wehub-resource-sync
85 lines
3.2 KiB
C++
85 lines
3.2 KiB
C++
/* Copyright (c) 2024 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/core/dense_tensor.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/utils/array_ref.h"
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namespace phi {
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template <typename T>
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std::vector<T> ComputeBroadcastShape(const paddle::array_ref<T>& large_shape,
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const paddle::array_ref<T>& small_shape) {
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PADDLE_ENFORCE_GE(
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large_shape.size(),
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small_shape.size(),
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common::errors::PreconditionNotMet(
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"Size of large_shape is expected to be greater or equal size of "
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"small_shape, but got [%d] >= [%d].",
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large_shape.size(),
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small_shape.size()));
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std::vector<T> output_data;
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output_data.reserve(large_shape.size());
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auto rank_gap = large_shape.size() - small_shape.size();
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for (size_t i = 0; i < rank_gap; ++i) {
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output_data.push_back(large_shape[i]);
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}
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for (size_t i = 0; i < small_shape.size(); ++i) {
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output_data.push_back(std::max(large_shape[i + rank_gap], small_shape[i]));
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}
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return output_data;
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}
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template <typename T, typename Context>
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void ShapeBroadcastKernel(const Context& dev_ctx,
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const DenseTensor& x_shape,
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const DenseTensor& y_shape,
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DenseTensor* out) {
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PADDLE_ENFORCE_EQ(x_shape.dims().size(),
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1,
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common::errors::InvalidArgument(
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"Invalid input tensor. The rank of x_shape "
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"should be equal 1, but now received [%d].",
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x_shape.dims().size()));
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PADDLE_ENFORCE_EQ(y_shape.dims().size(),
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1,
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common::errors::InvalidArgument(
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"Invalid input tensor. The rank of y_shape "
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"should be equal 1, but now received [%d].",
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y_shape.dims().size()));
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paddle::array_ref<T> x_shape_data(x_shape.data<T>(), x_shape.numel());
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paddle::array_ref<T> y_shape_data(y_shape.data<T>(), y_shape.numel());
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const auto& output_data =
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x_shape_data.size() > y_shape_data.size()
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? ComputeBroadcastShape(x_shape_data, y_shape_data)
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: ComputeBroadcastShape(y_shape_data, x_shape_data);
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T* out_data = dev_ctx.template HostAlloc<T>(out);
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int64_t out_numel = out->numel();
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for (int i = 0; i < out_numel; ++i) {
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out_data[i] = output_data[i];
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(shape_broadcast,
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CPU,
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ALL_LAYOUT,
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phi::ShapeBroadcastKernel,
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int32_t,
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int64_t) {}
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