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* fix relu * clean up * clean up * adding 1x1 conv * adding 1x1 conv * added 1x1 conv * refactor * refactor * refactor * added profiler for conv+bias+relu+add * clean up * adding conv+bias+relu * adding conv+bias+relu * added conv+bias+relu * Update README.md * update cpu verification * adding c shuffle * update static_tensor for dealing with invalid element * adding c shuffle * debugging * fix bug * convert to fp16 before shuffle * shuffle more than one M/NRepeat * clean up * remove coordinate step hack from GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v3r1 * clean up * remove coordinate step hack from all gridwise gemm xdl * clean up coordinate step hack * clean up coordinate step hack * ThreadwiseTensorSliceTransfer_v3r2 support pointwise op on both src and dst * adding output shuffle in conv+bias+relu+add * update * added conv+bias+relu+add with c shuffle * added conv+bias+relu+add with c shuffle * fix forward_sweep bugs in threadwise copy * clean up * refactor * clean up * clean up * added conv_c_shuffle+bias_relu * clean up * added conv+bias+relu+atomic_add * clean up * clean up * clean up * clean up * clean up * clean up * misc fixes; add 1x1 specialization * clean up * delete unused device op * clean up * add support for odd C value
27 lines
785 B
C++
27 lines
785 B
C++
#ifndef CK_DEVICE_OPERATION_INSTANCE_HPP
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#define CK_DEVICE_OPERATION_INSTANCE_HPP
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#include <stdlib.h>
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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 OpInstance, typename NewOpInstances>
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void add_device_operation_instances(std::vector<std::unique_ptr<OpInstance>>& op_instances,
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const NewOpInstances& new_op_instances)
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{
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ck::static_for<0, std::tuple_size_v<NewOpInstances>, 1>{}([&](auto i) {
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const auto new_op_instance = std::get<i>(new_op_instances);
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using NewOpInstance = remove_cvref_t<decltype(new_op_instance)>;
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op_instances.push_back(std::make_unique<NewOpInstance>(new_op_instance));
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});
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}
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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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