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Commit c31867bd authored by Chao Liu's avatar Chao Liu
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add non-padded

parent 5f0c56d0
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composable_kernel/include/driver/driver_dynamic_convolution_forward_implicit_gemm_v4r4_nhwc_kyxc_nhwk.hpp
View file @ c31867bd
...@@ -229,6 +229,660 @@ struct DriverDynamicConvolutionForwardImplicitGemm_v4r4_nhwc_kyxc_nhwk_pad ...@@ -229,6 +229,660 @@ struct DriverDynamicConvolutionForwardImplicitGemm_v4r4_nhwc_kyxc_nhwk_pad
const bool has_double_tail_k_block_loop = (GemmK / GemmKPerBlock) % 2 == 0; const bool has_double_tail_k_block_loop = (GemmK / GemmKPerBlock) % 2 == 0;
printf("%s: BlockSize %d, GridSize %d \n", __func__, BlockSize, GridSize);
#if 1 // pass tensor descriptors by their reference
index_t nrepeat = 100;
for(index_t i = 0; i < 5; ++i)
{
std::cout << "Start running " << nrepeat << " times..." << std::endl;
KernelTimer timer;
timer.Start();
for(index_t j = 0; j < nrepeat; ++j)
{
if(has_main_k_block_loop && has_double_tail_k_block_loop)
{
const auto kernel =
run_gridwise_operation<gridwise_gemm,
decltype(wei_gemmk_gemmm_global_desc),
const Float*,
decltype(in_gemmk_gemmn_global_desc),
const Float*,
decltype(
out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc),
Float*,
integral_constant<bool, true>,
integral_constant<bool, true>>;
launch_kernel(kernel,
dim3(GridSize),
dim3(BlockSize),
0,
0,
wei_gemmk_gemmm_global_desc,
p_wei_global,
in_gemmk_gemmn_global_desc,
p_in_global,
out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc,
p_out_global,
integral_constant<bool, true>{},
integral_constant<bool, true>{});
}
else if(has_main_k_block_loop && !has_double_tail_k_block_loop)
{
const auto kernel =
run_gridwise_operation<gridwise_gemm,
decltype(wei_gemmk_gemmm_global_desc),
const Float*,
decltype(in_gemmk_gemmn_global_desc),
const Float*,
decltype(
out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc),
Float*,
integral_constant<bool, true>,
integral_constant<bool, false>>;
launch_kernel(kernel,
dim3(GridSize),
dim3(BlockSize),
0,
0,
wei_gemmk_gemmm_global_desc,
p_wei_global,
in_gemmk_gemmn_global_desc,
p_in_global,
out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc,
p_out_global,
integral_constant<bool, true>{},
integral_constant<bool, false>{});
}
else if(!has_main_k_block_loop && has_double_tail_k_block_loop)
{
const auto kernel =
run_gridwise_operation<gridwise_gemm,
decltype(wei_gemmk_gemmm_global_desc),
const Float*,
decltype(in_gemmk_gemmn_global_desc),
const Float*,
decltype(
out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc),
Float*,
integral_constant<bool, false>,
integral_constant<bool, true>>;
launch_kernel(kernel,
dim3(GridSize),
dim3(BlockSize),
0,
0,
wei_gemmk_gemmm_global_desc,
p_wei_global,
in_gemmk_gemmn_global_desc,
p_in_global,
out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc,
p_out_global,
integral_constant<bool, false>{},
integral_constant<bool, true>{});
}
else
{
const auto kernel =
run_gridwise_operation<gridwise_gemm,
decltype(wei_gemmk_gemmm_global_desc),
const Float*,
decltype(in_gemmk_gemmn_global_desc),
const Float*,
decltype(
out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc),
Float*,
integral_constant<bool, false>,
integral_constant<bool, false>>;
launch_kernel(kernel,
dim3(GridSize),
dim3(BlockSize),
0,
0,
wei_gemmk_gemmm_global_desc,
p_wei_global,
in_gemmk_gemmn_global_desc,
p_in_global,
out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc,
p_out_global,
integral_constant<bool, false>{},
integral_constant<bool, false>{});
}
}
timer.End();
float ave_time = timer.GetElapsedTime() / nrepeat;
float perf = (float)(std::size_t(2) * N * K * Ho * Wo * C * Y * X) /
(std::size_t(1000) * 1000 * 1000) / ave_time;
std::cout << "Average time : " << ave_time << " ms, " << perf << " TFlop/s"
<< std::endl;
}
#elif 1 // pass tensor descriptors by their pointers
using ADesc = decltype(wei_gemmk_gemmm_global_desc);
using BDesc = decltype(in_gemmk_gemmn_global_desc);
using CDesc = decltype(out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc);
DeviceMem wei_gemmk_gemmm_global_desc_device_buf(sizeof(ADesc));
DeviceMem in_gemmk_gemmn_global_desc_device_buf(sizeof(BDesc));
DeviceMem out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc_desc_device_buf(sizeof(CDesc));
wei_gemmk_gemmm_global_desc_device_buf.ToDevice(&wei_gemmk_gemmm_global_desc);
in_gemmk_gemmn_global_desc_device_buf.ToDevice(&in_gemmk_gemmn_global_desc);
out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc_desc_device_buf.ToDevice(
&out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc);
index_t nrepeat = 100;
for(index_t i = 0; i < 5; ++i)
{
std::cout << "Start running " << nrepeat << " times..." << std::endl;
KernelTimer timer;
timer.Start();
for(index_t j = 0; j < nrepeat; ++j)
{
if(has_main_k_block_loop && has_double_tail_k_block_loop)
{
const auto kernel =
run_gridwise_operation<gridwise_gemm,
decltype(wei_gemmk_gemmm_global_desc)*,
const Float*,
decltype(in_gemmk_gemmn_global_desc)*,
const Float*,
decltype(
out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc)*,
Float*,
integral_constant<bool, true>,
integral_constant<bool, true>>;
launch_kernel(kernel,
dim3(GridSize),
dim3(BlockSize),
0,
0,
reinterpret_cast<const ADesc*>(
wei_gemmk_gemmm_global_desc_device_buf.GetDeviceBuffer()),
p_wei_global,
reinterpret_cast<const BDesc*>(
in_gemmk_gemmn_global_desc_device_buf.GetDeviceBuffer()),
p_in_global,
reinterpret_cast<const CDesc*>(
out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc_desc_device_buf
.GetDeviceBuffer()),
p_out_global,
integral_constant<bool, true>{},
integral_constant<bool, true>{});
}
else if(has_main_k_block_loop && !has_double_tail_k_block_loop)
{
const auto kernel =
run_gridwise_operation<gridwise_gemm,
decltype(wei_gemmk_gemmm_global_desc)*,
const Float*,
decltype(in_gemmk_gemmn_global_desc)*,
const Float*,
decltype(
out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc)*,
Float*,
integral_constant<bool, true>,
integral_constant<bool, false>>;
launch_kernel(kernel,
dim3(GridSize),
dim3(BlockSize),
0,
0,
reinterpret_cast<const ADesc*>(
wei_gemmk_gemmm_global_desc_device_buf.GetDeviceBuffer()),
p_wei_global,
reinterpret_cast<const BDesc*>(
in_gemmk_gemmn_global_desc_device_buf.GetDeviceBuffer()),
p_in_global,
reinterpret_cast<const CDesc*>(
out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc_desc_device_buf
.GetDeviceBuffer()),
p_out_global,
integral_constant<bool, true>{},
integral_constant<bool, false>{});
}
else if(!has_main_k_block_loop && has_double_tail_k_block_loop)
{
const auto kernel =
run_gridwise_operation<gridwise_gemm,
decltype(wei_gemmk_gemmm_global_desc)*,
const Float*,
decltype(in_gemmk_gemmn_global_desc)*,
const Float*,
decltype(
out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc)*,
Float*,
integral_constant<bool, false>,
integral_constant<bool, true>>;
launch_kernel(kernel,
dim3(GridSize),
dim3(BlockSize),
0,
0,
reinterpret_cast<const ADesc*>(
wei_gemmk_gemmm_global_desc_device_buf.GetDeviceBuffer()),
p_wei_global,
reinterpret_cast<const BDesc*>(
in_gemmk_gemmn_global_desc_device_buf.GetDeviceBuffer()),
p_in_global,
reinterpret_cast<const CDesc*>(
out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc_desc_device_buf
.GetDeviceBuffer()),
p_out_global,
integral_constant<bool, false>{},
integral_constant<bool, true>{});
}
else
{
const auto kernel =
run_gridwise_operation<gridwise_gemm,
decltype(wei_gemmk_gemmm_global_desc)*,
const Float*,
decltype(in_gemmk_gemmn_global_desc)*,
const Float*,
decltype(
out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc)*,
Float*,
integral_constant<bool, false>,
integral_constant<bool, false>>;
launch_kernel(kernel,
dim3(GridSize),
dim3(BlockSize),
0,
0,
reinterpret_cast<const ADesc*>(
wei_gemmk_gemmm_global_desc_device_buf.GetDeviceBuffer()),
p_wei_global,
reinterpret_cast<const BDesc*>(
in_gemmk_gemmn_global_desc_device_buf.GetDeviceBuffer()),
p_in_global,
reinterpret_cast<const CDesc*>(
out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc_desc_device_buf
.GetDeviceBuffer()),
p_out_global,
integral_constant<bool, false>{},
integral_constant<bool, false>{});
}
}
timer.End();
float ave_time = timer.GetElapsedTime() / nrepeat;
float perf = (float)(std::size_t(2) * N * K * Ho * Wo * C * Y * X) /
(std::size_t(1000) * 1000 * 1000) / ave_time;
std::cout << "Average time : " << ave_time << " ms, " << perf << " TFlop/s"
<< std::endl;
}
#elif 1 // pass tensor descriptor by void*
using ADesc = decltype(wei_gemmk_gemmm_global_desc);
using BDesc = decltype(in_gemmk_gemmn_global_desc);
using CDesc = decltype(out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc);
DeviceMem wei_gemmk_gemmm_global_desc_device_buf(sizeof(ADesc));
DeviceMem in_gemmk_gemmn_global_desc_device_buf(sizeof(BDesc));
DeviceMem out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc_desc_device_buf(sizeof(CDesc));
wei_gemmk_gemmm_global_desc_device_buf.ToDevice(&wei_gemmk_gemmm_global_desc);
in_gemmk_gemmn_global_desc_device_buf.ToDevice(&in_gemmk_gemmn_global_desc);
out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc_desc_device_buf.ToDevice(
&out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc);
index_t nrepeat = 100;
for(index_t i = 0; i < 5; ++i)
{
std::cout << "Start running " << nrepeat << " times..." << std::endl;
KernelTimer timer;
timer.Start();
for(index_t j = 0; j < nrepeat; ++j)
{
if(has_main_k_block_loop && has_double_tail_k_block_loop)
{
const auto kernel = run_gridwise_operation<gridwise_gemm,
const void*,
const Float*,
const void*,
const Float*,
const void*,
Float*,
integral_constant<bool, true>,
integral_constant<bool, true>>;
launch_kernel(kernel,
dim3(GridSize),
dim3(BlockSize),
0,
0,
wei_gemmk_gemmm_global_desc_device_buf.GetDeviceBuffer(),
p_wei_global,
in_gemmk_gemmn_global_desc_device_buf.GetDeviceBuffer(),
p_in_global,
out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc_desc_device_buf
.GetDeviceBuffer(),
p_out_global,
integral_constant<bool, true>{},
integral_constant<bool, true>{});
}
else if(has_main_k_block_loop && !has_double_tail_k_block_loop)
{
const auto kernel = run_gridwise_operation<gridwise_gemm,
const void*,
const Float*,
const void*,
const Float*,
const void*,
Float*,
integral_constant<bool, true>,
integral_constant<bool, false>>;
launch_kernel(kernel,
dim3(GridSize),
dim3(BlockSize),
0,
0,
wei_gemmk_gemmm_global_desc_device_buf.GetDeviceBuffer(),
p_wei_global,
in_gemmk_gemmn_global_desc_device_buf.GetDeviceBuffer(),
p_in_global,
out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc_desc_device_buf
.GetDeviceBuffer(),
p_out_global,
integral_constant<bool, true>{},
integral_constant<bool, false>{});
}
else if(!has_main_k_block_loop && has_double_tail_k_block_loop)
{
const auto kernel = run_gridwise_operation<gridwise_gemm,
const void*,
const Float*,
const void*,
const Float*,
const void*,
Float*,
integral_constant<bool, false>,
integral_constant<bool, true>>;
launch_kernel(kernel,
dim3(GridSize),
dim3(BlockSize),
0,
0,
wei_gemmk_gemmm_global_desc_device_buf.GetDeviceBuffer(),
p_wei_global,
in_gemmk_gemmn_global_desc_device_buf.GetDeviceBuffer(),
p_in_global,
out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc_desc_device_buf
.GetDeviceBuffer(),
p_out_global,
integral_constant<bool, false>{},
integral_constant<bool, true>{});
}
else
{
const auto kernel = run_gridwise_operation<gridwise_gemm,
const void*,
const Float*,
const void*,
const Float*,
const void*,
Float*,
integral_constant<bool, false>,
integral_constant<bool, false>>;
launch_kernel(kernel,
dim3(GridSize),
dim3(BlockSize),
0,
0,
wei_gemmk_gemmm_global_desc_device_buf.GetDeviceBuffer(),
p_wei_global,
in_gemmk_gemmn_global_desc_device_buf.GetDeviceBuffer(),
p_in_global,
out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc_desc_device_buf
.GetDeviceBuffer(),
p_out_global,
integral_constant<bool, false>{},
integral_constant<bool, false>{});
}
}
timer.End();
float ave_time = timer.GetElapsedTime() / nrepeat;
float perf = (float)(std::size_t(2) * N * K * Ho * Wo * C * Y * X) /
(std::size_t(1000) * 1000 * 1000) / ave_time;
std::cout << "Average time : " << ave_time << " ms, " << perf << " TFlop/s"
<< std::endl;
}
#endif
}
};
template <index_t BlockSize,
typename Float,
typename AccFloat,
index_t GemmMPerBlock,
index_t GemmNPerBlock,
index_t GemmKPerBlock,
index_t GemmMPerThread,
index_t GemmNPerThread,
index_t GemmKPerThread,
index_t GemmMLevel0Cluster,
index_t GemmNLevel0Cluster,
index_t GemmMLevel1Cluster,
index_t GemmNLevel1Cluster,
typename GemmABlockTransferThreadSliceLengths_GemmK_GemmM,
typename GemmABlockTransferThreadClusterLengths_GemmK_GemmM,
index_t GemmABlockTransferSrcScalarPerVector_GemmK,
index_t GemmABlockTransferDstScalarPerVector_GemmM,
typename GemmBBlockTransferThreadSliceLengths_GemmK_GemmN,
typename GemmBBlockTransferThreadClusterLengths_GemmK_GemmN,
index_t GemmBBlockTransferSrcScalarPerVector_GemmK,
index_t GemmBBlockTransferDstScalarPerVector_GemmN,
index_t GemmCThreadTransferDstScalarPerVector_GemmM1>
struct DriverDynamicConvolutionForwardImplicitGemm_v4r4_nhwc_kyxc_nhwk_1x1
{
template <typename... Wei,
typename... In,
typename... Out,
typename ConvStrides,
typename ConvDilations,
typename InLeftPads,
typename InRightPads>
__host__ void Run(const DynamicTensorDescriptor<Wei...>& wei_k_y_x_c_global_desc,
const DynamicTensorDescriptor<In...>& in_n_hi_wi_c_global_desc,
const DynamicTensorDescriptor<Out...>& out_n_ho_wo_k_global_desc,
const ConvStrides& conv_strides,
const ConvDilations& conv_dilations,
const InLeftPads& in_left_pads,
const InRightPads& in_right_pads,
const Float* __restrict__ p_wei_global,
const Float* __restrict__ p_in_global,
Float* __restrict__ p_out_global) const
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
const auto N = in_n_hi_wi_c_global_desc.GetLength(I0);
const auto C = in_n_hi_wi_c_global_desc.GetLength(I3);
const auto K = out_n_ho_wo_k_global_desc.GetLength(I3);
const auto Hi = in_n_hi_wi_c_global_desc.GetLength(I1);
const auto Wi = in_n_hi_wi_c_global_desc.GetLength(I2);
const auto Ho = out_n_ho_wo_k_global_desc.GetLength(I1);
const auto Wo = out_n_ho_wo_k_global_desc.GetLength(I2);
const auto Y = wei_k_y_x_c_global_desc.GetLength(I1);
const auto X = wei_k_y_x_c_global_desc.GetLength(I2);
const auto ConvStrideH = conv_strides[I0];
const auto ConvStrideW = conv_strides[I1];
const auto ConvDilationH = conv_dilations[I0];
const auto ConvDilationW = conv_dilations[I1];
const auto InLeftPadH = in_left_pads[I0];
const auto InLeftPadW = in_left_pads[I1];
const auto InRightPadH = in_right_pads[I0];
const auto InRightPadW = in_right_pads[I1];
if(!(Y == 1 && X == 1 && ConvStrideH == 1 && ConvStrideW == 1 && ConvDilationH == 1 &&
ConvDilationW == 1 && InLeftPadH == 0 && InLeftPadW == 0 && InRightPadH == 0 &&
InRightPadW == 0))
{
throw std::runtime_error("wrong! 1x1, stride 1, no padding");
}
// weight tensor
const auto wei_gemmk_gemmm_global_desc = transform_dynamic_tensor_descriptor(
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(K, C)),
make_tuple(make_pass_through_transform(K), make_pass_through_transform(C)),
make_tuple(Sequence<0>{}, Sequence<1>{}),
make_tuple(Sequence<1>{}, Sequence<0>{}));
// input tensor
const auto in_gemmk_gemmn_global_desc = transform_dynamic_tensor_descriptor(
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(N * Ho * Wo, C)),
make_tuple(make_pass_through_transform(N * Ho * Wo), make_pass_through_transform(C)),
make_tuple(Sequence<0>{}, Sequence<1>{}),
make_tuple(Sequence<1>{}, Sequence<0>{}));
// output tensor
const auto out_gemmm_gemmn_global_desc = transform_dynamic_tensor_descriptor(
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(N * Ho * Wo, K)),
make_tuple(make_pass_through_transform(N * Ho * Wo), make_pass_through_transform(K)),
make_tuple(Sequence<0>{}, Sequence<1>{}),
make_tuple(Sequence<1>{}, Sequence<0>{}));
const auto GemmM = out_gemmm_gemmn_global_desc.GetLength(I0);
const auto GemmN = out_gemmm_gemmn_global_desc.GetLength(I1);
const auto GemmK = wei_gemmk_gemmm_global_desc.GetLength(I0);
if(!(GemmM % GemmMPerBlock == 0 && GemmN % GemmNPerBlock == 0 &&
GemmK % GemmKPerBlock == 0))
{
throw std::runtime_error("wrong! GEMM size no divisible");
}
constexpr auto GemmM1 = Number<GemmMPerThread * GemmMLevel0Cluster * GemmMLevel1Cluster>{};
constexpr auto GemmN1 = Number<GemmNPerThread * GemmNLevel0Cluster * GemmNLevel1Cluster>{};
const auto GemmM0 = GemmM / GemmM1;
const auto GemmN0 = GemmN / GemmN1;
const auto out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc =
transform_dynamic_tensor_descriptor(
out_gemmm_gemmn_global_desc,
make_tuple(make_unmerge_transform(make_tuple(GemmM0, GemmM1)),
make_unmerge_transform(make_tuple(GemmN0, GemmN1))),
make_tuple(Sequence<0>{}, Sequence<1>{}),
make_tuple(Sequence<0, 1>{}, Sequence<2, 3>{}));
// hack to control index calculation when iterating over a_k_m_global tensor
constexpr auto a_k_m_global_iterator_hacks =
make_tuple(make_tuple(Sequence<0, 0, 0>{}, Sequence<0, 0, 0>{}),
make_tuple(Sequence<0, 0, 0>{}, Sequence<0, 0, 0>{}));
constexpr auto a_k_m_global_move_slice_window_iterator_hack = Sequence<0, 0, 0>{};
// hack to control index calculation when iterating over b_k_n_global tensor
constexpr auto b_k_n_global_iterator_hacks =
make_tuple(make_tuple(Sequence<0, 0, 0>{}, Sequence<0, 0, 0>{}),
make_tuple(Sequence<0, 0, 0>{}, Sequence<0, 0, 0>{}));
constexpr auto b_k_n_global_move_slice_window_iterator_hack = Sequence<0, 0, 0>{};
// hack to control index calculation when iterating over c_m0_m1_n0_n1_global tensor
constexpr auto c_m0_m1_n0_n1_global_tensor_iterator_hacks =
make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{}),
make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{}));
// GEMM
using gridwise_gemm = GridwiseDynamicGemm_km_kn_mn_v1<
BlockSize,
Float,
AccFloat,
InMemoryDataOperation::Set,
decltype(wei_gemmk_gemmm_global_desc),
decltype(in_gemmk_gemmn_global_desc),
decltype(out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc),
GemmMPerBlock,
GemmNPerBlock,
GemmKPerBlock,
GemmMPerThread,
GemmNPerThread,
GemmKPerThread,
GemmMLevel0Cluster,
GemmNLevel0Cluster,
GemmMLevel1Cluster,
GemmNLevel1Cluster,
GemmABlockTransferThreadSliceLengths_GemmK_GemmM,
GemmABlockTransferThreadClusterLengths_GemmK_GemmM,
Sequence<1, 0>,
Sequence<1, 0>,
0,
GemmABlockTransferSrcScalarPerVector_GemmK,
GemmABlockTransferDstScalarPerVector_GemmM,
false, // don't move back src coordinate after threadwise copy
GemmBBlockTransferThreadSliceLengths_GemmK_GemmN,
GemmBBlockTransferThreadClusterLengths_GemmK_GemmN,
Sequence<1, 0>,
Sequence<1, 0>,
0,
GemmBBlockTransferSrcScalarPerVector_GemmK,
GemmBBlockTransferDstScalarPerVector_GemmN,
false, // don't move back src coordinate after threadwise copy, which will be fused with
// MoveSrcSliceWindow() to save addr computation
Sequence<2, 3, 0, 1>,
1,
GemmCThreadTransferDstScalarPerVector_GemmM1,
decltype(a_k_m_global_iterator_hacks),
decltype(b_k_n_global_iterator_hacks),
decltype(c_m0_m1_n0_n1_global_tensor_iterator_hacks),
decltype(a_k_m_global_move_slice_window_iterator_hack),
decltype(b_k_n_global_move_slice_window_iterator_hack)>;
const auto GridSize = (GemmM / GemmMPerBlock) * (GemmN / GemmNPerBlock);
const bool has_main_k_block_loop = (GemmK + GemmKPerBlock) / (2 * GemmKPerBlock) > 1;
const bool has_double_tail_k_block_loop = (GemmK / GemmKPerBlock) % 2 == 0;
printf("%s: BlockSize %d, GridSize %d \n", __func__, BlockSize, GridSize);
#if 1 // pass tensor descriptors by their reference #if 1 // pass tensor descriptors by their reference
index_t nrepeat = 100; index_t nrepeat = 100;
......
driver/include/device_dynamic_convolution_forward_implicit_gemm_v4r4_nchw_kcyx_nkhw.hpp
View file @ c31867bd
...@@ -39,7 +39,7 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4_nchw_kcyx_nkhw(InDesc ...@@ -39,7 +39,7 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4_nchw_kcyx_nkhw(InDesc
wei_kcyx_device_buf.ToDevice(wei_kcyx.mData.data()); wei_kcyx_device_buf.ToDevice(wei_kcyx.mData.data());
out_nkhw_device_buf.ToDevice(out_nkhw.mData.data()); out_nkhw_device_buf.ToDevice(out_nkhw.mData.data());
#if 1 #if 0
// run-time variables // run-time variables
const auto in_n_c_hi_wi_desc = const auto in_n_c_hi_wi_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(to_multi_index(InDesc::GetLengths())); make_dynamic_naive_tensor_descriptor_packed_v2(to_multi_index(InDesc::GetLengths()));
...@@ -67,7 +67,110 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4_nchw_kcyx_nkhw(InDesc ...@@ -67,7 +67,110 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4_nchw_kcyx_nkhw(InDesc
const auto in_right_pads = sequence_to_tuple_of_number(InRightPads{}); const auto in_right_pads = sequence_to_tuple_of_number(InRightPads{});
#endif #endif
#if 0 #if 1
// cdata = 16, BlockSize = 64, 16x64x4
constexpr index_t BlockSize = 64;
constexpr index_t GemmMPerBlock = 16;
constexpr index_t GemmNPerBlock = 64;
constexpr index_t GemmKPerBlock = 4;
constexpr index_t GemmMPerThread = 2;
constexpr index_t GemmNPerThread = 2;
constexpr index_t GemmKPerThread = 1;
constexpr index_t GemmMLevel0Cluster = 2;
constexpr index_t GemmNLevel0Cluster = 2;
constexpr index_t GemmMLevel1Cluster = 2;
constexpr index_t GemmNLevel1Cluster = 8;
constexpr index_t ThreadGemmDataPerReadM = 2;
constexpr index_t ThreadGemmDataPerReadN = 2;
using GemmABlockTransferThreadSliceLengths_GemmK_GemmM = Sequence<1, 1>;
using GemmABlockTransferThreadClusterLengths_GemmK_GemmM = Sequence<4, 16>;
constexpr index_t GemmABlockTransferSrcScalarPerVector_GemmK = 1;
constexpr index_t GemmABlockTransferDstScalarPerVector_GemmM = 1;
using GemmBBlockTransferThreadSliceLengths_GemmK_GemmN = Sequence<4, 1>;
using GemmBBlockTransferThreadClusterLengths_GemmK_GemmN = Sequence<1, 64>;
constexpr index_t GemmBBlockTransferSrcScalarPerVector_GemmN = 1;
constexpr index_t GemmBBlockTransferDstScalarPerVector_GemmN = 1;
constexpr index_t GemmCThreadTransferDstScalarPerVector_GemmN1 = 2;
#elif 0
// cdata = 16, BlockSize = 64, 16x64x4
// GemmBBlockCopySrcDataPerRead_GemmN = 4
// GemmCThreadCopyDstDataPerWrite_GemmN1 = 2
constexpr index_t BlockSize = 64;
constexpr index_t GemmMPerBlock = 16;
constexpr index_t GemmNPerBlock = 64;
constexpr index_t GemmKPerBlock = 4;
constexpr index_t GemmMPerThread = 2;
constexpr index_t GemmNPerThread = 2;
constexpr index_t GemmKPerThread = 1;
constexpr index_t GemmMLevel0Cluster = 2;
constexpr index_t GemmNLevel0Cluster = 2;
constexpr index_t GemmMLevel1Cluster = 2;
constexpr index_t GemmNLevel1Cluster = 8;
constexpr index_t ThreadGemmDataPerReadM = 2;
constexpr index_t ThreadGemmDataPerReadN = 2;
using GemmABlockTransferThreadSliceLengths_GemmK_GemmM = Sequence<1, 1>;
using GemmABlockTransferThreadClusterLengths_GemmK_GemmM = Sequence<4, 16>;
constexpr index_t GemmABlockTransferSrcScalarPerVector_GemmK = 1;
constexpr index_t GemmABlockTransferDstScalarPerVector_GemmM = 1;
using GemmBBlockTransferThreadSliceLengths_GemmK_GemmN = Sequence<1, 4>;
using GemmBBlockTransferThreadClusterLengths_GemmK_GemmN = Sequence<4, 16>;
constexpr index_t GemmBBlockTransferSrcScalarPerVector_GemmN = 4;
constexpr index_t GemmBBlockTransferDstScalarPerVector_GemmN = 4;
constexpr index_t GemmCThreadTransferDstScalarPerVector_GemmN1 = 2;
#elif 0
// cdata = 32, BlockSize = 64, 16x128x4
// GemmBBlockCopySrcDataPerRead_GemmN = 4
// GemmCThreadCopyDstDataPerWrite_GemmN1 = 4
constexpr index_t BlockSize = 64;
constexpr index_t GemmMPerBlock = 16;
constexpr index_t GemmNPerBlock = 128;
constexpr index_t GemmKPerBlock = 4;
constexpr index_t GemmMPerThread = 2;
constexpr index_t GemmNPerThread = 4;
constexpr index_t GemmKPerThread = 1;
constexpr index_t GemmMLevel0Cluster = 2;
constexpr index_t GemmNLevel0Cluster = 2;
constexpr index_t GemmMLevel1Cluster = 2;
constexpr index_t GemmNLevel1Cluster = 8;
constexpr index_t ThreadGemmDataPerReadM = 2;
constexpr index_t ThreadGemmDataPerReadN = 4;
using GemmABlockTransferThreadSliceLengths_GemmK_GemmM = Sequence<1, 1>;
using GemmABlockTransferThreadClusterLengths_GemmK_GemmM = Sequence<4, 16>;
constexpr index_t GemmABlockTransferSrcScalarPerVector_GemmK = 1;
constexpr index_t GemmABlockTransferDstScalarPerVector_GemmM = 1;
using GemmBBlockTransferThreadSliceLengths_GemmK_GemmN = Sequence<2, 4>;
using GemmBBlockTransferThreadClusterLengths_GemmK_GemmN = Sequence<2, 32>;
constexpr index_t GemmBBlockTransferSrcScalarPerVector_GemmN = 4;
constexpr index_t GemmBBlockTransferDstScalarPerVector_GemmN = 4;
constexpr index_t GemmCThreadTransferDstScalarPerVector_GemmN1 = 4;
#elif 0
// cdata = 64, BlockSize = 128, 32x256x8 // cdata = 64, BlockSize = 128, 32x256x8
constexpr index_t BlockSize = 128; constexpr index_t BlockSize = 128;
...@@ -75,14 +178,14 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4_nchw_kcyx_nkhw(InDesc ...@@ -75,14 +178,14 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4_nchw_kcyx_nkhw(InDesc
constexpr index_t GemmNPerBlock = 256; constexpr index_t GemmNPerBlock = 256;
constexpr index_t GemmKPerBlock = 8; constexpr index_t GemmKPerBlock = 8;
constexpr index_t GemmMPerThread = 4; constexpr index_t GemmMPerThread = 4;
constexpr index_t GemmNPerThread = 4; constexpr index_t GemmNPerThread = 4;
constexpr index_t GemmKPerThread = 1; constexpr index_t GemmKPerThread = 1;
constexpr index_t GemmMLevel0Cluster = 2; constexpr index_t GemmMLevel0Cluster = 2;
constexpr index_t GemmNLevel0Cluster = 2; constexpr index_t GemmNLevel0Cluster = 2;
constexpr index_t GemmMLevel1Cluster = 2; constexpr index_t GemmMLevel1Cluster = 2;
constexpr index_t GemmNLevel1Cluster = 16; constexpr index_t GemmNLevel1Cluster = 16;
constexpr index_t ThreadGemmDataPerReadM = 4; constexpr index_t ThreadGemmDataPerReadM = 4;
constexpr index_t ThreadGemmDataPerReadN = 4; constexpr index_t ThreadGemmDataPerReadN = 4;
...@@ -259,7 +362,7 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4_nchw_kcyx_nkhw(InDesc ...@@ -259,7 +362,7 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4_nchw_kcyx_nkhw(InDesc
constexpr auto conv_driver = constexpr auto conv_driver =
#if 1 #if 1
DriverDynamicConvolutionForwardImplicitGemm_v4r4_nchw_kcyx_nkhw_pad DriverDynamicConvolutionForwardImplicitGemm_v4r4_nchw_kcyx_nkhw_pad
#elif 1 #elif 0
DriverDynamicConvolutionForwardImplicitGemm_v4r4_nchw_kcyx_nkhw_no_pad DriverDynamicConvolutionForwardImplicitGemm_v4r4_nchw_kcyx_nkhw_no_pad
#elif 1 #elif 1
DriverDynamicConvolutionForwardImplicitGemm_v4r4_nchw_kcyx_nkhw_1x1 DriverDynamicConvolutionForwardImplicitGemm_v4r4_nchw_kcyx_nkhw_1x1
......
driver/include/device_dynamic_convolution_forward_implicit_gemm_v4r4_nhwc_kyxc_nhwk.hpp
View file @ c31867bd
...@@ -48,7 +48,7 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4_nhwc_kyxc_nhwk(InDesc ...@@ -48,7 +48,7 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4_nhwc_kyxc_nhwk(InDesc
constexpr auto Y = WeiDesc::GetLengths()[I2]; constexpr auto Y = WeiDesc::GetLengths()[I2];
constexpr auto X = WeiDesc::GetLengths()[I3]; constexpr auto X = WeiDesc::GetLengths()[I3];
#if 1 #if 0
// run-time variables // run-time variables
constexpr auto in_n_hi_wi_c_desc = constexpr auto in_n_hi_wi_c_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_multi_index(N, Hi, Wi, C)); make_dynamic_naive_tensor_descriptor_packed_v2(make_multi_index(N, Hi, Wi, C));
...@@ -110,6 +110,204 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4_nhwc_kyxc_nhwk(InDesc ...@@ -110,6 +110,204 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4_nhwc_kyxc_nhwk(InDesc
out_nhwk_device_buf.ToDevice(out_nhwk.mData.data()); out_nhwk_device_buf.ToDevice(out_nhwk.mData.data());
#if 0 #if 0
// cdata = 16, BlockSize = 64, 16x64x4
constexpr index_t BlockSize = 64;
constexpr index_t GemmMPerBlock = 16;
constexpr index_t GemmNPerBlock = 64;
constexpr index_t GemmKPerBlock = 4;
constexpr index_t GemmMPerThread = 2;
constexpr index_t GemmNPerThread = 2;
constexpr index_t GemmKPerThread = 1;
constexpr index_t GemmMLevel0Cluster = 2;
constexpr index_t GemmNLevel0Cluster = 2;
constexpr index_t GemmMLevel1Cluster = 2;
constexpr index_t GemmNLevel1Cluster = 8;
constexpr index_t ThreadGemmDataPerReadM = 2;
constexpr index_t ThreadGemmDataPerReadN = 2;
using GemmABlockTransferThreadSliceLengths_GemmK_GemmM = Sequence<1, 1>;
using GemmABlockTransferThreadClusterLengths_GemmK_GemmM = Sequence<4, 16>;
constexpr index_t GemmABlockTransferSrcScalarPerVector_GemmK = 1;
constexpr index_t GemmABlockTransferDstScalarPerVector_GemmM = 1;
using GemmBBlockTransferThreadSliceLengths_GemmK_GemmN = Sequence<4, 1>;
using GemmBBlockTransferThreadClusterLengths_GemmK_GemmN = Sequence<1, 64>;
constexpr index_t GemmBBlockTransferSrcScalarPerVector_GemmK = 4;
constexpr index_t GemmBBlockTransferDstScalarPerVector_GemmN = 1;
constexpr index_t GemmCThreadTransferDstScalarPerVector_GemmM1 = 2;
#elif 0
// cdata = 32, BlockSize = 64, 16x128x4
constexpr index_t BlockSize = 64;
constexpr index_t GemmMPerBlock = 16;
constexpr index_t GemmNPerBlock = 128;
constexpr index_t GemmKPerBlock = 4;
constexpr index_t GemmMPerThread = 2;
constexpr index_t GemmNPerThread = 4;
constexpr index_t GemmKPerThread = 1;
constexpr index_t GemmMLevel0Cluster = 2;
constexpr index_t GemmNLevel0Cluster = 2;
constexpr index_t GemmMLevel1Cluster = 2;
constexpr index_t GemmNLevel1Cluster = 8;
constexpr index_t ThreadGemmDataPerReadM = 2;
constexpr index_t ThreadGemmDataPerReadN = 4;
using GemmABlockTransferThreadSliceLengths_GemmK_GemmM = Sequence<1, 1>;
using GemmABlockTransferThreadClusterLengths_GemmK_GemmM = Sequence<4, 16>;
constexpr index_t GemmABlockTransferSrcScalarPerVector_GemmK = 1;
constexpr index_t GemmABlockTransferDstScalarPerVector_GemmM = 1;
using GemmBBlockTransferThreadSliceLengths_GemmK_GemmN = Sequence<4, 2>;
using GemmBBlockTransferThreadClusterLengths_GemmK_GemmN = Sequence<1, 64>;
constexpr index_t GemmBBlockTransferSrcScalarPerVector_GemmK = 4;
constexpr index_t GemmBBlockTransferDstScalarPerVector_GemmN = 1;
constexpr index_t GemmCThreadTransferDstScalarPerVector_GemmM1 = 2;
#elif 1
// cdata = 64, BlockSize = 64, 16x256x2
constexpr index_t BlockSize = 64;
constexpr index_t GemmMPerBlock = 16;
constexpr index_t GemmNPerBlock = 256;
constexpr index_t GemmKPerBlock = 2;
constexpr index_t GemmMPerThread = 4;
constexpr index_t GemmNPerThread = 4;
constexpr index_t GemmKPerThread = 1;
constexpr index_t GemmMLevel0Cluster = 1;
constexpr index_t GemmNLevel0Cluster = 2;
constexpr index_t GemmMLevel1Cluster = 2;
constexpr index_t GemmNLevel1Cluster = 16;
constexpr index_t ThreadGemmDataPerReadM = 4;
constexpr index_t ThreadGemmDataPerReadN = 4;
using GemmABlockTransferThreadSliceLengths_GemmK_GemmM = Sequence<1, 1>;
using GemmABlockTransferThreadClusterLengths_GemmK_GemmM = Sequence<2, 16>;
constexpr index_t GemmABlockTransferSrcScalarPerVector_GemmK = 1;
constexpr index_t GemmABlockTransferDstScalarPerVector_GemmM = 1;
using GemmBBlockTransferThreadSliceLengths_GemmK_GemmN = Sequence<2, 4>;
using GemmBBlockTransferThreadClusterLengths_GemmK_GemmN = Sequence<1, 64>;
constexpr index_t GemmBBlockTransferSrcScalarPerVector_GemmK = 2;
constexpr index_t GemmBBlockTransferDstScalarPerVector_GemmN = 1;
constexpr index_t GemmCThreadTransferDstScalarPerVector_GemmM1 = 4;
#elif 0
// cdata = 64, BlockSize = 64, 16x256x4
constexpr index_t BlockSize = 64;
constexpr index_t GemmMPerBlock = 16;
constexpr index_t GemmNPerBlock = 256;
constexpr index_t GemmKPerBlock = 4;
constexpr index_t GemmMPerThread = 4;
constexpr index_t GemmNPerThread = 4;
constexpr index_t GemmKPerThread = 1;
constexpr index_t GemmMLevel0Cluster = 1;
constexpr index_t GemmNLevel0Cluster = 2;
constexpr index_t GemmMLevel1Cluster = 2;
constexpr index_t GemmNLevel1Cluster = 16;
constexpr index_t ThreadGemmDataPerReadM = 4;
constexpr index_t ThreadGemmDataPerReadN = 4;
using GemmABlockTransferThreadSliceLengths_GemmK_GemmM = Sequence<1, 1>;
using GemmABlockTransferThreadClusterLengths_GemmK_GemmM = Sequence<4, 16>;
constexpr index_t GemmABlockTransferSrcScalarPerVector_GemmK = 1;
constexpr index_t GemmABlockTransferDstScalarPerVector_GemmM = 1;
using GemmBBlockTransferThreadSliceLengths_GemmK_GemmN = Sequence<4, 4>;
using GemmBBlockTransferThreadClusterLengths_GemmK_GemmN = Sequence<1, 64>;
constexpr index_t GemmBBlockTransferSrcScalarPerVector_GemmK = 4;
constexpr index_t GemmBBlockTransferDstScalarPerVector_GemmN = 1;
constexpr index_t GemmCThreadTransferDstScalarPerVector_GemmM1 = 4;
#elif 0
// cdata = 64, BlockSize = 128, 32x256x4
constexpr index_t BlockSize = 128;
constexpr index_t GemmMPerBlock = 32;
constexpr index_t GemmNPerBlock = 256;
constexpr index_t GemmKPerBlock = 4;
constexpr index_t GemmMPerThread = 4;
constexpr index_t GemmNPerThread = 4;
constexpr index_t GemmKPerThread = 1;
constexpr index_t GemmMLevel0Cluster = 2;
constexpr index_t GemmNLevel0Cluster = 2;
constexpr index_t GemmMLevel1Cluster = 2;
constexpr index_t GemmNLevel1Cluster = 16;
constexpr index_t ThreadGemmDataPerReadM = 4;
constexpr index_t ThreadGemmDataPerReadN = 4;
using GemmABlockTransferThreadSliceLengths_GemmK_GemmM = Sequence<1, 1>;
using GemmABlockTransferThreadClusterLengths_GemmK_GemmM = Sequence<4, 32>;
constexpr index_t GemmABlockTransferSrcScalarPerVector_GemmK = 1;
constexpr index_t GemmABlockTransferDstScalarPerVector_GemmM = 1;
using GemmBBlockTransferThreadSliceLengths_GemmK_GemmN = Sequence<4, 2>;
using GemmBBlockTransferThreadClusterLengths_GemmK_GemmN = Sequence<1, 128>;
constexpr index_t GemmBBlockTransferSrcScalarPerVector_GemmK = 4;
constexpr index_t GemmBBlockTransferDstScalarPerVector_GemmN = 1;
constexpr index_t GemmCThreadTransferDstScalarPerVector_GemmM1 = 4;
#elif 0
// cdata = 64, BlockSize = 128, 32x256x8
constexpr index_t BlockSize = 128;
constexpr index_t GemmMPerBlock = 32;
constexpr index_t GemmNPerBlock = 256;
constexpr index_t GemmKPerBlock = 8;
constexpr index_t GemmMPerThread = 4;
constexpr index_t GemmNPerThread = 4;
constexpr index_t GemmKPerThread = 1;
constexpr index_t GemmMLevel0Cluster = 2;
constexpr index_t GemmNLevel0Cluster = 2;
constexpr index_t GemmMLevel1Cluster = 2;
constexpr index_t GemmNLevel1Cluster = 16;
constexpr index_t ThreadGemmDataPerReadM = 4;
constexpr index_t ThreadGemmDataPerReadN = 4;
using GemmABlockTransferThreadSliceLengths_GemmK_GemmM = Sequence<2, 1>;
using GemmABlockTransferThreadClusterLengths_GemmK_GemmM = Sequence<4, 32>;
constexpr index_t GemmABlockTransferSrcScalarPerVector_GemmK = 2;
constexpr index_t GemmABlockTransferDstScalarPerVector_GemmM = 1;
using GemmBBlockTransferThreadSliceLengths_GemmK_GemmN = Sequence<8, 2>;
using GemmBBlockTransferThreadClusterLengths_GemmK_GemmN = Sequence<1, 128>;
constexpr index_t GemmBBlockTransferSrcScalarPerVector_GemmK = 8;
constexpr index_t GemmBBlockTransferDstScalarPerVector_GemmN = 1;
constexpr index_t GemmCThreadTransferDstScalarPerVector_GemmM1 = 4;
#elif 0
// cdata = 64, BlockSize = 256, 128x128x8 // cdata = 64, BlockSize = 256, 128x128x8
constexpr index_t BlockSize = 256; constexpr index_t BlockSize = 256;
...@@ -174,7 +372,7 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4_nhwc_kyxc_nhwk(InDesc ...@@ -174,7 +372,7 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4_nhwc_kyxc_nhwk(InDesc
constexpr auto conv_driver = constexpr auto conv_driver =
#if 1 #if 1
DriverDynamicConvolutionForwardImplicitGemm_v4r4_nhwc_kyxc_nhwk_pad DriverDynamicConvolutionForwardImplicitGemm_v4r4_nhwc_kyxc_nhwk_pad
#elif 1 #elif 0
DriverDynamicConvolutionForwardImplicitGemm_v4r4_nhwc_kyxc_nhwk_no_pad DriverDynamicConvolutionForwardImplicitGemm_v4r4_nhwc_kyxc_nhwk_no_pad
#elif 1 #elif 1
DriverDynamicConvolutionForwardImplicitGemm_v4r4_nhwc_kyxc_nhwk_1x1 DriverDynamicConvolutionForwardImplicitGemm_v4r4_nhwc_kyxc_nhwk_1x1
......
driver/src/conv_driver.cpp
View file @ c31867bd
...@@ -22,10 +22,80 @@ int main(int argc, char* argv[]) ...@@ -22,10 +22,80 @@ int main(int argc, char* argv[])
#if 0 #if 0
constexpr index_t N = 1; constexpr index_t N = 1;
constexpr index_t C = 32; constexpr index_t C = 4;
constexpr index_t HI = 1080;
constexpr index_t WI = 1920;
constexpr index_t K = 16;
constexpr index_t Y = 1;
constexpr index_t X = 1;
using ConvStrides = Sequence<1, 1>;
using ConvDilations = Sequence<1, 1>;
using LeftPads = Sequence<0, 0>;
using RightPads = Sequence<0, 0>;
#elif 0
constexpr index_t N = 1;
constexpr index_t C = 4;
constexpr index_t HI = 540; constexpr index_t HI = 540;
constexpr index_t WI = 960; constexpr index_t WI = 960;
constexpr index_t K = 32; constexpr index_t K = 16;
constexpr index_t Y = 1;
constexpr index_t X = 1;
using ConvStrides = Sequence<1, 1>;
using ConvDilations = Sequence<1, 1>;
using LeftPads = Sequence<0, 0>;
using RightPads = Sequence<0, 0>;
#elif 0
constexpr index_t N = 1;
constexpr index_t C = 4;
constexpr index_t HI = 270;
constexpr index_t WI = 480;
constexpr index_t K = 16;
constexpr index_t Y = 1;
constexpr index_t X = 1;
using ConvStrides = Sequence<1, 1>;
using ConvDilations = Sequence<1, 1>;
using LeftPads = Sequence<0, 0>;
using RightPads = Sequence<0, 0>;
#elif 1
constexpr index_t N = 1;
constexpr index_t C = 2;
constexpr index_t HI = 1080;
constexpr index_t WI = 1920;
constexpr index_t K = 16;
constexpr index_t Y = 3;
constexpr index_t X = 3;
using ConvStrides = Sequence<1, 1>;
using ConvDilations = Sequence<1, 1>;
using LeftPads = Sequence<1, 1>;
using RightPads = Sequence<1, 1>;
#elif 0
constexpr index_t N = 1;
constexpr index_t C = 4;
constexpr index_t HI = 540;
constexpr index_t WI = 960;
constexpr index_t K = 16;
constexpr index_t Y = 3;
constexpr index_t X = 3;
using ConvStrides = Sequence<1, 1>;
using ConvDilations = Sequence<1, 1>;
using LeftPads = Sequence<1, 1>;
using RightPads = Sequence<1, 1>;
#elif 1
constexpr index_t N = 1;
constexpr index_t C = 4;
constexpr index_t HI = 270;
constexpr index_t WI = 480;
constexpr index_t K = 16;
constexpr index_t Y = 3; constexpr index_t Y = 3;
constexpr index_t X = 3; constexpr index_t X = 3;
...@@ -616,7 +686,7 @@ int main(int argc, char* argv[]) ...@@ -616,7 +686,7 @@ int main(int argc, char* argv[])
LeftPads{}, LeftPads{},
RightPads{}, RightPads{},
nrepeat); nrepeat);
#elif 1 #elif 0
device_dynamic_convolution_forward_implicit_gemm_v4r4_nchw_kcyx_nkhw(in_nchw_desc, device_dynamic_convolution_forward_implicit_gemm_v4r4_nchw_kcyx_nkhw(in_nchw_desc,
in_nchw, in_nchw,
wei_kcyx_desc, wei_kcyx_desc,
......
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