41 lines
1.4 KiB
C++
41 lines
1.4 KiB
C++
/* Copyright (c) 2022 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/kernels/reduce_min_kernel.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/onednn/reduce_kernel_impl.h"
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namespace phi {
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template <typename T, typename Context>
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void MinRawKernel(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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DenseTensor* out) {
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reduce_all = recompute_reduce_all(x, dims, reduce_all);
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ReduceKernel<T, Context>(dev_ctx,
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x,
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dims,
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keep_dim,
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reduce_all,
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out,
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dnnl::algorithm::reduction_min);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(
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min_raw, OneDNN, ONEDNN, phi::MinRawKernel, float, phi::bfloat16) {}
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