wehub-resource-sync
63 lines
2.2 KiB
C++
63 lines
2.2 KiB
C++
// Copyright (c) 2024 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/random_routing_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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#include "paddle/phi/core/tensor_utils.h"
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#ifdef PADDLE_WITH_CUSTOM_DEVICE
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namespace phi {
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template <typename T, typename Context>
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void RandomRoutingKernel(const Context& dev_ctx,
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const DenseTensor& prob_in,
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const DenseTensor& topk_value_in,
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const DenseTensor& topk_idx_in,
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DenseTensor* out) {
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auto topk_idx = &topk_idx_in;
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auto topk_value = &topk_value_in;
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auto prob = &prob_in;
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size_t D = topk_idx->dims()[1];
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DenseTensor topk_value_cpu, prob_cpu;
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phi::Copy(dev_ctx, *topk_value, phi::CPUPlace(), true, &topk_value_cpu);
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phi::Copy(dev_ctx, *prob, phi::CPUPlace(), true, &prob_cpu);
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auto* topk_value_data = topk_value_cpu.data<T>();
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auto* prob_data = prob_cpu.data<T>();
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std::vector<int64_t> out_data(topk_idx->numel());
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for (int64_t idx = 0; idx < topk_idx->numel(); ++idx) {
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size_t row = idx / D;
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size_t col = idx % D;
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if (col == 1 && static_cast<T>(2) * topk_value_data[idx] < prob_data[row]) {
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out_data[idx] = static_cast<int64_t>(-1);
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}
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}
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auto out_dims = out->dims();
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TensorFromVector<int64_t>(out_data, dev_ctx, out);
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out->Resize(out_dims);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(random_routing,
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Custom,
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ALL_LAYOUT,
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phi::RandomRoutingKernel,
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float,
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double,
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phi::float16) {}
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#endif
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