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【complex op】NO.40 add complex support for inv (cuda only) #57862

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【complex op】NO.40 add complex support for inv (cuda only) #57862

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435fab9
[complex op] add complex support for inv (cuda)
BeingGod Oct 1, 2023
6d40646
Merge commit '7282acffed19c8ce204cc83e04630f5351aeb0e4' into complex_…
BeingGod Oct 1, 2023
b63ad04
Merge commit 'a384baf530dc711d56322e77bcb71aaea87d5666' into complex_…
BeingGod Oct 10, 2023
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6 changes: 6 additions & 0 deletions paddle/fluid/platform/dynload/cublas.h
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Original file line number Diff line number Diff line change
Expand Up @@ -80,8 +80,14 @@ namespace dynload {
__macro(cublasSgetriBatched); \
__macro(cublasDgetrfBatched); \
__macro(cublasDgetriBatched); \
__macro(cublasCgetrfBatched); \
__macro(cublasCgetriBatched); \
__macro(cublasZgetrfBatched); \
__macro(cublasZgetriBatched); \
__macro(cublasSmatinvBatched); \
__macro(cublasDmatinvBatched); \
__macro(cublasCmatinvBatched); \
__macro(cublasZmatinvBatched); \
__macro(cublasSgetrsBatched); \
__macro(cublasDgetrsBatched);

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6 changes: 6 additions & 0 deletions paddle/phi/backends/dynload/cublas.h
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Original file line number Diff line number Diff line change
Expand Up @@ -94,8 +94,14 @@ extern void *cublas_dso_handle;
__macro(cublasSgetriBatched); \
__macro(cublasDgetrfBatched); \
__macro(cublasDgetriBatched); \
__macro(cublasCgetrfBatched); \
__macro(cublasCgetriBatched); \
__macro(cublasZgetrfBatched); \
__macro(cublasZgetriBatched); \
__macro(cublasSmatinvBatched); \
__macro(cublasDmatinvBatched); \
__macro(cublasCmatinvBatched); \
__macro(cublasZmatinvBatched); \
__macro(cublasSgetrsBatched); \
__macro(cublasDgetrsBatched);

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114 changes: 114 additions & 0 deletions paddle/phi/kernels/funcs/blas/blas_impl.cu.h
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Original file line number Diff line number Diff line change
Expand Up @@ -686,6 +686,63 @@ struct CUBlas<phi::dtype::complex<float>> {
ldb,
batch_size));
}

static void MATINV_BATCH(cublasHandle_t handle,
int n,
const phi::dtype::complex<float> **A,
int lda,
phi::dtype::complex<float> **Ainv,
int lda_inv,
int *info,
int batchSize) {
PADDLE_ENFORCE_GPU_SUCCESS(phi::dynload::cublasCmatinvBatched(
handle,
n,
reinterpret_cast<const cuFloatComplex **>(A),
lda,
reinterpret_cast<cuFloatComplex **>(Ainv),
lda_inv,
info,
batchSize));
}

static void GETRF_BATCH(cublasHandle_t handle,
int n,
phi::dtype::complex<float> **A,
int lda,
int *P,
int *info,
int batchSize) {
PADDLE_ENFORCE_GPU_SUCCESS(phi::dynload::cublasCgetrfBatched(
handle,
n,
reinterpret_cast<cuFloatComplex **>(A),
lda,
P,
info,
batchSize));
}

static void GETRI_BATCH(cublasHandle_t handle,
int n,
const phi::dtype::complex<float> **A,
int lda,
const int *P,
phi::dtype::complex<float> **C,
int ldc,
int *info,
int batchSize) {
PADDLE_ENFORCE_GPU_SUCCESS(phi::dynload::cublasCgetriBatched(
handle,
n,
reinterpret_cast<const cuFloatComplex **>(A),
lda,
P,
reinterpret_cast<cuFloatComplex **>(C),
ldc,
info,
batchSize));
}
};

template <>
Expand Down Expand Up @@ -924,6 +981,63 @@ struct CUBlas<phi::dtype::complex<double>> {
"cublasGemmEx is not supported on cuda <= 7.5"));
#endif
}

static void MATINV_BATCH(cublasHandle_t handle,
int n,
const phi::dtype::complex<double> **A,
int lda,
phi::dtype::complex<double> **Ainv,
int lda_inv,
int *info,
int batchSize) {
PADDLE_ENFORCE_GPU_SUCCESS(phi::dynload::cublasZmatinvBatched(
handle,
n,
reinterpret_cast<const cuDoubleComplex **>(A),
lda,
reinterpret_cast<cuDoubleComplex **>(Ainv),
lda_inv,
info,
batchSize));
}

static void GETRF_BATCH(cublasHandle_t handle,
int n,
phi::dtype::complex<double> **A,
int lda,
int *P,
int *info,
int batchSize) {
PADDLE_ENFORCE_GPU_SUCCESS(phi::dynload::cublasZgetrfBatched(
handle,
n,
reinterpret_cast<cuDoubleComplex **>(A),
lda,
P,
info,
batchSize));
}

static void GETRI_BATCH(cublasHandle_t handle,
int n,
const phi::dtype::complex<double> **A,
int lda,
const int *P,
phi::dtype::complex<double> **C,
int ldc,
int *info,
int batchSize) {
PADDLE_ENFORCE_GPU_SUCCESS(phi::dynload::cublasZgetriBatched(
handle,
n,
reinterpret_cast<const cuDoubleComplex **>(A),
lda,
P,
reinterpret_cast<cuDoubleComplex **>(C),
ldc,
info,
batchSize));
}
};

template <>
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2 changes: 2 additions & 0 deletions paddle/phi/kernels/funcs/matrix_inverse.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -28,6 +28,8 @@ void MatrixInverseFunctor<Context, T>::operator()(const Context& dev_ctx,

template class MatrixInverseFunctor<CPUContext, float>;
template class MatrixInverseFunctor<CPUContext, double>;
template class MatrixInverseFunctor<CPUContext, phi::dtype::complex<float>>;
template class MatrixInverseFunctor<CPUContext, phi::dtype::complex<double>>;

} // namespace funcs
} // namespace phi
2 changes: 2 additions & 0 deletions paddle/phi/kernels/funcs/matrix_inverse.cu
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Expand Up @@ -131,6 +131,8 @@ void MatrixInverseFunctor<Context, T>::operator()(const Context& dev_ctx,

template class MatrixInverseFunctor<GPUContext, float>;
template class MatrixInverseFunctor<GPUContext, double>;
template class MatrixInverseFunctor<GPUContext, phi::dtype::complex<float>>;
template class MatrixInverseFunctor<GPUContext, phi::dtype::complex<double>>;

} // namespace funcs
} // namespace phi
10 changes: 8 additions & 2 deletions paddle/phi/kernels/gpu/inverse_grad_kernel.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -18,5 +18,11 @@
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/impl/inverse_grad_kernel_impl.h"

PD_REGISTER_KERNEL(
inverse_grad, GPU, ALL_LAYOUT, phi::InverseGradKernel, float, double) {}
PD_REGISTER_KERNEL(inverse_grad,
GPU,
ALL_LAYOUT,
phi::InverseGradKernel,
float,
double,
phi::dtype::complex<float>,
phi::dtype::complex<double>) {}
10 changes: 8 additions & 2 deletions paddle/phi/kernels/gpu/inverse_kernel.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -18,5 +18,11 @@
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/impl/inverse_kernel_impl.h"

PD_REGISTER_KERNEL(
inverse, GPU, ALL_LAYOUT, phi::InverseKernel, float, double) {}
PD_REGISTER_KERNEL(inverse,
GPU,
ALL_LAYOUT,
phi::InverseKernel,
float,
double,
phi::dtype::complex<float>,
phi::dtype::complex<double>) {}
37 changes: 37 additions & 0 deletions test/legacy_test/test_inverse_op.py
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Expand Up @@ -34,6 +34,11 @@ def setUp(self):

np.random.seed(123)
mat = np.random.random(self.matrix_shape).astype(self.dtype)
if self.dtype == np.complex64 or self.dtype == np.complex128:
mat = (
np.random.random(self.matrix_shape)
+ 1j * np.random.random(self.matrix_shape)
).astype(self.dtype)
inverse = np.linalg.inv(mat)

self.inputs = {'Input': mat}
Expand All @@ -46,6 +51,38 @@ def test_grad(self):
self.check_grad(['Input'], 'Output')


@unittest.skipIf(
not core.is_compiled_with_cuda(), "core is not complied with CUDA"
)
class TestInverseOp_Complex64(TestInverseOp):
def config(self):
self.matrix_shape = [10, 10]
self.dtype = np.complex64
self.python_api = paddle.tensor.math.inverse

def test_check_output(self):
self.check_output_with_place(paddle.CUDAPlace())

def test_grad(self):
self.check_grad_with_place(paddle.CUDAPlace(), ['Input'], 'Output')


@unittest.skipIf(
not core.is_compiled_with_cuda(), "core is not complied with CUDA"
)
class TestInverseOp_Complex128(TestInverseOp):
def config(self):
self.matrix_shape = [10, 10]
self.dtype = np.complex128
self.python_api = paddle.tensor.math.inverse

def test_check_output(self):
self.check_output_with_place(paddle.CUDAPlace())

def test_grad(self):
self.check_grad_with_place(paddle.CUDAPlace(), ['Input'], 'Output')


class TestInverseOpBatched(TestInverseOp):
def config(self):
self.matrix_shape = [8, 4, 4]
Expand Down