wehub-resource-sync
74 lines
2.5 KiB
C++
74 lines
2.5 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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/scatter_kernel.h"
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#include "paddle/phi/backends/cpu/cpu_context.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/scatter.h"
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namespace phi {
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template <typename T, typename Context>
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void ScatterKernel(const Context &dev_ctx,
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const DenseTensor &x,
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const DenseTensor &index,
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const DenseTensor &updates,
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bool overwrite,
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DenseTensor *out) {
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if (index.numel() == 0) {
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dev_ctx.template Alloc<T>(out);
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Copy(dev_ctx, x, dev_ctx.GetPlace(), false, out);
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return;
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}
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if (out && out->numel() == 0) {
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dev_ctx.template Alloc<T>(out);
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return;
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}
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// In place output: Out = X, Out[Ids] = Updates
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Copy(dev_ctx, x, dev_ctx.GetPlace(), false, out);
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// Apply ScatterUpdate: Out[index] = Updates[:]
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const auto &index_type = index.dtype();
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bool index_type_match =
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index_type == DataType::INT32 || index_type == DataType::INT64;
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PADDLE_ENFORCE_EQ(index_type_match,
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true,
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common::errors::InvalidArgument(
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"Index holds the wrong type, it holds [%s],"
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"but desires to be [%s] or [%s].",
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index_type,
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DataType::INT32,
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DataType::INT64));
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if (overwrite) {
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if (index_type == DataType::INT32) {
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funcs::ScatterAssign<T, int32_t>(dev_ctx, updates, index, out);
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} else {
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funcs::ScatterAssign<T, int64_t>(dev_ctx, updates, index, out);
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}
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} else {
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if (index_type == DataType::INT32) {
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funcs::ScatterAssignAdd<T, int32_t>(dev_ctx, updates, index, out);
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} else {
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funcs::ScatterAssignAdd<T, int64_t>(dev_ctx, updates, index, out);
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}
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(
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scatter, CPU, ALL_LAYOUT, phi::ScatterKernel, float, double, int, int64_t) {
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}
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