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support auto generate for eigvalsh #52687

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merged 5 commits into from
Apr 10, 2023
Merged

support auto generate for eigvalsh #52687

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c61472f
fix
enkilee Apr 8, 2023
9a5495e
fix
enkilee Apr 8, 2023
ab2a341
fix
enkilee Apr 8, 2023
461b600
fix
enkilee Apr 9, 2023
c3cdd1f
fix
enkilee Apr 9, 2023
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113 changes: 0 additions & 113 deletions paddle/fluid/operators/eigvalsh_op.cc
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10 changes: 10 additions & 0 deletions paddle/phi/api/yaml/backward.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -445,6 +445,16 @@
func : eigh_grad
data_type : out_v

- backward_op : eigvalsh_grad
forward : eigvalsh (Tensor x, str uplo = "L", bool is_test = false) -> Tensor(eigenvalues), Tensor(eigenvectors)
args : (Tensor eigenvectors, Tensor eigenvalues_grad, str uplo, bool is_test)
output : Tensor(x_grad)
infer_meta :
func : EigvalshGradInferMeta
kernel :
func : eigvalsh_grad
data_type : eigenvectors

- backward_op : elu_double_grad
forward : elu_grad (Tensor x, Tensor out, Tensor grad_out, float alpha)-> Tensor(grad_x)
args : (Tensor x, Tensor grad_out, Tensor grad_x_grad, float alpha)
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12 changes: 0 additions & 12 deletions paddle/phi/api/yaml/legacy_backward.yaml
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Expand Up @@ -352,18 +352,6 @@
kernel :
func : dropout_grad

- backward_op : eigvalsh_grad
forward : eigvalsh (Tensor x, str uplo, bool is_test) -> Tensor(eigenvalues), Tensor(eigenvectors)
args : (Tensor eigenvectors, Tensor eigenvalues_grad, str uplo, bool is_test)
output : Tensor(x_grad)
infer_meta :
func : EigvalshGradInferMeta
kernel :
func : eigvalsh_grad
data_type : eigenvectors
data_transform :
skip_transform : eigenvalues_grad

- backward_op : einsum_grad
forward : einsum (Tensor[] x, str equation) -> Tensor(out), Tensor[](inner_cache), Tensor[](x_shape)
args : (Tensor[] x_shape, Tensor[] inner_cache, Tensor out_grad, str equation)
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9 changes: 0 additions & 9 deletions paddle/phi/api/yaml/legacy_ops.yaml
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Expand Up @@ -436,15 +436,6 @@
data_type: DataType::FLOAT32
optional : hypslength, refslength

- op : eigvalsh
args : (Tensor x, str uplo, bool is_test)
output : Tensor(eigenvalues), Tensor(eigenvectors)
infer_meta :
func : EigvalshInferMeta
kernel :
func : eigvalsh
backward : eigvalsh_grad

- op : einsum
args : (Tensor[] x, str equation)
output : Tensor, Tensor[]{x.size()}, Tensor[]{x.size()}
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9 changes: 9 additions & 0 deletions paddle/phi/api/yaml/op_compat.yaml
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Expand Up @@ -606,6 +606,15 @@
outputs :
out : Out

- op : eigvalsh
backward : eigvalsh_grad
inputs :
{x : X}
outputs :
{eigenvalues : Eigenvalues, eigenvectors : Eigenvectors}
attrs :
uplo : UPLO

- op : elementwise_pow
backward : elementwise_pow_grad
extra :
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10 changes: 10 additions & 0 deletions paddle/phi/api/yaml/ops.yaml
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Expand Up @@ -474,6 +474,16 @@
kernel :
func : eigvals

- op : eigvalsh
args : (Tensor x, str uplo = "L", bool is_test = false)
output : Tensor(eigenvalues), Tensor(eigenvectors)
infer_meta :
func : EigvalshInferMeta
kernel :
func : eigvalsh
data_type : x
backward : eigvalsh_grad

- op : elu
args : (Tensor x, float alpha = 1.0f)
output : Tensor(out)
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4 changes: 3 additions & 1 deletion paddle/phi/kernels/cpu/eigvalsh_grad_kernel.cc
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Expand Up @@ -26,4 +26,6 @@ PD_REGISTER_KERNEL(eigvalsh_grad,
float,
double,
phi::dtype::complex<float>,
phi::dtype::complex<double>) {}
phi::dtype::complex<double>) {
kernel->InputAt(1).SetDataType(phi::dtype::ToReal(kernel_key.dtype()));
}
4 changes: 3 additions & 1 deletion paddle/phi/kernels/gpu/eigvalsh_grad_kernel.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -26,4 +26,6 @@ PD_REGISTER_KERNEL(eigvalsh_grad,
float,
double,
phi::dtype::complex<float>,
phi::dtype::complex<double>) {}
phi::dtype::complex<double>) {
kernel->InputAt(1).SetDataType(phi::dtype::ToReal(kernel_key.dtype()));
}
4 changes: 3 additions & 1 deletion paddle/phi/kernels/gpu/eigvalsh_kernel.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -26,4 +26,6 @@ PD_REGISTER_KERNEL(eigvalsh, // cuda_only
float,
double,
phi::dtype::complex<float>,
phi::dtype::complex<double>) {}
phi::dtype::complex<double>) {
kernel->InputAt(1).SetDataType(phi::dtype::ToReal(kernel_key.dtype()));
}
34 changes: 0 additions & 34 deletions paddle/phi/ops/compat/eigvalsh_sig.cc
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