wehub-resource-sync
46 lines
1.8 KiB
C++
46 lines
1.8 KiB
C++
// Copyright (c) 2025 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_variance_kernel.h"
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#include "paddle/phi/kernels/elementwise_multiply_kernel.h"
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#include "paddle/phi/kernels/elementwise_subtract_kernel.h"
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#include "paddle/phi/kernels/reduce_mean_kernel.h"
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#include "paddle/phi/backends/all_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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namespace phi {
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template <typename T, typename Context>
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void VarianceKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const std::vector<int64_t>& dims,
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bool keep_dim,
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DenseTensor* out) {
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DenseTensor temp_mean = Mean<T, Context>(dev_ctx, x, dims, true);
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DenseTensor temp_differences = Subtract<T, Context>(dev_ctx, x, temp_mean);
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DenseTensor temp_pow =
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Multiply<T, Context>(dev_ctx, temp_differences, temp_differences);
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MeanKernel<T, Context>(dev_ctx, temp_pow, dims, keep_dim, out);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(
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variance, CPU, ALL_LAYOUT, phi::VarianceKernel, float, double) {}
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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PD_REGISTER_KERNEL(
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variance, GPU, ALL_LAYOUT, phi::VarianceKernel, float, double) {}
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#endif
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