wehub-resource-sync
89 lines
2.8 KiB
C++
89 lines
2.8 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/reduce_all_kernel.h"
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#include "glog/logging.h"
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#include "paddle/phi/backends/all_context.h"
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#include "paddle/phi/common/int_array.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/full_kernel.h"
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namespace phi {
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template <typename T, typename Context>
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PADDLE_API void AllKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const std::vector<int64_t>& dims,
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bool keep_dim,
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DenseTensor* out) {
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auto x_dim = x.dims();
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for (int i = 0; i < x_dim.size(); i++) {
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PADDLE_ENFORCE_LE(
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0,
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x_dim[i],
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errors::InvalidArgument(
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"The dims of Input(X) should be greater than or equal to 0."));
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}
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if (x.numel() == 0) {
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dev_ctx.template Alloc<bool>(out);
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if (out->numel() > 0) {
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std::vector<int64_t> vec_dims = vectorize(out->dims());
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phi::Full<bool, Context>(dev_ctx, phi::IntArray(vec_dims), 1, out);
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}
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return;
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}
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bool reduce_all = recompute_reduce_all(x, dims);
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AllRawKernel<T>(dev_ctx, x, dims, keep_dim, reduce_all, out);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(all,
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CPU,
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ALL_LAYOUT,
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phi::AllKernel,
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float,
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double,
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int,
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int64_t,
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bool,
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phi::complex64,
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phi::complex128) {
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kernel->OutputAt(0).SetDataType(phi::DataType::BOOL);
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}
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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PD_REGISTER_KERNEL(all,
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GPU,
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ALL_LAYOUT,
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phi::AllKernel,
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float,
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double,
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int,
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int64_t,
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bool,
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phi::complex64,
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phi::complex128) {
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kernel->OutputAt(0).SetDataType(phi::DataType::BOOL);
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}
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#endif
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#if defined(PADDLE_WITH_XPU_KP)
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PD_REGISTER_KERNEL(all, KPS, ALL_LAYOUT, phi::AllKernel, bool) {}
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#endif
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#if defined(PADDLE_WITH_XPU)
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PD_REGISTER_KERNEL(all, XPU, ALL_LAYOUT, phi::AllKernel, bool) {}
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#endif
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