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【complex op No.42】log1p_coo/log1p_csr(sparse) #68248

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【complex op No.42】log1p_coo/log1p_csr(sparse) #68248

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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 @@ -67,13 +67,13 @@ PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL(asinh, Asinh)
PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL(atanh, Atanh)
PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL(sqrt, Sqrt)
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(log1p, Log1p)
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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Original file line number Diff line number Diff line change
Expand Up @@ -108,14 +108,14 @@ PD_REGISTER_SPARSE_UNARY_CPU_KERNEL(asinh, Asinh)
PD_REGISTER_SPARSE_UNARY_CPU_KERNEL(atanh, Atanh)
PD_REGISTER_SPARSE_UNARY_CPU_KERNEL(sqrt, Sqrt)
PD_REGISTER_SPARSE_UNARY_CPU_KERNEL(square, Square)
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(log1p, Log1p)
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 @@ -71,13 +71,13 @@ PD_REGISTER_SPARSE_UNARY_GPU_GRAD_KERNEL(asinh, Asinh)
PD_REGISTER_SPARSE_UNARY_GPU_GRAD_KERNEL(atanh, Atanh)
PD_REGISTER_SPARSE_UNARY_GPU_GRAD_KERNEL(sqrt, Sqrt)
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(log1p, Log1p)
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 @@ -101,14 +101,14 @@ PD_REGISTER_SPARSE_UNARY_GPU_KERNEL(asinh, Asinh)
PD_REGISTER_SPARSE_UNARY_GPU_KERNEL(atanh, Atanh)
PD_REGISTER_SPARSE_UNARY_GPU_KERNEL(sqrt, Sqrt)
PD_REGISTER_SPARSE_UNARY_GPU_KERNEL(square, Square)
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(log1p, Log1p)
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 @@ -110,7 +110,6 @@ DEFINE_SPARSE_UNARY_KERNEL(Asinh)
DEFINE_SPARSE_UNARY_KERNEL(Atanh)
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)
Expand All @@ -120,6 +119,7 @@ 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(Log1p)

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 @@ -556,7 +556,7 @@ def log1p(x: Tensor, name: str | None = None) -> Tensor:
out = ln(1+x)

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 @@ -194,7 +194,11 @@ def test_sparse_square(self):
self.compare_with_dense(paddle.square, paddle.sparse.square)

def test_sparse_log1p(self):
self.compare_with_dense(paddle.log1p, paddle.sparse.log1p)
self.compare_with_dense(paddle.log1p, paddle.sparse.log1p, 'float16')
self.compare_with_dense(paddle.log1p, paddle.sparse.log1p, 'float32')
self.compare_with_dense(paddle.log1p, paddle.sparse.log1p, 'float64')
self.compare_with_dense(paddle.log1p, paddle.sparse.log1p, 'complex64')
self.compare_with_dense(paddle.log1p, paddle.sparse.log1p, 'complex128')

def test_sparse_relu(self):
self.compare_with_dense(paddle.nn.ReLU(), paddle.sparse.nn.ReLU())
Expand Down Expand Up @@ -436,7 +440,11 @@ def test_sparse_square(self):
self.compare_with_dense(paddle.square, paddle.sparse.square)

def test_sparse_log1p(self):
self.compare_with_dense(paddle.log1p, paddle.sparse.log1p)
self.compare_with_dense(paddle.log1p, paddle.sparse.log1p, 'float16')
self.compare_with_dense(paddle.log1p, paddle.sparse.log1p, 'float32')
self.compare_with_dense(paddle.log1p, paddle.sparse.log1p, 'float64')
self.compare_with_dense(paddle.log1p, paddle.sparse.log1p, 'complex64')
self.compare_with_dense(paddle.log1p, paddle.sparse.log1p, 'complex128')

def test_sparse_relu(self):
self.compare_with_dense(paddle.nn.ReLU(), paddle.sparse.nn.ReLU())
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