations = 2 for 2D and 1D images and kernels, with and without padding, and with stride = 2.
* [lower_convs_to_matmul] removed old assertion
[test_conv_lowering] added more dilation values to test cases. Dilation values of {1, 2, 3, 4} are tested.
* [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed.
[test_im2col] changed function call to compute_conv_output_dim
[test_conv_lowering] changed function call to compute_conv_output_dim
* [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed.
[test_im2col] changed function call to compute_conv_output_dim.
[test_conv_lowering] changed function call to compute_conv_output_dim.
[lower_convs_to_matmul] removed old assertion.
* [im2col]: minor fix with assumption on kernel dimension
[lower_convs_to_matmul]: minor fix with assumption on kernel dimension
* [change_3d_tensors_to_4d]: added new transformation that transforms 3D tensors to 4D and changes the nodes accordingly
[test_4d_conversion]: test function for 3D to 4D tensor transformation
* [change_3d_tensors_to_4d]: added new transformation that changes 3D tensors to 4D.
[test_4d_conversion]: added a test case for the 3D to 4D transformation.
* [change_3d_tensors_to_4d]: added 3D to 4D transformation (for QuartzNet).
[test_4d_conversion]: added test case for 3D to 4D transform.
* [change_3d_tensors_to_4d]: changed how an invalid graph is handled.
[test_4d_conversion]: changed the test case for an invalid graph.
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: minor change in style.
* [im2col]: minor style change and changed the way how a square kernel is instantiated.
* [test_conv_lowering]: merged tests for depthwise and standard convolutions.
* [test_conv_lowering]: minor fix for test case depthwise and regular convolutions
* [im2col]: minor style adjustment.
[test_conv_lowering]: merged test functions into one test function.
* [change_3d_tensors_to_4d]: style fixes and comments.
[test_4d_converions]: rearranged code.
* [Transform] check invalid node list length
* [change_3d_tensors_to_4d]: rearranged the code to make it more readable.
Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
* [Docs] update tutorials
* [Util] experimental: fast_mode data packing for binary (#24)
* Generic partitioning feature (#23)
* Add basic partitioning functionality
* Mount build dir within docker container
* Support for non-linear models and multi in/out partitions
* Remove dataflowpartition custom op from finn-base
* Fix temporary build dir for CI
* Fix docstring
* [create_generic_partitions]: minor modification, removed redundant output value_info entries. (#26)
* [extend_partition]: added a new transformation ExtendPartition. (#27)
[test_extend_partition]: added a test case for the new transformation.
* Added support for non-equal strides along different axes (#25)
* [im2col]: added support for non-equal strides along different axes and cleaned up the code.
[lower_convs_to_matmul]: added support for non-equal strides along different axes and cleaned up the code.
[test_conv_lowering]: added test case for non-equal strides along different axes.
* [im2col]: minor fix.
[test_im2col]: added test case for non-equal strides along different axes.
* Changes for supporting vitis_hls (#28)
* [Refactor] split up RTL/HLS-related utils
* [Util] rename to CallHLS and allow specifying vivado_hls/vitis_hls
* [Util] more flexible stream naming in rtlsim_multi_io
* Changes for supporting non-equal dilation (#29)
* added support for non-equal dilation value along (H, W) dimension
* added test cases for non-equal dilation configurations
* appending dilation value along dummy dimension correctly (i.e. with a '1')
* changed tensor sparsity annotation for consistency
* Support infer_datatype for flatten layer (#30)
* Support infer_datatype for flatten layer
* [InferDT] add more identity op types for datatype inference
* [Lint] fix linting issues
Co-authored-by: Yaman Umuroglu <maltanar@gmail.com>
* Update AUTHORS.rst
* Create python-publish.yml
* Add ZCU111 board to part map (#32)
* Update AUTHORS.rst
Co-authored-by: Mirza Mrahorovic <34712307+mmrahorovic@users.noreply.github.com>
Co-authored-by: jalezeta <51440887+jalezeta@users.noreply.github.com>
Co-authored-by: Felix Jentzsch <45395194+fpjentzsch@users.noreply.github.com>
* Update python-publish.yml
* Update python-publish.yml
* Lint
Co-authored-by: Mirza Mrahorovic <34712307+mmrahorovic@users.noreply.github.com>
Co-authored-by: jalezeta <51440887+jalezeta@users.noreply.github.com>
Co-authored-by: Felix Jentzsch <45395194+fpjentzsch@users.noreply.github.com>
* fix broken logo in README
* Extend Change3DTo4DTensors() to more layers (#31)
* Support infer_datatype for flatten layer
* 3d_to_4d support for additional nodes
* Bugfix
* Add ZCU111 to part map
* Fix ZCU111 part
* Separate PRs
* Bugfix, new test case
* [Docker] pin pyverilator version
* [Util] pyverilate_stitched_ip: disable_common_warnings optional
Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
Co-authored-by: Mirza Mrahorovic <34712307+mmrahorovic@users.noreply.github.com>
Co-authored-by: jalezeta <51440887+jalezeta@users.noreply.github.com>
* Copied platforms from finn-experimental and made pre-commit conform (#36)
* Copied platforms from finn-experimental and made pre-commit conform
* Add ZCU102 and ZCU111 platforms
* [Util] add comments on platforms.py
Co-authored-by: Felix Jentzsch <fepaje@mail.upb.de>
Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
* Various fixes from multi-headed net testing (#45)
* [QuantAvgPool2d] support broader range of DataTypes for inference
* [pyverilator] use case-agnostic r/w fxns in rtlsim_multi_io
* [Rename] support renaming multiple i/o + add test
* [InferDT] more identity case, support NN upsample/resize
* [InferDT] fix typo
* [DataLayout] add more layout variants and MakeInputChanLast trafo
* [Test] fix test_infer_datatypes
* [ModelWrapper] add assertions for multiple ValueInfoProto
multiple VIPs cause undefined behavior when changing the graph
* [Core] node input ValueInfos can come from graph output too
* [Partition] don't duplicate VIP for border nodes
* [Test] increase atol for test_batchnorm_to_affine_shufflenet
* chore: Add message to AssertionError (#44)
* chore: Add message to AssertionError when file passed to ModelWrapper does not exists (or is not a file)
* Various fixes from multi-headed net testing (#45)
* [QuantAvgPool2d] support broader range of DataTypes for inference
* [pyverilator] use case-agnostic r/w fxns in rtlsim_multi_io
* [Rename] support renaming multiple i/o + add test
* [InferDT] more identity case, support NN upsample/resize
* [InferDT] fix typo
* [DataLayout] add more layout variants and MakeInputChanLast trafo
* [Test] fix test_infer_datatypes
* [ModelWrapper] add assertions for multiple ValueInfoProto
multiple VIPs cause undefined behavior when changing the graph
* [Core] node input ValueInfos can come from graph output too
* [Partition] don't duplicate VIP for border nodes
* [Test] increase atol for test_batchnorm_to_affine_shufflenet
* Run linter
Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
* [Core] hotfix, relax set_tensor_layout checks
otherwise running data layout inference on e.g. models with
reshape catches on this assertion
* [InferShapes] hotfix for defaulting to unknown data layout
* [Partition] hotfix: empty protobuf containers with pop()
iterating over the container and calling remove(x) can still
leave items inside it
* [Core] unify exec paths for GenericPartition+StreamingDFPartition
* rtlsim improvements (#47)
* bugfix in rtlsim_multi_io
* allow extra args in pyverilate_stitched_ip
* allow multiple i/o in rtlsim_exec through rtlsim_multi_io
also add possibility to pass extra args through metadata_prop
* support multiple i/o in throughput_test_rtlsim
* fast npy->rtlsim packing when innermost dim=1
* [Core] hotfix for 0-len input nodes in find_* fxns
* [Core] hotfix: bug in find_consumer implementation
* [Core] hotfix: respect model opset version for node-by-node exec
* DataType system refactoring and fixed-point types (#50)
* [DataType] sketch new classes for FINN DataTypes
* [DataType] flesh out refactored DataType for existing types
* [Refactor] DataType.X -> DataType["X"]
* [DataType] sketch FixedPointType
* [DataType] tweaks to FixedPointType + add is_fixed_point
* [Test] add test_datatypes_fixedpoint
* [Util] data packing for fixed point types
* [Test] data un/packing tests for fixed point
* [Util] more fixed-point datatype support
* [Test] test fixed-point random tensor gen
* [DataType] refactor fxn to get accumulator dt cands
* [Refactor] get_smallest_possible and get_dt_cands as staticmethod
* [Util] print dt name during sanitize_quant_tensors check
* [DataType] fix cand types for get_smallest_possible
* [Util, Test] fix unpacking for float32 + add test
* [DataType, Test] hotfix: override str/repr fxns for DataType
* [Refactor] use RandomNormal instead of Const for shape inf. (#51)
* [Test] fix and strenghten test_im2col_infer_shapes
* [Refactor] reimpl const shape inference in base CustomOp
* QONNX ops and new general transformations (#52)
* [Op] add skeleton for Quant custom op
* [Op] more comments on Quant op
* [InferDT] add MaxPool to list of identity ops for datatype inf.
* [Transform] temporarily exclude Quant ops from const folding
* [Analysis] add skeleton for inference_cost, limited conv support
* [Analysis] support inference_cost_matmul
* [Deps] add clize
* [Util] add inference_cost util with entrypoint
* [Docker] add clize
* [Infra] add entrypoint for inference_cost
* Preliminary implementation of quant operation
* Fixed wrong numpy type in quant op
* Made Quant pre-commit compatible
* Changed docker base image to PyTorch and added Brevitas dockerfile and entrypoint
* Implemented preliminary test for Quant operation
* Reworked comments for Quant operation
* Readability improvements for Quant operation
* Created preliminary Quant op documentation
* Move Quant op documentation
* Made documentation of quant attributes more precise.
* Created skeleton for Trunc QNNX operation
* [DataType] add experimental SCALED(U)INT DataTypes
* [Quant] use new scaled int dtypes for dt inference
* [TypInf] use non-integer instead of float check in dt inference
* [ConstFold] make op exclusion optional
* [Analysis] deal with dyn matmul, add some zero-cost op types
* [Analysis] make inference_cost optionally sparse-weights-aware
* [Util] pass sparsity option to analysis pass, kwargs only for clize
* [Analysis] add more free ops to inference_cost
* [Quant] fallback to float32 for failed dtype inference
* Inference cost: JSON export, parameter for output onnx
* Removed FINN dependency from documentation
* Added support for executing qonnx custom_ops.
* Add support for Bipolar and Binary FINN datatype for Quant op. (#41)
* Add support for Bipolar and Binary FINN datatype for Quant op.
* [Quant] custom qnt execution for bipolar until Brevitas bug resolved
Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
* Added support for cost estimation for upsampling (#37)
* Update AUTHORS.rst
* Create python-publish.yml
* Add ZCU111 board to part map (#32)
* Update AUTHORS.rst
* GHA for PyPI, sdist only (#35)
* finn-base v0.0.2 (#34)
* Modified set_nodeattr to allow using it on repeated fields (#18)
* [base]: changed how the floats, ints, strings, tensors, graphs and sparse_tensors field of AttributeProto is set.
* [Core] restrict attributes to tested types
Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
* Support for non-square input images and kernels for im2col node (#20)
* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node
* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers
* removed unused import
* [base]: added support for writing repeated fields in AttributeProto
* minor style changes
* [im2col, test_im2col]: added support for non-equal padding
* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.
* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests
* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"
This reverts commit 3ff449c42d709e640ca904c41a241bb94fc9e335
* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."
This reverts commit 15e34ed8d07d4a55996f162bd3bd1aa24b33c3ac.
* Revert "[im2col, test_im2col]: added support for non-equal padding"
This reverts commit c524020ee8a7b363eb0c30d70cf21332e9c73678.
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: minor change in style.
* [Im2Col] style fixes and comments
Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
* Update AUTHORS.rst
* Support for non-square input images and kernels in LowerConvsToMatMul transformation (#16)
* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node
* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers
* removed unused import
* [base]: added support for writing repeated fields in AttributeProto
* minor style changes
* [im2col, test_im2col]: added support for non-equal padding
* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.
* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests
* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"
This reverts commit 3ff449c42d709e640ca904c41a241bb94fc9e335
* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."
This reverts commit 15e34ed8d07d4a55996f162bd3bd1aa24b33c3ac.
* Revert "[im2col, test_im2col]: added support for non-equal padding"
This reverts commit c524020ee8a7b363eb0c30d70cf21332e9c73678.
* [im2col] function compute_conv_output_dim can now be called in case non-equal and equal padding is assumed.
[test_im2col] changed function call to compute_conv_output_dim.
[test_conv_lowering] changed function call to compute_conv_output_dim.
[lower_convs_to_matmul] removed old assertion.
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: minor change in style.
* [test_conv_lowering]: minor fix for test case depthwise and regular convolutions
* Support for non-square input images and kernels for im2col node (#20)
* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node
* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers
* removed unused import
* [base]: added support for writing repeated fields in AttributeProto
* minor style changes
* [im2col, test_im2col]: added support for non-equal padding
* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.
* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests
* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"
This reverts commit 3ff449c42d709e640ca904c41a241bb94fc9e335
* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."
This reverts commit 15e34ed8d07d4a55996f162bd3bd1aa24b33c3ac.
* Revert "[im2col, test_im2col]: added support for non-equal padding"
This reverts commit c524020ee8a7b363eb0c30d70cf21332e9c73678.
* [im2col]: changed how a square kernel is instantiated.
[lower_convs_to_matmul]: changed how the kernel size attribute is read (based on how a square kernel is instantiated).
* [im2col]: minor change in style.
* [Im2Col] style fixes and comments
Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
* Update AUTHORS.rst
Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>
* Added support for dilation value = 2 for 1D and 2D images/kernels (#17)
* [im2col.py]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [im2col]: support for non-square input images and kernels, [test_im2col]: added/modified several test cases for (non-)square images and kernels
* [test_general_transformation]: changed kernel_size attribute to list instead of integer as required by im2col node
* [base]: changed how the "ints" field of AttributeProto set.
[test_general_transformation]: changed the type of the kernel_size attribute to list of integers
* removed unused import
* [base]: added support for writing repeated fields in AttributeProto
* minor style changes
* [im2col, test_im2col]: added support for non-equal padding
* [lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding.
[test_conv_lowering]: added/modified test cases for non-equal padding, depthwise convolution and 'standard' convolution.
* [test_conv_lowering]: included 1D depthwise and regular convolutions in tests
* Revert "[test_conv_lowering]: included 1D depthwise and regular convolutions in tests"
This reverts commit 3ff449c42d709e640ca904c41a241bb94fc9e335
* Revert "[lower_convs_to_matmul]: added support for non-square input images and kernels and non-equal padding."
This reverts commit 15e34ed8d07d4a55996f162bd3bd1aa24b33c3ac.
* Revert "[im2col, test_im2col]: added support for non-equal padding"
This reverts commit c524020ee8a7b363eb0c30d70cf21332e9c73678.
* [im2col] added support for dilations = 2 for 2D and 1D images. Dilation value must be equal along each axis.
[test_im2col] added several test cases in case dilations = 2 (a.o. cases where image and kernel are 2D and 1D, with and without padding, and with stride = 2).
[lower_convs_to_matmul] added support for dilation value. Dilation value must be equal along each axis.
[test_conv_lowering] added test case for dilations = 2 for 2D and 1D images and kernels, with and without padding, and with stride = 2.
* [lower_…
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