41 lines
1.4 KiB
C++
41 lines
1.4 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/kernels/cpu/reduce.h"
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#include "paddle/phi/kernels/frobenius_norm_kernel.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 FrobeniusNormKernel(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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bool reduce_all,
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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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funcs::SetConstant<Context, T>()(dev_ctx, out, 0);
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return;
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}
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reduce_all = recompute_reduce_all(x, axis.GetData(), reduce_all);
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Reduce<Context, T, funcs::FrobeniusNormFunctor>(
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dev_ctx, x, reduce_all, axis.GetData(), keep_dim, x.dtype(), out);
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}
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} // namespace phi
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