wehub-resource-sync
95 lines
3.1 KiB
Plaintext
95 lines
3.1 KiB
Plaintext
/* 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/gpu/gpu_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/full_kernel.h"
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#include "paddle/phi/kernels/funcs/elementwise_base.h"
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namespace phi {
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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,
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SparseCooTensor* out) {
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phi::Copy<Context>(
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dev_ctx, x.indices(), dev_ctx.GetPlace(), false, out->mutable_indices());
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DenseTensor* values = out->mutable_values();
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phi::Full<T, Context>(dev_ctx, vectorize(x.values().dims()), val, values);
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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,
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SparseCsrTensor* out) {
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phi::Copy<Context>(
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dev_ctx, x.crows(), dev_ctx.GetPlace(), false, out->mutable_crows());
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phi::Copy<Context>(
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dev_ctx, x.cols(), dev_ctx.GetPlace(), false, out->mutable_cols());
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DenseTensor* values = out->mutable_values();
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phi::Full<T, Context>(dev_ctx, vectorize(x.values().dims()), val, values);
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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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GPU,
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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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GPU,
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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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