42 lines
1.5 KiB
C++
42 lines
1.5 KiB
C++
// Copyright (c) 2023 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/limit_by_capacity_kernel.h"
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#include "paddle/common/errors.h"
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#include "paddle/phi/core/kernel_registry.h"
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#if defined(PADDLE_WITH_GLOO)
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#include "paddle/phi/core/distributed/gloo_comm_context.h"
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#endif
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namespace phi {
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template <typename T, typename Context>
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void LimitByCapacityKernel(const Context& dev_ctx,
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const DenseTensor& expert_count,
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const DenseTensor& capacity,
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int n_worker,
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DenseTensor* Out) {
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PADDLE_THROW(common::errors::Unimplemented(
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"limit_by_capacity is not supported on CPU."));
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}
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} // namespace phi
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PD_REGISTER_KERNEL(limit_by_capacity,
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CPU,
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ALL_LAYOUT,
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phi::LimitByCapacityKernel,
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int,
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int64_t) {}
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