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【complex op No.41】expm1_coo/expm1_csr(sparse) #68262

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【complex op No.41】expm1_coo/expm1_csr(sparse) #68262

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2 changes: 1 addition & 1 deletion paddle/phi/kernels/sparse/cpu/unary_grad_kernel.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -70,10 +70,10 @@ PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL(square, Square)
PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL(log1p, Log1p)
PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL(relu, Relu)
PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL(pow, Pow)
PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL(expm1, Expm1)
PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL(relu6, Relu6)
PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL(leaky_relu, LeakyRelu)

PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL_WITH_COMPLEX(expm1, Expm1)
PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL_WITH_COMPLEX(sinh, Sinh)
PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL_WITH_COMPLEX(tan, Tan)
PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL_WITH_COMPLEX(sin, Sin)
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2 changes: 1 addition & 1 deletion paddle/phi/kernels/sparse/cpu/unary_kernel.cc
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Expand Up @@ -112,10 +112,10 @@ PD_REGISTER_SPARSE_UNARY_CPU_KERNEL(log1p, Log1p)
PD_REGISTER_SPARSE_UNARY_CPU_KERNEL(relu, Relu)
PD_REGISTER_SPARSE_UNARY_CPU_KERNEL(pow, Pow)
PD_REGISTER_SPARSE_UNARY_CPU_KERNEL(scale, Scale)
PD_REGISTER_SPARSE_UNARY_CPU_KERNEL(expm1, Expm1)
PD_REGISTER_SPARSE_UNARY_CPU_KERNEL(relu6, Relu6)
PD_REGISTER_SPARSE_UNARY_CPU_KERNEL(leaky_relu, LeakyRelu)

PD_REGISTER_SPARSE_UNARY_CPU_KERNEL_WITH_COMPLEX(expm1, Expm1)
PD_REGISTER_SPARSE_UNARY_CPU_KERNEL_WITH_COMPLEX(sinh, Sinh)
PD_REGISTER_SPARSE_UNARY_CPU_KERNEL_WITH_COMPLEX(tan, Tan)
PD_REGISTER_SPARSE_UNARY_CPU_KERNEL_WITH_COMPLEX(sin, Sin)
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2 changes: 1 addition & 1 deletion paddle/phi/kernels/sparse/gpu/unary_grad_kernel.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -74,10 +74,10 @@ PD_REGISTER_SPARSE_UNARY_GPU_GRAD_KERNEL(square, Square)
PD_REGISTER_SPARSE_UNARY_GPU_GRAD_KERNEL(log1p, Log1p)
PD_REGISTER_SPARSE_UNARY_GPU_GRAD_KERNEL(relu, Relu)
PD_REGISTER_SPARSE_UNARY_GPU_GRAD_KERNEL(pow, Pow)
PD_REGISTER_SPARSE_UNARY_GPU_GRAD_KERNEL(expm1, Expm1)
PD_REGISTER_SPARSE_UNARY_GPU_GRAD_KERNEL(relu6, Relu6)
PD_REGISTER_SPARSE_UNARY_GPU_GRAD_KERNEL(leaky_relu, LeakyRelu)

PD_REGISTER_SPARSE_UNARY_GPU_GRAD_KERNEL_WITH_COMPLEX(expm1, Expm1)
PD_REGISTER_SPARSE_UNARY_GPU_GRAD_KERNEL_WITH_COMPLEX(sinh, Sinh)
PD_REGISTER_SPARSE_UNARY_GPU_GRAD_KERNEL_WITH_COMPLEX(sin, Sin)
PD_REGISTER_SPARSE_UNARY_GPU_GRAD_KERNEL_WITH_COMPLEX(abs, Abs)
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2 changes: 1 addition & 1 deletion paddle/phi/kernels/sparse/gpu/unary_kernel.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -105,10 +105,10 @@ PD_REGISTER_SPARSE_UNARY_GPU_KERNEL(log1p, Log1p)
PD_REGISTER_SPARSE_UNARY_GPU_KERNEL(relu, Relu)
PD_REGISTER_SPARSE_UNARY_GPU_KERNEL(pow, Pow)
PD_REGISTER_SPARSE_UNARY_GPU_KERNEL(scale, Scale)
PD_REGISTER_SPARSE_UNARY_GPU_KERNEL(expm1, Expm1)
PD_REGISTER_SPARSE_UNARY_GPU_KERNEL(relu6, Relu6)
PD_REGISTER_SPARSE_UNARY_GPU_KERNEL(leaky_relu, LeakyRelu)

PD_REGISTER_SPARSE_UNARY_GPU_KERNEL_WITH_COMPLEX(expm1, Expm1)
PD_REGISTER_SPARSE_UNARY_GPU_KERNEL_WITH_COMPLEX(sinh, Sinh)
PD_REGISTER_SPARSE_UNARY_GPU_KERNEL_WITH_COMPLEX(tan, Tan)
PD_REGISTER_SPARSE_UNARY_GPU_KERNEL_WITH_COMPLEX(sin, Sin)
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2 changes: 1 addition & 1 deletion paddle/phi/kernels/sparse/impl/unary_kernel_impl.h
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Expand Up @@ -112,14 +112,14 @@ DEFINE_SPARSE_UNARY_KERNEL(Sqrt)
DEFINE_SPARSE_UNARY_KERNEL(Square)
DEFINE_SPARSE_UNARY_KERNEL(Log1p)
DEFINE_SPARSE_UNARY_KERNEL(Relu)
DEFINE_SPARSE_UNARY_KERNEL(Expm1)
DEFINE_SPARSE_UNARY_KERNEL(Relu6)
DEFINE_SPARSE_UNARY_KERNEL_WITH_ONE_ATTR(Pow, factor)
DEFINE_SPARSE_UNARY_KERNEL_WITH_ONE_ATTR(LeakyRelu, alpha)
DEFINE_SPARSE_UNARY_KERNEL_WITH_COMPLEX(Abs)
DEFINE_SPARSE_UNARY_KERNEL_WITH_COMPLEX(Sin)
DEFINE_SPARSE_UNARY_KERNEL_WITH_COMPLEX(Tan)
DEFINE_SPARSE_UNARY_KERNEL_WITH_COMPLEX(Sinh)
DEFINE_SPARSE_UNARY_KERNEL_WITH_COMPLEX(Expm1)

template <typename T, typename Context>
void ScaleCooKernel(const Context& dev_ctx,
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2 changes: 1 addition & 1 deletion python/paddle/sparse/unary.py
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Expand Up @@ -853,7 +853,7 @@ def expm1(x: Tensor, name: str | None = None) -> Tensor:
out = exp(x) - 1

Parameters:
x (Tensor): The input Sparse Tensor with data type float32, float64.
x (Tensor): The input Sparse Tensor with data type float32, float64, complex64, complex128.
name (str|None, optional): Name for the operation (optional, default is None).
For more information, please refer to :ref:`api_guide_Name`.

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12 changes: 10 additions & 2 deletions test/legacy_test/test_sparse_unary_op.py
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Expand Up @@ -215,7 +215,11 @@ def test_sparse_sinh(self):
self.compare_with_dense(paddle.sinh, paddle.sparse.sinh, 'complex128')

def test_sparse_expm1(self):
self.compare_with_dense(paddle.expm1, paddle.sparse.expm1)
self.compare_with_dense(paddle.expm1, paddle.sparse.expm1, 'float16')
self.compare_with_dense(paddle.expm1, paddle.sparse.expm1, 'float32')
self.compare_with_dense(paddle.expm1, paddle.sparse.expm1, 'float64')
self.compare_with_dense(paddle.expm1, paddle.sparse.expm1, 'complex64')
self.compare_with_dense(paddle.expm1, paddle.sparse.expm1, 'complex128')

def test_sparse_deg2rad(self):
self.compare_with_dense(paddle.deg2rad, paddle.sparse.deg2rad)
Expand Down Expand Up @@ -457,7 +461,11 @@ def test_sparse_sinh(self):
self.compare_with_dense(paddle.sinh, paddle.sparse.sinh, 'complex128')

def test_sparse_expm1(self):
self.compare_with_dense(paddle.expm1, paddle.sparse.expm1)
self.compare_with_dense(paddle.expm1, paddle.sparse.expm1, 'float16')
self.compare_with_dense(paddle.expm1, paddle.sparse.expm1, 'float32')
self.compare_with_dense(paddle.expm1, paddle.sparse.expm1, 'float64')
self.compare_with_dense(paddle.expm1, paddle.sparse.expm1, 'complex64')
self.compare_with_dense(paddle.expm1, paddle.sparse.expm1, 'complex128')

def test_sparse_deg2rad(self):
self.compare_with_dense(paddle.deg2rad, paddle.sparse.deg2rad)
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