wehub-resource-sync
55 lines
1.7 KiB
C++
55 lines
1.7 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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#include "paddle/phi/kernels/identity_loss_kernel.h"
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#include "paddle/phi/backends/cpu/cpu_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/core/tensor_utils.h"
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#include "paddle/phi/kernels/mean_all_kernel.h"
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#include "paddle/phi/kernels/reduce_sum_kernel.h"
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namespace phi {
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template <typename T, typename Context>
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void IdentityLossKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const int reduction,
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DenseTensor* out) {
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switch (reduction) {
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case 0:
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// sum
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SumRawKernel<T>(
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dev_ctx, x, IntArray({0}), false, true, out->dtype(), out);
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break;
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case 1:
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// mean
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MeanAllKernel<T>(dev_ctx, x, out);
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break;
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case 2:
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// none
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Copy(dev_ctx, x, dev_ctx.GetPlace(), false, out);
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break;
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default:
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// error
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PADDLE_THROW(common::errors::InvalidArgument(
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"reduction should be 0, 1 and 2. But get %d", reduction));
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(
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identity_loss, CPU, ALL_LAYOUT, phi::IdentityLossKernel, float, double) {}
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