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quantization.cu
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quantization.cu
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/*
* Copyright (c) 2024 by FlashInfer team.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include <flashinfer/quantization.cuh>
#include "pytorch_extension_utils.h"
using namespace flashinfer;
void packbits(at::Tensor x, const std::string& bitorder, at::Tensor y, int64_t cuda_stream) {
CHECK_INPUT(x);
auto device = x.device();
TORCH_CHECK(bitorder == "big" || bitorder == "little", "bitorder must be 'big' or 'little'");
int64_t num_elements = x.numel();
cudaStream_t stream = reinterpret_cast<cudaStream_t>(cuda_stream);
cudaError_t status = quantization::PackBits(
static_cast<bool*>(x.data_ptr()), static_cast<uint8_t*>(y.data_ptr()), num_elements,
bitorder == "big" ? quantization::BitOrder::kBig : quantization::BitOrder::kLittle, stream);
TORCH_CHECK(status == cudaSuccess,
"PackBits failed with error code " + std::string(cudaGetErrorString(status)));
}
void segment_packbits(at::Tensor x, at::Tensor input_indptr, at::Tensor output_indptr,
const std::string& bitorder, at::Tensor y, int64_t cuda_stream) {
CHECK_INPUT(x);
CHECK_INPUT(input_indptr);
CHECK_INPUT(output_indptr);
auto device = x.device();
CHECK_EQ(input_indptr.device(), device);
CHECK_EQ(output_indptr.device(), device);
TORCH_CHECK(bitorder == "big" || bitorder == "little", "bitorder must be 'big' or 'little'");
unsigned int batch_size = input_indptr.size(0) - 1;
CHECK_EQ(output_indptr.size(0), batch_size + 1);
cudaStream_t stream = reinterpret_cast<cudaStream_t>(cuda_stream);
cudaError_t status = quantization::SegmentPackBits(
static_cast<bool*>(x.data_ptr()), static_cast<uint8_t*>(y.data_ptr()),
static_cast<int32_t*>(input_indptr.data_ptr()),
static_cast<int32_t*>(output_indptr.data_ptr()), batch_size,
bitorder == "big" ? quantization::BitOrder::kBig : quantization::BitOrder::kLittle, stream);
}