wehub-resource-sync
50 lines
1.6 KiB
C++
50 lines
1.6 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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#pragma once
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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/phi/infermeta/unary.h"
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namespace phi {
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template <typename T, typename Context>
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void MeanRawKernel(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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template <typename T, typename Context>
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void MeanKernel(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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template <typename T, typename Context>
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DenseTensor Mean(const Context& dev_ctx,
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const DenseTensor& x,
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const IntArray& axis,
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bool keep_dim) {
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DenseTensor dense_out;
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MetaTensor meta_out(&dense_out);
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SumRawInferMeta(x, axis, keep_dim, false, x.dtype(), &meta_out);
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MeanKernel<T, Context>(dev_ctx, x, axis, keep_dim, &dense_out);
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return dense_out;
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}
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} // namespace phi
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