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【complex op No.51】tanh_coo/tanh_csr(sparse) #68260

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【complex op No.51】tanh_coo/tanh_csr(sparse) #68260

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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 @@ -62,7 +62,6 @@

PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL(asin, Asin)
PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL(atan, Atan)
PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL(tanh, Tanh)
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)
Expand All @@ -78,6 +77,7 @@ 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)
PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL_WITH_COMPLEX(abs, Abs)
PD_REGISTER_SPARSE_UNARY_CPU_GRAD_KERNEL_WITH_COMPLEX(tanh, Tanh)

PD_REGISTER_KERNEL(cast_coo_grad,
CPU,
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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 @@ -103,7 +103,6 @@ void DivScalarCsrKernel(const Context& dev_ctx,

PD_REGISTER_SPARSE_UNARY_CPU_KERNEL(asin, Asin)
PD_REGISTER_SPARSE_UNARY_CPU_KERNEL(atan, Atan)
PD_REGISTER_SPARSE_UNARY_CPU_KERNEL(tanh, Tanh)
PD_REGISTER_SPARSE_UNARY_CPU_KERNEL(asinh, Asinh)
PD_REGISTER_SPARSE_UNARY_CPU_KERNEL(atanh, Atanh)
PD_REGISTER_SPARSE_UNARY_CPU_KERNEL(sqrt, Sqrt)
Expand All @@ -116,6 +115,7 @@ 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(tanh, Tanh)
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 @@ -66,7 +66,6 @@

PD_REGISTER_SPARSE_UNARY_GPU_GRAD_KERNEL(asin, Asin)
PD_REGISTER_SPARSE_UNARY_GPU_GRAD_KERNEL(atan, Atan)
PD_REGISTER_SPARSE_UNARY_GPU_GRAD_KERNEL(tanh, Tanh)
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)
Expand All @@ -82,6 +81,7 @@ 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)
PD_REGISTER_SPARSE_UNARY_GPU_GRAD_KERNEL_WITH_COMPLEX(tan, Tan)
PD_REGISTER_SPARSE_UNARY_GPU_GRAD_KERNEL_WITH_COMPLEX(tanh, Tanh)

PD_REGISTER_KERNEL(cast_coo_grad,
GPU,
Expand Down
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 @@ -96,7 +96,6 @@ void DivScalarCsrKernel(const Context& dev_ctx,

PD_REGISTER_SPARSE_UNARY_GPU_KERNEL(asin, Asin)
PD_REGISTER_SPARSE_UNARY_GPU_KERNEL(atan, Atan)
PD_REGISTER_SPARSE_UNARY_GPU_KERNEL(tanh, Tanh)
PD_REGISTER_SPARSE_UNARY_GPU_KERNEL(asinh, Asinh)
PD_REGISTER_SPARSE_UNARY_GPU_KERNEL(atanh, Atanh)
PD_REGISTER_SPARSE_UNARY_GPU_KERNEL(sqrt, Sqrt)
Expand All @@ -109,6 +108,7 @@ 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(tanh, Tanh)
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)
Expand Down
2 changes: 1 addition & 1 deletion paddle/phi/kernels/sparse/impl/unary_kernel_impl.h
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Original file line number Diff line number Diff line change
Expand Up @@ -105,7 +105,6 @@ namespace sparse {

DEFINE_SPARSE_UNARY_KERNEL(Asin)
DEFINE_SPARSE_UNARY_KERNEL(Atan)
DEFINE_SPARSE_UNARY_KERNEL(Tanh)
DEFINE_SPARSE_UNARY_KERNEL(Asinh)
DEFINE_SPARSE_UNARY_KERNEL(Atanh)
DEFINE_SPARSE_UNARY_KERNEL(Sqrt)
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(Tanh)

template <typename T, typename Context>
void ScaleCooKernel(const Context& dev_ctx,
Expand Down
2 changes: 1 addition & 1 deletion python/paddle/sparse/unary.py
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Expand Up @@ -451,7 +451,7 @@ def tanh(x: Tensor, name: str | None = None) -> Tensor:
out = tanh(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`.

Expand Down
12 changes: 10 additions & 2 deletions test/legacy_test/test_sparse_unary_op.py
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Expand Up @@ -179,7 +179,11 @@ def test_sparse_atan(self):
self.compare_with_dense(paddle.atan, paddle.sparse.atan)

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

def test_sparse_asinh(self):
self.compare_with_dense(paddle.asinh, paddle.sparse.asinh)
Expand Down Expand Up @@ -421,7 +425,11 @@ def test_sparse_atan(self):
self.compare_with_dense(paddle.atan, paddle.sparse.atan)

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

def test_sparse_asinh(self):
self.compare_with_dense(paddle.asinh, paddle.sparse.asinh)
Expand Down