wehub-resource-sync
116 lines
3.8 KiB
C++
116 lines
3.8 KiB
C++
/* Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include "paddle/phi/kernels/sparse/full_kernel.h"
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#include "paddle/phi/backends/cpu/cpu_context.h"
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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/core/tensor_utils.h"
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#include "paddle/phi/kernels/funcs/eigen/common.h"
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#include "paddle/phi/kernels/funcs/eigen/eigen_function.h"
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namespace phi {
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template <typename T, typename Context>
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void FullValue(const Context& dev_ctx, DenseTensor* tensor, T val) {
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dev_ctx.template Alloc<T>(tensor);
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auto t = EigenVector<T>::Flatten(*tensor);
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t.device(*dev_ctx.eigen_device()) = t.constant(val);
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}
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template <typename T, typename Context>
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void FullLikeCooKernel(const Context& dev_ctx,
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const SparseCooTensor& x,
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const Scalar& val,
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DataType dtype UNUSED,
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SparseCooTensor* out) {
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phi::Copy<Context>(dev_ctx,
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x.non_zero_indices(),
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dev_ctx.GetPlace(),
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false,
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out->mutable_non_zero_indices());
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DenseTensor* values = out->mutable_non_zero_elements();
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values->Resize(x.non_zero_elements().dims());
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dev_ctx.template Alloc<T>(values);
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FullValue<T, Context>(dev_ctx, values, val.to<T>());
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out->set_dims(x.dims());
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}
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template <typename T, typename Context>
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void FullLikeCsrKernel(const Context& dev_ctx,
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const SparseCsrTensor& x,
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const Scalar& val,
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DataType dtype UNUSED,
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SparseCsrTensor* out) {
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phi::Copy<Context>(dev_ctx,
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x.non_zero_crows(),
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dev_ctx.GetPlace(),
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false,
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out->mutable_non_zero_crows());
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phi::Copy<Context>(dev_ctx,
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x.non_zero_cols(),
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dev_ctx.GetPlace(),
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false,
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out->mutable_non_zero_cols());
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DenseTensor* values = out->mutable_non_zero_elements();
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values->Resize(x.non_zero_elements().dims());
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dev_ctx.template Alloc<T>(values);
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FullValue<T, Context>(dev_ctx, values, val.to<T>());
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out->set_dims(x.dims());
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}
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} // namespace phi
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PD_REGISTER_KERNEL(full_like_coo,
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CPU,
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ALL_LAYOUT,
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phi::FullLikeCooKernel,
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float,
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double,
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uint8_t,
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int16_t,
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int,
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int64_t,
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bool,
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phi::bfloat16,
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phi::float16,
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phi::complex64,
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phi::complex128) {
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kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_COO);
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}
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PD_REGISTER_KERNEL(full_like_csr,
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CPU,
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ALL_LAYOUT,
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phi::FullLikeCsrKernel,
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float,
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double,
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uint8_t,
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int16_t,
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int,
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int64_t,
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bool,
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phi::bfloat16,
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phi::float16,
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phi::complex64,
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phi::complex128) {
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kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_CSR);
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}
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