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bb7bcc75c2
* Fallback to NCCL for various patterns when input size is large. Move the previous implementation to cpp side. Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com> * Revising. Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com> --------- Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com>
45 lines
1.8 KiB
C++
45 lines
1.8 KiB
C++
/*
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* Copyright (c) 2020-2023, NVIDIA CORPORATION. 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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*/
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#pragma once
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#include "tensorrt_llm/common/cudaUtils.h"
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#include "tensorrt_llm/kernels/quantization.h"
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#include "tensorrt_llm/thop/thUtils.h"
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#include <ATen/cuda/EmptyTensor.h>
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#include <cuda_fp16.h>
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#include <cstdint>
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namespace torch_ext
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{
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std::tuple<torch::Tensor, torch::Tensor> symmetric_quantize_weight(torch::Tensor weight);
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std::tuple<torch::Tensor, torch::Tensor> symmetric_quantize_activation(torch::Tensor activation);
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std::tuple<torch::Tensor, torch::Tensor> symmetric_quantize_per_tensor(torch::Tensor input);
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std::tuple<torch::Tensor, torch::Tensor> symmetric_static_quantize_weight(torch::Tensor weight, torch::Tensor scales);
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std::tuple<torch::Tensor, torch::Tensor> symmetric_static_quantize_activation(
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torch::Tensor activation, torch::Tensor scales);
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std::tuple<torch::Tensor, torch::Tensor> symmetric_static_quantize_per_tensor(
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torch::Tensor input, torch::Tensor scales);
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torch::Tensor symmetric_dequantize_weight(torch::Tensor weight, torch::Tensor scales);
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torch::Tensor symmetric_dequantize_activation(torch::Tensor activation, torch::Tensor scales);
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torch::Tensor symmetric_dequantize_per_tensor(torch::Tensor input, torch::Tensor scales);
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} // namespace torch_ext
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