load_weights

[saras022]

The weight folder is missing. The jupyter notebook try to load the weight from a file called g_epoch_049.hdf5 which cannot be found anywhere in the repo. Also most of the PDSF urls are broken.

[bnachman]

Hi @saras022,

The PDSF links are for running on the Berkeley computing system, but that should not be necessary - we have provided the samples via Zenodo. You will have to train the NN to generate weights files.

[saras022]

I tried that but I get these errors below and I don't know why. Does it not work if I run it on conda or docker type environment?

File "/home/saras022/anaconda2/envs/PythonCharmer/lib/python3.7/site-packages/tensorflow/python/framework/op_def_library.py", line 527, in _apply_op_helper
preferred_dtype=default_dtype)
File "/home/saras022/anaconda2/envs/PythonCharmer/lib/python3.7/site-packages/tensorflow/python/framework/ops.py", line 1224, in internal_convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/home/saras022/anaconda2/envs/PythonCharmer/lib/python3.7/site-packages/tensorflow/python/framework/constant_op.py", line 305, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "/home/saras022/anaconda2/envs/PythonCharmer/lib/python3.7/site-packages/tensorflow/python/framework/constant_op.py", line 246, in constant
allow_broadcast=True)
File "/home/saras022/anaconda2/envs/PythonCharmer/lib/python3.7/site-packages/tensorflow/python/framework/constant_op.py", line 284, in _constant_impl
allow_broadcast=allow_broadcast))
File "/home/saras022/anaconda2/envs/PythonCharmer/lib/python3.7/site-packages/tensorflow/python/framework/tensor_util.py", line 475, in make_tensor_proto
_GetDenseDimensions(values)))
ValueError: Argument must be a dense tensor: range(1, 4) - got shape [3], but wanted [].

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/home/saras022/anaconda2/envs/PythonCharmer/lib/python3.7/site-packages/tensorflow/python/framework/op_def_library.py", line 541, in _apply_op_helper
values, as_ref=input_arg.is_ref).dtype.name
File "/home/saras022/anaconda2/envs/PythonCharmer/lib/python3.7/site-packages/tensorflow/python/framework/ops.py", line 1224, in internal_convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/home/saras022/anaconda2/envs/PythonCharmer/lib/python3.7/site-packages/tensorflow/python/framework/constant_op.py", line 305, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "/home/saras022/anaconda2/envs/PythonCharmer/lib/python3.7/site-packages/tensorflow/python/framework/constant_op.py", line 246, in constant
allow_broadcast=True)
File "/home/saras022/anaconda2/envs/PythonCharmer/lib/python3.7/site-packages/tensorflow/python/framework/constant_op.py", line 284, in _constant_impl
allow_broadcast=allow_broadcast))
File "/home/saras022/anaconda2/envs/PythonCharmer/lib/python3.7/site-packages/tensorflow/python/framework/tensor_util.py", line 475, in make_tensor_proto
_GetDenseDimensions(values)))
ValueError: Argument must be a dense tensor: range(1, 4) - got shape [3], but wanted [].

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/home/saras022/anaconda2/envs/PythonCharmer/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"main", mod_spec)
File "/home/saras022/anaconda2/envs/PythonCharmer/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/saras022/CaloGAN-master/models/train.py", line 233, in
sparsity_mbd=True
File "/home/saras022/CaloGAN-master/models/architectures.py", line 111, in build_discriminator
empirical_sparsity = sparsity_detector(image)
File "/home/saras022/anaconda2/envs/PythonCharmer/lib/python3.7/site-packages/keras/engine/base_layer.py", line 457, in call
output = self.call(inputs, **kwargs)
File "/home/saras022/anaconda2/envs/PythonCharmer/lib/python3.7/site-packages/keras/layers/core.py", line 687, in call
return self.function(inputs, **arguments)
File "/home/saras022/CaloGAN-master/models/ops.py", line 105, in sparsity_level
K.cast(x > 0.0, K.floatx()), axis=range(1, len(_shape))
File "/home/saras022/anaconda2/envs/PythonCharmer/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py", line 1288, in sum
return tf.reduce_sum(x, axis, keepdims)
File "/home/saras022/anaconda2/envs/PythonCharmer/lib/python3.7/site-packages/tensorflow/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "/home/saras022/anaconda2/envs/PythonCharmer/lib/python3.7/site-packages/tensorflow/python/ops/math_ops.py", line 1410, in reduce_sum_v1
return reduce_sum(input_tensor, axis, keepdims, name)
File "/home/saras022/anaconda2/envs/PythonCharmer/lib/python3.7/site-packages/tensorflow/python/util/dispatch.py", line 180, in wrapper
return target(*args, **kwargs)
File "/home/saras022/anaconda2/envs/PythonCharmer/lib/python3.7/site-packages/tensorflow/python/ops/math_ops.py", line 1458, in reduce_sum
name=name))
File "/home/saras022/anaconda2/envs/PythonCharmer/lib/python3.7/site-packages/tensorflow/python/ops/gen_math_ops.py", line 10935, in _sum
name=name)
File "/home/saras022/anaconda2/envs/PythonCharmer/lib/python3.7/site-packages/tensorflow/python/framework/op_def_library.py", line 545, in _apply_op_helper
(input_name, err))
ValueError: Tried to convert 'reduction_indices' to a tensor and failed. Error: Argument must be a dense tensor: range(1, 4) - got shape [3], but wanted [].