wehub-resource-sync
63 lines
2.0 KiB
C++
63 lines
2.0 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/xpu/xpu_context.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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#include "paddle/phi/kernels/xpu/reduce.h"
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namespace phi {
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template <typename T, typename Context>
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void SumRawKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const IntArray& dims,
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bool keep_dim,
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bool reduce_all,
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DataType out_dtype,
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DenseTensor* out) {
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if (out_dtype == DataType::UNDEFINED && out->dtype() != x.dtype()) {
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out_dtype = out->dtype();
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}
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if (x.numel() == 0) {
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dev_ctx.template Alloc<T>(out);
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if (out_dtype == DataType::INT64) {
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Full<int64_t, Context>(dev_ctx, out->dims(), 0, out);
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} else {
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Full<T, Context>(dev_ctx, out->dims(), 0, out);
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}
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return;
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}
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XPUReduce<Context, T, phi::SumFunctor>(
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dev_ctx, x, dims.GetData(), 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_raw,
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XPU,
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ALL_LAYOUT,
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phi::SumRawKernel,
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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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