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Fixing conv bug #258

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Merged
asroy merged 8 commits into from
May 27, 2022
Merged

Fixing conv bug #258

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aff78f8
debugging conv
May 25, 2022
ab7e809
fix oversight where ctile map is constructed before initializing c desc
rosenrodt May 26, 2022
8f06036
example program should returns error code
rosenrodt May 26, 2022
4661938
clean up
May 26, 2022
31ecb3a
changed Block2CTileMap in conv2d and convnd
May 26, 2022
460135d
clean up
May 26, 2022
93acf87
clean up
May 26, 2022
3307bfb
cleanup
May 26, 2022
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53 changes: 52 additions & 1 deletion example/09_convnd_fwd/convnd_fwd_xdl_fp16.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,7 @@
#include "conv_util.hpp"
#include "device.hpp"
#include "device_tensor.hpp"
#include "device_conv2d_fwd_xdl_c_shuffle_nhwc_kyxc_nhwk.hpp"
#include "device_convnd_fwd_xdl_nhwc_kyxc_nhwk.hpp"
#include "element_wise_operation.hpp"
#include "host_tensor.hpp"
Expand Down Expand Up @@ -78,6 +79,52 @@ using DeviceConvNDFwdInstance = ck::tensor_operation::device::
7, // CThreadTransferSrcDstVectorDim
1>; // CThreadTransferDstScalarPerVector

#if 1
using DeviceConv2DFwdInstance = ck::tensor_operation::device::DeviceConv2dFwdXdl_C_Shuffle_Input_N_Hi_Wi_C_Weight_K_Y_X_C_Output_N_Ho_Wo_K<
ck::half_t,
ck::half_t,
ck::half_t,
float,
ck::tensor_operation::element_wise::PassThrough,
ck::tensor_operation::element_wise::PassThrough,
ck::tensor_operation::element_wise::PassThrough,
ck::tensor_operation::device::ConvolutionForwardSpecialization::Default,

256, // block_size
128, // m_per_block
64, // n_per_block
4, // k_per_block
8, // k1
32, // m_per_xdl
32, // n_per_xdl
2, // m_xdl_per_wave
1, // n_xdl_per_wave


S<4,64,1>, // thread_cluster_length
S<1,0,2>, // thread_cluster_arrange_order
S<1,0,2>, // src_access_order
2, // src_vector_dim
8, // src_scalar_per_vector
8, // dst_scalar_per_vector
true, // add_extra_dim

S<4,64,1>, // thread_cluster_length
S<1,0,2>, // thread_cluster_arrange_order
S<1,0,2>, // src_access_order
2, // src_vector_dim
8, // src_scalar_per_vector
8, // dst_scalar_per_vector
true, // add_extra_dim

1, // m_xdl_per_wave
1, // n_xdl_per_wave
S<1,1,32,1,1,8>, // m_n_block_wave_per_xdl
8 // scalar_per_vector

>;
#endif

template <ck::index_t NumDimSpatial>
using ReferenceConvNDFwdInstance = ck::tensor_operation::host::ReferenceConvFwd<InDataType,
WeiDataType,
Expand All @@ -95,7 +142,11 @@ DeviceConvFwdBasePtr get_conv_instance(int num_dim_spatial)
return std::make_unique<DeviceConvNDFwdInstance<3>>();
}
case 2: {
#if 0
return std::make_unique<DeviceConvNDFwdInstance<2>>();
#else
return std::make_unique<DeviceConv2DFwdInstance>();
#endif
}
case 1: {
return std::make_unique<DeviceConvNDFwdInstance<1>>();
Expand Down Expand Up @@ -291,7 +342,7 @@ int main(int argc, char* argv[])

float tflops = static_cast<float>(flop) / 1.E9 / ave_time;
float gb_per_sec = num_btype / 1.E6 / ave_time;
std::cout << "Perf: " << ave_time << " ms, " << tflops << " TFlops, " << gb_per_sec << " GB/s"
std::cout << "Perf: " << ave_time << " ms, " << tflops << " TFlops, " << gb_per_sec << " GB/s, " << conv->GetTypeString()
<< std::endl;

if(do_verification)
Expand Down