mirror of
https://github.com/blakeblackshear/frigate.git
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66 lines
2.6 KiB
C++
66 lines
2.6 KiB
C++
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/*
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* The MIT License (MIT)
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*
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* Copyright (c) 2015-2022 Advanced Micro Devices, Inc. All rights reserved.
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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* THE SOFTWARE.
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*/
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#include <migraphx/gpu/device/contiguous.hpp>
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#include <migraphx/gpu/device/nary.hpp>
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namespace migraphx {
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inline namespace MIGRAPHX_INLINE_NS {
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namespace gpu {
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namespace device {
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void contiguous_nonstandard(hipStream_t stream, const argument& result, const argument& arg)
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{
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shape s{result.get_shape().type(), result.get_shape().lens()};
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visit_all(result, arg)([&](auto output_v, auto input_v) {
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hip_visit_views(output_v, input_v, s)([&](auto output, auto input, auto standard_shape) {
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mi_gs_launch(stream,
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standard_shape)([=](auto idx) __device__ { output[idx] = input[idx]; });
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});
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});
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}
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void contiguous_packed(hipStream_t stream, const argument& result, const argument& arg)
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{
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index_int nelements = result.get_shape().elements();
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visit_all(result, arg)([&](auto output_v, auto input_v) {
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const auto* input = device_cast(input_v.data());
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auto* output = device_cast(output_v.data());
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gs_launch(stream, nelements)([=](auto i) __device__ { output[i] = input[i]; });
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});
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}
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void contiguous(hipStream_t stream, const argument& result, const argument& arg)
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{
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if(result.get_shape() == arg.get_shape() and result.get_shape().packed())
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contiguous_packed(stream, result, arg);
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else
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contiguous_nonstandard(stream, result, arg);
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}
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} // namespace device
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} // namespace gpu
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} // namespace MIGRAPHX_INLINE_NS
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} // namespace migraphx
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