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[cherry-pick 2.4] add sparse api transpose/reshape/is_same_shape (#47076
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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/unary_grad_kernel.h" | ||
#include "paddle/phi/kernels/sparse/unary_kernel.h" | ||
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#include "paddle/phi/backends/cpu/cpu_context.h" | ||
#include "paddle/phi/core/kernel_registry.h" | ||
#include "paddle/phi/kernels/sparse/empty_kernel.h" | ||
#include "paddle/phi/kernels/sparse/impl/unary_grad_kernel_impl.h" | ||
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namespace phi { | ||
namespace sparse { | ||
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template <typename T, typename Context> | ||
void ReshapeCooGradKernel(const Context& dev_ctx, | ||
const SparseCooTensor& x, | ||
const SparseCooTensor& dout, | ||
SparseCooTensor* dx) { | ||
EmptyLikeCooKernel<T, Context>(dev_ctx, x, dx); | ||
phi::IntArray x_shape(phi::vectorize(x.dims())); | ||
ReshapeCooKernel<T, Context>(dev_ctx, dout, x_shape, dx); | ||
} | ||
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template <typename T, typename Context> | ||
void ReshapeCsrGradKernel(const Context& dev_ctx, | ||
const SparseCsrTensor& x, | ||
const SparseCsrTensor& dout, | ||
SparseCsrTensor* dx) { | ||
EmptyLikeCsrKernel<T, Context>(dev_ctx, x, dx); | ||
phi::IntArray x_shape(phi::vectorize(x.dims())); | ||
ReshapeCsrKernel<T, Context>(dev_ctx, dout, x_shape, dx); | ||
} | ||
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} // namespace sparse | ||
} // namespace phi | ||
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PD_REGISTER_KERNEL(reshape_coo_grad, | ||
CPU, | ||
ALL_LAYOUT, | ||
phi::sparse::ReshapeCooGradKernel, | ||
float, | ||
double, | ||
int8_t, | ||
uint8_t, | ||
int16_t, | ||
int, | ||
int64_t, | ||
bool) {} | ||
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PD_REGISTER_KERNEL(reshape_csr_grad, | ||
CPU, | ||
ALL_LAYOUT, | ||
phi::sparse::ReshapeCsrGradKernel, | ||
float, | ||
double, | ||
int8_t, | ||
uint8_t, | ||
int16_t, | ||
int, | ||
int64_t, | ||
bool) {} |
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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/unary_kernel.h" | ||
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#include "paddle/phi/core/ddim.h" | ||
#include "paddle/phi/kernels/sparse/sparse_utils_kernel.h" | ||
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#include "paddle/phi/backends/cpu/cpu_context.h" | ||
#include "paddle/phi/core/kernel_registry.h" | ||
#include "paddle/phi/kernels/funcs/eigen/common.h" | ||
#include "paddle/phi/kernels/funcs/eigen/eigen_function.h" | ||
#include "paddle/phi/kernels/sparse/empty_kernel.h" | ||
#include "paddle/phi/kernels/sparse/impl/unary_grad_kernel_impl.h" | ||
#include "paddle/phi/kernels/sparse/impl/unary_kernel_impl.h" | ||
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namespace phi { | ||
namespace sparse { | ||
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template <typename T, typename Context> | ||
void ReshapeCooKernel(const Context& dev_ctx, | ||
const SparseCooTensor& x, | ||
const phi::IntArray& shape, | ||
SparseCooTensor* out) { | ||
// TODO(OccupyMars2025): Currently, reshape is only applicable to sparse dims | ||
int64_t x_nnz = x.nnz(); | ||
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// Use DDim::reshape to handle -1 and 0 in the argument "shape" | ||
std::vector<int> new_shape(shape.GetData().begin(), shape.GetData().end()); | ||
phi::DDim out_dims = x.dims().reshape(new_shape); | ||
// get sparse part dimensions of x and out | ||
std::vector<int64_t> x_sparse_part_dims; | ||
std::vector<int64_t> out_sparse_part_dims; | ||
for (int i = 0; i < x.sparse_dim(); ++i) { | ||
x_sparse_part_dims.push_back(x.dims()[i]); | ||
} | ||
for (int i = 0; i < out_dims.size() - x.dense_dim(); ++i) { | ||
out_sparse_part_dims.push_back(out_dims[i]); | ||
} | ||
DenseTensor out_indices = Empty<int64_t, Context>( | ||
dev_ctx, {static_cast<int64_t>(out_sparse_part_dims.size()), x_nnz}); | ||
DenseTensor out_values(x.values()); | ||
out->SetMember(out_indices, out_values, out_dims, x.coalesced()); | ||
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// compute values of indices | ||
const DenseTensor& x_indices = x.indices(); | ||
const auto* x_indices_data = x_indices.data<int64_t>(); | ||
auto* out_indices_data = out_indices.data<int64_t>(); | ||
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const phi::DDim& x_sparse_part_strides = | ||
phi::stride(phi::make_ddim(x_sparse_part_dims)); | ||
const phi::DDim& out_sparse_part_strides = | ||
phi::stride(phi::make_ddim(out_sparse_part_dims)); | ||
int64_t location = 0; | ||
for (int64_t j = 0; j < x_nnz; ++j) { | ||
location = 0; | ||
for (int i = 0; i < x.sparse_dim(); ++i) { | ||
location += x_indices_data[i * x_nnz + j] * x_sparse_part_strides[i]; | ||
} | ||
for (size_t i = 0; i < out_sparse_part_dims.size(); ++i) { | ||
out_indices_data[i * x_nnz + j] = location / out_sparse_part_strides[i]; | ||
location %= out_sparse_part_strides[i]; | ||
} | ||
} | ||
} | ||
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template <typename T, typename Context> | ||
void ReshapeCsrKernel(const Context& dev_ctx, | ||
const SparseCsrTensor& x, | ||
const phi::IntArray& shape, | ||
SparseCsrTensor* out) { | ||
// transform csr format to coo format, and then use coo kernel | ||
const SparseCooTensor x_coo = CsrToCoo<T, Context>(dev_ctx, x); | ||
SparseCooTensor out_coo; | ||
ReshapeCooKernel<T, Context>(dev_ctx, x_coo, shape, &out_coo); | ||
CooToCsrKernel<T, Context>(dev_ctx, out_coo, out); | ||
} | ||
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} // namespace sparse | ||
} // namespace phi | ||
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PD_REGISTER_KERNEL(reshape_coo, | ||
CPU, | ||
ALL_LAYOUT, | ||
phi::sparse::ReshapeCooKernel, | ||
float, | ||
double, | ||
int8_t, | ||
uint8_t, | ||
int16_t, | ||
int, | ||
int64_t, | ||
bool) {} | ||
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PD_REGISTER_KERNEL(reshape_csr, | ||
CPU, | ||
ALL_LAYOUT, | ||
phi::sparse::ReshapeCsrKernel, | ||
float, | ||
double, | ||
int8_t, | ||
uint8_t, | ||
int16_t, | ||
int, | ||
int64_t, | ||
bool) {} |
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