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[Sparse] Add sparse addmm kernel (dense+coo*dense->dense,dense+csr*de…
…nse->dense) (PaddlePaddle#44451)
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/* 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. */ | ||
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#pragma once | ||
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#include "paddle/phi/core/dense_tensor.h" | ||
#include "paddle/phi/core/sparse_coo_tensor.h" | ||
#include "paddle/phi/core/sparse_csr_tensor.h" | ||
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namespace phi { | ||
namespace sparse { | ||
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// TODO(zhouwei25): implement Backward of " COO + COO @ COO -> COO" | ||
template <typename T, typename Context> | ||
void AddmmCooCooGradKernel(const Context& dev_ctx, | ||
const SparseCooTensor& input, | ||
const SparseCooTensor& x, | ||
const SparseCooTensor& y, | ||
const SparseCooTensor& dout, | ||
float alpha, | ||
float beta, | ||
SparseCooTensor* dinput, | ||
SparseCooTensor* dx, | ||
SparseCooTensor* dy); | ||
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// Backward of "DENSE + COO @ DENSE -> DENSE" | ||
template <typename T, typename Context> | ||
void AddmmCooDenseGradKernel(const Context& dev_ctx, | ||
const DenseTensor& input, | ||
const SparseCooTensor& x, | ||
const DenseTensor& y, | ||
const DenseTensor& dout, | ||
float alpha, | ||
float beta, | ||
DenseTensor* dinput, | ||
SparseCooTensor* dx, | ||
DenseTensor* dy); | ||
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// TODO(zhouwei25): implement Backward of " CSR + CSR @ CSR -> CSR" | ||
template <typename T, typename Context> | ||
void AddmmCsrCsrGradKernel(const Context& dev_ctx, | ||
const SparseCsrTensor& input, | ||
const SparseCsrTensor& x, | ||
const SparseCsrTensor& y, | ||
const SparseCsrTensor& dout, | ||
float alpha, | ||
float beta, | ||
SparseCsrTensor* dinput, | ||
SparseCsrTensor* dx, | ||
SparseCsrTensor* dy); | ||
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/* Backward of "DENSE + CSR @ DENSE -> DENSE" */ | ||
template <typename T, typename Context> | ||
void AddmmCsrDenseGradKernel(const Context& dev_ctx, | ||
const DenseTensor& input, | ||
const SparseCsrTensor& x, | ||
const DenseTensor& y, | ||
const DenseTensor& dout, | ||
float alpha, | ||
float beta, | ||
DenseTensor* dinput, | ||
SparseCsrTensor* dx, | ||
DenseTensor* dy); | ||
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} // namespace sparse | ||
} // namespace phi |
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/* 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. */ | ||
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#pragma once | ||
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#include "paddle/phi/core/dense_tensor.h" | ||
#include "paddle/phi/core/sparse_coo_tensor.h" | ||
#include "paddle/phi/core/sparse_csr_tensor.h" | ||
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namespace phi { | ||
namespace sparse { | ||
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// TODO(zhouwei25): implement " COO + COO @ COO -> COO" | ||
template <typename T, typename Context> | ||
void AddmmCooCooKernel(const Context& dev_ctx, | ||
const SparseCooTensor& input, | ||
const SparseCooTensor& x, | ||
const SparseCooTensor& y, | ||
float alpha, | ||
float beta, | ||
SparseCooTensor* out); | ||
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/* DENSE + COO @ DENSE -> DENSE */ | ||
template <typename T, typename Context> | ||
void AddmmCooDenseKernel(const Context& dev_ctx, | ||
const DenseTensor& input, | ||
const SparseCooTensor& x, | ||
const DenseTensor& y, | ||
float alpha, | ||
float beta, | ||
DenseTensor* out); | ||
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// TODO(zhouwei25): implement " CSR + CSR @ CSR -> CSR" | ||
template <typename T, typename Context> | ||
void AddmmCsrCsrKernel(const Context& dev_ctx, | ||
const SparseCsrTensor& input, | ||
const SparseCsrTensor& x, | ||
const SparseCsrTensor& y, | ||
float alpha, | ||
float beta, | ||
SparseCsrTensor* out); | ||
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/* DENSE + CSR @ DENSE -> DENSE */ | ||
template <typename T, typename Context> | ||
void AddmmCsrDenseKernel(const Context& dev_ctx, | ||
const DenseTensor& input, | ||
const SparseCsrTensor& x, | ||
const DenseTensor& y, | ||
float alpha, | ||
float beta, | ||
DenseTensor* out); | ||
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} // namespace sparse | ||
} // namespace phi |
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/* 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. */ | ||
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#include "paddle/phi/kernels/sparse/addmm_grad_kernel.h" | ||
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#include "paddle/phi/backends/cpu/cpu_context.h" | ||
#include "paddle/phi/core/kernel_registry.h" | ||
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namespace phi { | ||
namespace sparse { | ||
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template <typename T, typename Context> | ||
void AddmmCooDenseGradKernel(const Context& dev_ctx, | ||
const DenseTensor& input, | ||
const SparseCooTensor& x, | ||
const DenseTensor& y, | ||
const DenseTensor& dout, | ||
float alpha, | ||
float beta, | ||
DenseTensor* dinput, | ||
SparseCooTensor* dx, | ||
DenseTensor* dy) { | ||
PADDLE_THROW(phi::errors::Unimplemented( | ||
"Not support CPU backward kernel of 'sparse.addmm' now.")); | ||
} | ||
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template <typename T, typename Context> | ||
void AddmmCsrDenseGradKernel(const Context& dev_ctx, | ||
const DenseTensor& input, | ||
const SparseCsrTensor& x, | ||
const DenseTensor& y, | ||
const DenseTensor& dout, | ||
float alpha, | ||
float beta, | ||
DenseTensor* dinput, | ||
SparseCsrTensor* dx, | ||
DenseTensor* dy) { | ||
PADDLE_THROW(phi::errors::Unimplemented( | ||
"Not support CPU backward kernel of 'sparse.addmm' now.")); | ||
} | ||
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} // namespace sparse | ||
} // namespace phi | ||
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PD_REGISTER_KERNEL(addmm_coo_dense_grad, | ||
CPU, | ||
ALL_LAYOUT, | ||
phi::sparse::AddmmCooDenseGradKernel, | ||
float, | ||
double) { | ||
kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_COO); | ||
} | ||
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PD_REGISTER_KERNEL(addmm_csr_dense_grad, | ||
CPU, | ||
ALL_LAYOUT, | ||
phi::sparse::AddmmCsrDenseGradKernel, | ||
float, | ||
double) { | ||
kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_CSR); | ||
} |
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@@ -0,0 +1,67 @@ | ||
/* 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. */ | ||
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#include "paddle/phi/kernels/sparse/addmm_kernel.h" | ||
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#include "paddle/phi/backends/cpu/cpu_context.h" | ||
#include "paddle/phi/core/kernel_registry.h" | ||
namespace phi { | ||
namespace sparse { | ||
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/* DENSE + COO @ DENSE -> DENSE */ | ||
template <typename T, typename Context> | ||
void AddmmCooDenseKernel(const Context& dev_ctx, | ||
const DenseTensor& input, | ||
const SparseCooTensor& x, | ||
const DenseTensor& y, | ||
float alpha, | ||
float beta, | ||
DenseTensor* out) { | ||
PADDLE_THROW(phi::errors::Unimplemented( | ||
"Not support CPU kernel of 'sparse.addmm' now.")); | ||
} | ||
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/* DENSE + CSR @ DENSE -> DENSE */ | ||
template <typename T, typename Context> | ||
void AddmmCsrDenseKernel(const Context& dev_ctx, | ||
const DenseTensor& input, | ||
const SparseCsrTensor& x, | ||
const DenseTensor& y, | ||
float alpha, | ||
float beta, | ||
DenseTensor* out) { | ||
PADDLE_THROW(phi::errors::Unimplemented( | ||
"Not support CPU kernel of 'sparse.addmm' now.")); | ||
} | ||
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} // namespace sparse | ||
} // namespace phi | ||
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PD_REGISTER_KERNEL(addmm_coo_dense, | ||
CPU, | ||
ALL_LAYOUT, | ||
phi::sparse::AddmmCooDenseKernel, | ||
float, | ||
double) { | ||
kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_COO); | ||
} | ||
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PD_REGISTER_KERNEL(addmm_csr_dense, | ||
CPU, | ||
ALL_LAYOUT, | ||
phi::sparse::AddmmCsrDenseKernel, | ||
float, | ||
double) { | ||
kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_CSR); | ||
} |
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