-
Notifications
You must be signed in to change notification settings - Fork 5.7k
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
1 parent
138c1cb
commit 7a6ccd5
Showing
17 changed files
with
680 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,24 @@ | ||
| // Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved. | ||
| // | ||
| // Licensed under the Apache License, Version 2.0 (the "License"); | ||
| // you may not use this file except in compliance with the License. | ||
| // You may obtain a copy of the License at | ||
| // | ||
| // http://www.apache.org/licenses/LICENSE-2.0 | ||
| // | ||
| // Unless required by applicable law or agreed to in writing, software | ||
| // distributed under the License is distributed on an "AS IS" BASIS, | ||
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| // See the License for the specific language governing permissions and | ||
| // limitations under the License. | ||
|
|
||
| #include "paddle/phi/backends/cpu/cpu_context.h" | ||
| #include "paddle/phi/core/kernel_registry.h" | ||
|
|
||
| #include "paddle/phi/kernels/impl/lu_solve_grad_kernel_impl.h" | ||
| #include "paddle/phi/kernels/lu_solve_grad_kernel.h" | ||
|
|
||
|
|
||
| // Register the CPU backward kernel | ||
| PD_REGISTER_KERNEL( | ||
| lu_solve_grad, CPU, ALL_LAYOUT, phi::LuSolveGradKernel, float, double) {} |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,84 @@ | ||
| // Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved. | ||
| // | ||
| // Licensed under the Apache License, Version 2.0 (the "License"); | ||
| // you may not use this file except in compliance with the License. | ||
| // You may obtain a copy of the License at | ||
| // | ||
| // http://www.apache.org/licenses/LICENSE-2.0 | ||
| // | ||
| // Unless required by applicable law or agreed to in writing, software | ||
| // distributed under the License is distributed on an "AS IS" BASIS, | ||
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| // See the License for the specific language governing permissions and | ||
| // limitations under the License. | ||
|
|
||
| #include "paddle/phi/backends/cpu/cpu_context.h" | ||
| #include "paddle/phi/core/kernel_registry.h" | ||
| #include "paddle/phi/kernels/funcs/lapack/lapack_function.h" | ||
|
|
||
| #include "paddle/phi/core/enforce.h" | ||
| #include "paddle/phi/kernels/impl/lu_kernel_impl.h" | ||
| #include "paddle/phi/kernels/lu_solve_kernel.h" | ||
|
|
||
| namespace phi { | ||
|
|
||
| template <typename T, typename Context> | ||
| void LuSolveKernel(const Context& dev_ctx, | ||
| const DenseTensor& x, | ||
| const DenseTensor& lu, | ||
| const DenseTensor& pivots, | ||
| const std::string& trans, | ||
| DenseTensor* out) { | ||
| // Get lu matrix dimensions | ||
| auto lu_dims = lu.dims(); | ||
| // Get x matrix dimensions | ||
| auto x_dims = x.dims(); | ||
|
|
||
| // Allocate output tensor | ||
| dev_ctx.template Alloc<T>(out); | ||
| // Copy RHS data to output (will be overwritten with solution) | ||
| // phi::Copy(dev_ctx, x, x.place(), false, out); | ||
| *out = Transpose2DTo6D<Context, T>(dev_ctx, x); | ||
|
|
||
| // Prepare LAPACK parameters | ||
| char trans_char = (trans == "N") ? 'N' : ((trans == "T") ? 'T' : 'C'); | ||
| int n_int = lu_dims[lu_dims.size() - 1]; | ||
| int nrhs_int = x_dims[x_dims.size() - 1]; | ||
| int lda = std::max(1, n_int); // Leading dimension of A (LU matrix) | ||
| int ldb = std::max(1, n_int); // Leading dimension of B (RHS/solution matrix) | ||
| int info = 0; | ||
|
|
||
| auto outdims = out->dims(); | ||
| auto outrank = outdims.size(); | ||
| int batchsize = product(common::slice_ddim(outdims, 0, outrank - 2)); | ||
| auto out_data = out->data<T>(); | ||
| auto lu_data = reinterpret_cast<T*>(const_cast<T*>(lu.data<T>())); | ||
| auto pivots_data = reinterpret_cast<int*>(const_cast<int*>(pivots.data<int>())); | ||
|
|
||
| for (int i = 0; i < batchsize; i++) { | ||
| auto* out_data_item = &out_data[i * lda * n_int]; | ||
| auto* lu_data_item = &lu_data[i * ldb * nrhs_int]; | ||
| auto* pivots_data_item = &pivots_data[i * n_int]; | ||
| phi::funcs::lapackLuSolve<T>( | ||
| trans_char, | ||
| n_int, | ||
| nrhs_int, | ||
| lu_data_item, | ||
| lda, | ||
| pivots_data_item, | ||
| out_data_item, | ||
| ldb, | ||
| &info); | ||
| PADDLE_ENFORCE_EQ( | ||
| info, | ||
| 0, | ||
| phi::errors::PreconditionNotMet( | ||
| "LU solve failed with error code %d. Check if matrix is singular.", | ||
| info)); | ||
| } | ||
| *out = Transpose2DTo6D<Context, T>(dev_ctx, *out); | ||
| } | ||
| } // namespace phi | ||
|
|
||
| PD_REGISTER_KERNEL( | ||
| lu_solve, CPU, ALL_LAYOUT, phi::LuSolveKernel, float, double) {} |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,22 @@ | ||
| // Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. | ||
| // | ||
| // Licensed under the Apache License, Version 2.0 (the "License"); | ||
| // you may not use this file except in compliance with the License. | ||
| // You may obtain a copy of the License at | ||
| // | ||
| // http://www.apache.org/licenses/LICENSE-2.0 | ||
| // | ||
| // Unless required by applicable law or agreed to in writing, software | ||
| // distributed under the License is distributed on an "AS IS" BASIS, | ||
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| // See the License for the specific language governing permissions and | ||
| // limitations under the License. | ||
|
|
||
| #include "paddle/phi/backends/gpu/gpu_context.h" | ||
| #include "paddle/phi/core/kernel_registry.h" | ||
|
|
||
| #include "paddle/phi/kernels/impl/lu_solve_grad_kernel_impl.h" | ||
| #include "paddle/phi/kernels/lu_solve_grad_kernel.h" | ||
|
|
||
| PD_REGISTER_KERNEL(lu_solve_grad, GPU, ALL_LAYOUT, phi::LuSolveGradKernel, float, double) { | ||
| } |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,138 @@ | ||
| // Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved. | ||
| // | ||
| // Licensed under the Apache License, Version 2.0 (the "License"); | ||
| // you may not use this file except in compliance with the License. | ||
| // You may obtain a copy of the License at | ||
| // | ||
| // http://www.apache.org/licenses/LICENSE-2.0 | ||
| // | ||
| // Unless required by applicable law or agreed to in writing, software | ||
| // distributed under the License is distributed on an "AS IS" BASIS, | ||
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| // See the License for the specific language governing permissions and | ||
| // limitations under the License. | ||
|
|
||
| #ifndef PADDLE_WITH_HIP | ||
| // HIP not support cusolver | ||
|
|
||
| #include "paddle/phi/backends/dynload/cusolver.h" | ||
| #include "paddle/phi/backends/gpu/gpu_context.h" | ||
| #include "paddle/phi/core/kernel_registry.h" | ||
|
|
||
| #include "paddle/phi/common/memory_utils.h" | ||
| #include "paddle/phi/kernels/lu_solve_kernel.h" | ||
| #include "paddle/phi/kernels/impl/lu_kernel_impl.h" | ||
|
|
||
| namespace phi { | ||
|
|
||
| template <typename T> | ||
| void cusolver_getrs(const cusolverDnHandle_t& cusolverH, | ||
| cublasOperation_t trans, | ||
| int n, | ||
| int nrhs, | ||
| T *a, | ||
| int lda, | ||
| int *ipiv, | ||
| T *b, | ||
| int ldb, | ||
| int *info); | ||
|
|
||
| template <> | ||
| void cusolver_getrs<float>(const cusolverDnHandle_t& cusolverH, | ||
| cublasOperation_t trans, | ||
| int n, | ||
| int nrhs, | ||
| float *a, | ||
| int lda, | ||
| int *ipiv, | ||
| float *b, | ||
| int ldb, | ||
| int *info) { | ||
| PADDLE_ENFORCE_GPU_SUCCESS(dynload::cusolverDnSgetrs( | ||
| cusolverH, trans, n, nrhs, a, lda, ipiv, b, ldb, info)); | ||
| } | ||
|
|
||
| template <> | ||
| void cusolver_getrs<double>(const cusolverDnHandle_t& cusolverH, | ||
| cublasOperation_t trans, | ||
| int n, | ||
| int nrhs, | ||
| double *a, | ||
| int lda, | ||
| int *ipiv, | ||
| double *b, | ||
| int ldb, | ||
| int *info) { | ||
| PADDLE_ENFORCE_GPU_SUCCESS(dynload::cusolverDnDgetrs( | ||
| cusolverH, trans, n, nrhs, a, lda, ipiv, b, ldb, info)); | ||
| } | ||
|
|
||
| template <typename T, typename Context> | ||
| void LuSolveKernel(const Context& dev_ctx, | ||
| const DenseTensor& x, | ||
| const DenseTensor& lu, | ||
| const DenseTensor& pivots, | ||
| const std::string& trans, | ||
| DenseTensor* out) { | ||
| dev_ctx.template Alloc<T>(out); | ||
| // Copy x to out since cusolverDn*getrs overwrites the input | ||
| // phi::Copy(dev_ctx, x, dev_ctx.GetPlace(), false, out); | ||
| *out = phi::Transpose2DTo6D<Context, T>(dev_ctx, x); | ||
| // Validate input dimensions | ||
| auto x_dims = x.dims(); | ||
| auto lu_dims = lu.dims(); | ||
|
|
||
| cublasOperation_t trans_op; | ||
| if (trans == "N") { | ||
| trans_op = CUBLAS_OP_N; | ||
| } else if (trans == "T") { | ||
| trans_op = CUBLAS_OP_T; | ||
| } else if (trans == "C") { | ||
| trans_op = CUBLAS_OP_C; | ||
| } else { | ||
| PADDLE_THROW(phi::errors::InvalidArgument( | ||
| "trans must be one of ['N', 'T', 'C'], but got %s", trans)); | ||
| } | ||
| int n = static_cast<int>(lu_dims[lu_dims.size() - 1]); | ||
| int nrhs = static_cast<int>(x_dims[x_dims.size() - 1]); | ||
| int lda = std::max(1, n); | ||
| int ldb = std::max(1, n); | ||
|
|
||
| DenseTensor info_tensor; | ||
| info_tensor.Resize({1}); | ||
| dev_ctx.template Alloc<int>(&info_tensor); | ||
| int* d_info = info_tensor.data<int>(); | ||
|
|
||
| auto outdims = out->dims(); | ||
| auto outrank = outdims.size(); | ||
| int batchsize = product(common::slice_ddim(outdims, 0, outrank - 2)); | ||
| auto out_data = out->data<T>(); | ||
| auto lu_data = reinterpret_cast<T*>(const_cast<T*>(lu.data<T>())); | ||
| auto pivots_data = reinterpret_cast<int*>(const_cast<int*>(pivots.data<int>())); | ||
| for (int i = 0; i < batchsize; i++) { | ||
| auto handle = dev_ctx.cusolver_dn_handle(); | ||
| auto* out_data_item = &out_data[i * n * n]; | ||
| auto* lu_data_item = &lu_data[i * n * n]; | ||
| auto* pivots_data_item = &pivots_data[i * n]; | ||
| cusolver_getrs<T>(handle, | ||
| trans_op, | ||
| n, | ||
| nrhs, | ||
| lu_data_item, | ||
| lda, | ||
| pivots_data_item, | ||
| out_data_item, | ||
| ldb, | ||
| d_info); | ||
| } | ||
| // Synchronize to ensure the solve is complete | ||
| dev_ctx.Wait(); | ||
| *out = Transpose2DTo6D<Context, T>(dev_ctx, *out); | ||
| } | ||
|
|
||
| } // namespace phi | ||
|
|
||
| PD_REGISTER_KERNEL( | ||
| lu_solve, GPU, ALL_LAYOUT, phi::LuSolveKernel, float, double) {} | ||
|
|
||
| #endif // not PADDLE_WITH_HIP |
Oops, something went wrong.