wehub-resource-sync
44 lines
1.5 KiB
C++
44 lines
1.5 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/reduce_max_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/kernels/cpu/reduce.h"
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#include "paddle/phi/kernels/funcs/reduce_functor.h"
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namespace phi {
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template <typename T, typename Context>
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void MaxKernel(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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DenseTensor* out) {
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if (x.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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bool reduce_all = recompute_reduce_all(x, dims);
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auto out_dtype = x.dtype();
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Reduce<CPUContext, T, funcs::MaxFunctor>(
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dev_ctx, x, reduce_all, dims.GetData(), keep_dim, out_dtype, out);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(
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max, CPU, ALL_LAYOUT, phi::MaxKernel, float, double, int, int64_t) {}
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