wehub-resource-sync
48 lines
1.6 KiB
Plaintext
48 lines
1.6 KiB
Plaintext
// 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/squared_l2_norm_kernel.h"
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#include "paddle/phi/backends/gpu/gpu_context.h"
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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/funcs/reduce_function.h"
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#include "paddle/phi/kernels/gpu/reduce.h"
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namespace phi {
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template <typename T, typename Context>
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void SquaredL2NormKernel(const Context& dev_ctx,
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const DenseTensor& x,
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DenseTensor* out) {
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dev_ctx.template Alloc<T>(out);
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std::vector<int> origin_reduce_dims;
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for (size_t i = 0; i < x.dims().size(); i++) {
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origin_reduce_dims.push_back(i);
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}
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funcs::ReduceGpuKernel<T, T, kps::SquaredL2NormOps>(
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dev_ctx, x, out, origin_reduce_dims);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(squared_l2_norm,
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GPU,
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ALL_LAYOUT,
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phi::SquaredL2NormKernel,
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float,
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double,
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phi::float16,
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phi::bfloat16) {}
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