wehub-resource-sync
58 lines
2.1 KiB
C++
58 lines
2.1 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/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 PruneGateByCapacityKernel(const Context& dev_ctx,
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const DenseTensor& gate_idx_in,
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const DenseTensor& expert_count_in,
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int64_t n_expert,
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int64_t n_worker,
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DenseTensor* new_gate_idx) {
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auto* gate_idx = &gate_idx_in;
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auto* expert_count = &expert_count_in;
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dev_ctx.template Alloc<T>(new_gate_idx);
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DenseTensor expert_count_cpu, gate_idx_cpu;
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phi::Copy(dev_ctx, *expert_count, phi::CPUPlace(), true, &expert_count_cpu);
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phi::Copy(dev_ctx, *gate_idx, phi::CPUPlace(), true, &gate_idx_cpu);
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auto expert_count_data = expert_count_cpu.data<T>();
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auto gate_idx_data = gate_idx_cpu.data<T>();
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std::vector<T> new_gate_idx_data(gate_idx->numel());
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for (auto i = 0; i < gate_idx->numel(); ++i) {
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auto orig_cap = expert_count_data[gate_idx_data[i]]--;
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if (orig_cap <= 0) {
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new_gate_idx_data[i] = -1;
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} else {
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new_gate_idx_data[i] = gate_idx_data[i];
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}
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(prune_gate_by_capacity,
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Custom,
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ALL_LAYOUT,
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phi::PruneGateByCapacityKernel,
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int64_t) {}
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#endif
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