wehub-resource-sync
80 lines
3.5 KiB
Plaintext
80 lines
3.5 KiB
Plaintext
/*
|
|
* SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
|
* SPDX-License-Identifier: Apache-2.0
|
|
*
|
|
* 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.
|
|
*/
|
|
|
|
/*
|
|
**************************************************************************
|
|
* Modified from Deformable DETR
|
|
* Copyright (c) 2020 SenseTime. All Rights Reserved.
|
|
* Licensed under the Apache License, Version 2.0 [see LICENSE for details]
|
|
* https://github.com/fundamentalvision/Deformable-DETR/blob/main/LICENSE
|
|
**************************************************************************
|
|
* Modified from DCN (https://github.com/msracver/Deformable-ConvNets)
|
|
* Copyright (c) 2018 Microsoft
|
|
**************************************************************************
|
|
*/
|
|
|
|
#include <iostream>
|
|
#include <vector>
|
|
|
|
#include <cuda.h>
|
|
#include <cuda_fp16.h>
|
|
#include <cuda_runtime.h>
|
|
|
|
#include "multiscaleDeformableIm2ColCuda.cuh"
|
|
|
|
int32_t ms_deform_attn_cuda_forward(cudaStream_t stream, float const* value, int32_t const* spatialShapes,
|
|
int32_t const* levelStartIndex, float const* samplingLoc, float const* attnWeight, float* output, int32_t batch,
|
|
int32_t mSpatialSize, int32_t mNumHeads, int32_t mChannels, int32_t mNumLevels, int32_t mNumQuery, int32_t mNumPoint)
|
|
{
|
|
auto perValueSize = mSpatialSize * mNumHeads * mChannels;
|
|
auto perSampleLocSize = mNumQuery * mNumHeads * mNumLevels * mNumPoint * 2;
|
|
auto perAttnWeightSize = mNumQuery * mNumHeads * mNumLevels * mNumPoint;
|
|
|
|
int32_t mIm2colStep = batch;
|
|
|
|
for (int32_t n = 0; n < batch / mIm2colStep; ++n)
|
|
{
|
|
auto columns = output + perValueSize * n * mIm2colStep;
|
|
ms_deformable_im2col_cuda<float>(stream, value + n * mIm2colStep * perValueSize, spatialShapes, levelStartIndex,
|
|
samplingLoc + n * mIm2colStep * perSampleLocSize, attnWeight + n * mIm2colStep * perAttnWeightSize, batch,
|
|
mSpatialSize, mNumHeads, mChannels, mNumLevels, mNumQuery, mNumPoint, columns);
|
|
}
|
|
|
|
return 0;
|
|
}
|
|
|
|
int32_t ms_deform_attn_cuda_forward(cudaStream_t stream, __half const* value, int32_t const* spatialShapes,
|
|
int32_t const* levelStartIndex, __half const* samplingLoc, __half const* attnWeight, __half* output, int32_t batch,
|
|
int32_t mSpatialSize, int32_t mNumHeads, int32_t mChannels, int32_t mNumLevels, int32_t mNumQuery, int32_t mNumPoint)
|
|
{
|
|
auto perValueSize = mSpatialSize * mNumHeads * mChannels;
|
|
auto perSampleLocSize = mNumQuery * mNumHeads * mNumLevels * mNumPoint * 2;
|
|
auto perAttnWeightSize = mNumQuery * mNumHeads * mNumLevels * mNumPoint;
|
|
|
|
int32_t mIm2colStep = batch;
|
|
for (int32_t n = 0; n < batch / mIm2colStep; ++n)
|
|
{
|
|
auto columns = output + perValueSize * n * mIm2colStep;
|
|
ms_deformable_im2col_cuda<__half>(stream, value + n * mIm2colStep * perValueSize, spatialShapes,
|
|
levelStartIndex, samplingLoc + n * mIm2colStep * perSampleLocSize,
|
|
attnWeight + n * mIm2colStep * perAttnWeightSize, batch, mSpatialSize, mNumHeads, mChannels, mNumLevels,
|
|
mNumQuery, mNumPoint, columns);
|
|
}
|
|
|
|
return 0;
|
|
}
|