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* gemm+activation * move C pointwise operation into threadwise copy * add pointwise operation to A/B matrix * update ckProfiler * adding bias add * adding bias add * adding bias add * added bias add; worked around compiler issues * clean up * clean up * Update README.md * Update README.md * Update README.md * clean up * add conv_xdl example * adding conv_xdl_bias_relu_add example * add conv+bias+relu+add, but has register spill issue * tweak * tweak * refactor * Update README.md update readme for example/2_gemm_xdl_bias_relu_add * clean up * Update README.md update readme for example/3_conv_xdl * Update README.md
43 lines
1.3 KiB
C++
43 lines
1.3 KiB
C++
#ifndef DEVICE_GEMM_HPP
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#define DEVICE_GEMM_HPP
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#include <iostream>
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#include "device_base.hpp"
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namespace ck {
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namespace tensor_operation {
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namespace device {
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template <typename AElementwiseOperation,
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typename BElementwiseOperation,
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typename CElementwiseOperation>
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struct DeviceGemm : public BaseOperator
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{
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virtual std::unique_ptr<BaseArgument>
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MakeArgumentPointer(const void* p_a,
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const void* p_b,
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void* p_c,
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ck::index_t M,
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ck::index_t N,
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ck::index_t K,
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ck::index_t StrideA,
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ck::index_t StrideB,
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ck::index_t StrideC,
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AElementwiseOperation a_element_op,
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BElementwiseOperation b_element_op,
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CElementwiseOperation c_element_op) = 0;
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virtual std::unique_ptr<BaseInvoker> MakeInvokerPointer() = 0;
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};
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template <typename AElementwiseOperation,
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typename BElementwiseOperation,
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typename CElementwiseOperation>
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using DeviceGemmPtr = std::unique_ptr<
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DeviceGemm<AElementwiseOperation, BElementwiseOperation, CElementwiseOperation>>;
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} // namespace device
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} // namespace tensor_operation
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} // namespace ck
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#endif
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