wehub-resource-sync
104 lines
3.1 KiB
C++
104 lines
3.1 KiB
C++
// Copyright (c) 2023 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_sum_kernel.h"
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#include "paddle/phi/backends/all_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/reduce_kernel_impl.h"
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namespace phi {
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template <typename T, typename Context>
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void SumKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const IntArray& dims,
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DataType out_dtype,
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bool keep_dim,
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DenseTensor* out) {
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bool reduce_all = recompute_reduce_all(x, dims);
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SumRawKernel<T, Context>(
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dev_ctx, x, dims, keep_dim, reduce_all, out_dtype, out);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(sum,
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CPU,
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ALL_LAYOUT,
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phi::SumKernel,
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bool,
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float,
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double,
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phi::float16,
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phi::bfloat16,
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int16_t,
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int,
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int64_t,
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uint8_t,
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int8_t,
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phi::complex64,
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phi::complex128) {
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kernel->OutputAt(0).SetDataType(phi::DataType::UNDEFINED);
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}
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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PD_REGISTER_KERNEL(sum,
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GPU,
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ALL_LAYOUT,
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phi::SumKernel,
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bool,
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float,
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double,
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phi::float16,
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phi::bfloat16,
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int16_t,
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int,
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int64_t,
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uint8_t,
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int8_t,
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phi::complex64,
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phi::complex128) {
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kernel->OutputAt(0).SetDataType(phi::DataType::UNDEFINED);
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}
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#endif
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#if defined(PADDLE_WITH_XPU_KP) && !defined(PADDLE_WITH_XPU)
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PD_REGISTER_KERNEL(sum, KPS, ALL_LAYOUT, phi::SumKernel, float) {
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kernel->OutputAt(0).SetDataType(phi::DataType::UNDEFINED);
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}
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#endif
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#if defined(PADDLE_WITH_DNNL)
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PD_REGISTER_KERNEL(sum, OneDNN, ONEDNN, phi::SumKernel, float, phi::bfloat16) {
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kernel->check_if_onednn_kernel_support_ = phi::ReduceCheckIfOneDNNSupport;
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}
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#endif
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#if defined(PADDLE_WITH_XPU)
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PD_REGISTER_KERNEL(sum,
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XPU,
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ALL_LAYOUT,
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phi::SumKernel,
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float,
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phi::float16,
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phi::bfloat16,
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int8_t,
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int,
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int64_t,
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bool) {
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kernel->OutputAt(0).SetDataType(phi::DataType::UNDEFINED);
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}
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#endif
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