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Commit f6ceef78 authored by ThomasNing's avatar ThomasNing
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merge with the develop branch

parents 536c5458 25935b57
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Showing with 747 additions and 95 deletions
codegen/test/grouped_conv_fwd_multiple_d_v2.cpp
View file @ f6ceef78
......@@ -92,7 +92,6 @@ struct Epilogue
static_cast<int>(prob.C),
static_cast<int>(prob.Y),
static_cast<int>(prob.X)};
ck::Array<ck::index_t, 5> d_lengths = {};
ck::Array<ck::index_t, 5> in_strides{static_cast<int>(prob.C),
static_cast<int>(prob.Hi * prob.Wi * prob.G * prob.C),
......@@ -109,7 +108,6 @@ struct Epilogue
1,
static_cast<int>(prob.X * prob.C),
static_cast<int>(prob.C)};
ck::Array<ck::index_t, 5> d_strides = {};
ck::Array<ck::index_t, 2> conv_filter_strides = {1, 1};
ck::Array<ck::index_t, 2> conv_filter_dilations = {1, 1};
......
codegen/test/grouped_conv_fwd_multiple_d_v3.cpp
View file @ f6ceef78
......@@ -92,7 +92,6 @@ struct Epilogue
static_cast<int>(prob.C),
static_cast<int>(prob.Y),
static_cast<int>(prob.X)};
ck::Array<ck::index_t, 5> d_lengths = {};
ck::Array<ck::index_t, 5> in_strides{static_cast<int>(prob.C),
static_cast<int>(prob.Hi * prob.Wi * prob.G * prob.C),
......@@ -109,7 +108,6 @@ struct Epilogue
1,
static_cast<int>(prob.X * prob.C),
static_cast<int>(prob.C)};
ck::Array<ck::index_t, 5> d_strides = {};
ck::Array<ck::index_t, 2> conv_filter_strides = {2, 2};
ck::Array<ck::index_t, 2> conv_filter_dilations = {1, 1};
......
codegen/test/grouped_conv_fwd_multiple_d_v4.cpp
View file @ f6ceef78
......@@ -92,7 +92,6 @@ struct Epilogue
static_cast<int>(prob.C),
static_cast<int>(prob.Y),
static_cast<int>(prob.X)};
ck::Array<ck::index_t, 5> d_lengths = {};
ck::Array<ck::index_t, 5> in_strides{static_cast<int>(prob.C),
static_cast<int>(prob.Hi * prob.Wi * prob.G * prob.C),
......@@ -109,7 +108,6 @@ struct Epilogue
1,
static_cast<int>(prob.X * prob.C),
static_cast<int>(prob.C)};
ck::Array<ck::index_t, 5> d_strides = {};
ck::Array<ck::index_t, 2> conv_filter_strides = {1, 1};
ck::Array<ck::index_t, 2> conv_filter_dilations = {1, 1};
......
codegen/test/rtc/CMakeLists.txt
View file @ f6ceef78
find_package(hip)
file(GLOB RTC_SOURCES CONFIGURE_DEPENDS src/*.cpp)
add_library(ck_rtc ${RTC_SOURCES})
target_include_directories(ck_rtc PUBLIC include)
......
docs/sphinx/requirements.in
View file @ f6ceef78
rocm-docs-core==1.6.0
rocm-docs-core==1.7.2
sphinxcontrib-bibtex==2.6.2
docs/sphinx/requirements.txt
View file @ f6ceef78
......@@ -4,33 +4,33 @@
#
# pip-compile requirements.in
#
accessible-pygments==0.0.3
accessible-pygments==0.0.5
# via pydata-sphinx-theme
alabaster==0.7.13
alabaster==0.7.16
# via sphinx
babel==2.12.1
babel==2.15.0
# via
# pydata-sphinx-theme
# sphinx
beautifulsoup4==4.11.2
beautifulsoup4==4.12.3
# via pydata-sphinx-theme
breathe==4.34.0
breathe==4.35.0
# via rocm-docs-core
certifi==2023.7.22
certifi==2024.7.4
# via requests
cffi==1.15.1
cffi==1.16.0
# via
# cryptography
# pynacl
charset-normalizer==3.1.0
charset-normalizer==3.3.2
# via requests
click==8.1.3
click==8.1.7
# via sphinx-external-toc
cryptography==41.0.6
cryptography==43.0.0
# via pyjwt
deprecated==1.2.13
deprecated==1.2.14
# via pygithub
docutils==0.16
docutils==0.21.2
# via
# breathe
# myst-parser
......@@ -38,35 +38,35 @@ docutils==0.16
# pydata-sphinx-theme
# sphinx
# sphinxcontrib-bibtex
fastjsonschema==2.18.0
fastjsonschema==2.20.0
# via rocm-docs-core
gitdb==4.0.10
gitdb==4.0.11
# via gitpython
gitpython==3.1.37
gitpython==3.1.43
# via rocm-docs-core
idna==3.4
idna==3.7
# via requests
imagesize==1.4.1
# via sphinx
jinja2==3.1.2
jinja2==3.1.4
# via
# myst-parser
# sphinx
latexcodec==2.0.1
latexcodec==3.0.0
# via pybtex
markdown-it-py==2.2.0
markdown-it-py==3.0.0
# via
# mdit-py-plugins
# myst-parser
markupsafe==2.1.2
markupsafe==2.1.5
# via jinja2
mdit-py-plugins==0.3.5
mdit-py-plugins==0.4.1
# via myst-parser
mdurl==0.1.2
# via markdown-it-py
myst-parser==1.0.0
myst-parser==3.0.1
# via rocm-docs-core
packaging==23.0
packaging==24.1
# via
# pydata-sphinx-theme
# sphinx
......@@ -74,48 +74,46 @@ pybtex==0.24.0
# via
# pybtex-docutils
# sphinxcontrib-bibtex
pybtex-docutils==1.0.2
pybtex-docutils==1.0.3
# via sphinxcontrib-bibtex
pycparser==2.21
pycparser==2.22
# via cffi
pydata-sphinx-theme==0.13.3
pydata-sphinx-theme==0.15.4
# via
# rocm-docs-core
# sphinx-book-theme
pygithub==1.58.1
pygithub==2.3.0
# via rocm-docs-core
pygments==2.15.0
pygments==2.18.0
# via
# accessible-pygments
# pydata-sphinx-theme
# sphinx
pyjwt[crypto]==2.6.0
pyjwt[crypto]==2.8.0
# via pygithub
pynacl==1.5.0
# via pygithub
pyyaml==6.0
pyyaml==6.0.1
# via
# myst-parser
# pybtex
# rocm-docs-core
# sphinx-external-toc
requests==2.31.0
requests==2.32.3
# via
# pygithub
# sphinx
rocm-docs-core==1.6.0
rocm-docs-core==1.7.2
# via -r requirements.in
six==1.16.0
# via
# latexcodec
# pybtex
smmap==5.0.0
# via pybtex
smmap==5.0.1
# via gitdb
snowballstemmer==2.2.0
# via sphinx
soupsieve==2.4
soupsieve==2.5
# via beautifulsoup4
sphinx==5.3.0
sphinx==7.4.7
# via
# breathe
# myst-parser
......@@ -127,33 +125,39 @@ sphinx==5.3.0
# sphinx-external-toc
# sphinx-notfound-page
# sphinxcontrib-bibtex
sphinx-book-theme==1.0.1
sphinx-book-theme==1.1.3
# via rocm-docs-core
sphinx-copybutton==0.5.1
sphinx-copybutton==0.5.2
# via rocm-docs-core
sphinx-design==0.4.1
sphinx-design==0.6.0
# via rocm-docs-core
sphinx-external-toc==0.3.1
sphinx-external-toc==1.0.1
# via rocm-docs-core
sphinx-notfound-page==0.8.3
sphinx-notfound-page==1.0.3
# via rocm-docs-core
sphinxcontrib-applehelp==1.0.4
sphinxcontrib-applehelp==2.0.0
# via sphinx
sphinxcontrib-bibtex==2.6.2
# via -r requirements.in
sphinxcontrib-devhelp==1.0.2
sphinxcontrib-devhelp==2.0.0
# via sphinx
sphinxcontrib-htmlhelp==2.0.1
sphinxcontrib-htmlhelp==2.1.0
# via sphinx
sphinxcontrib-jsmath==1.0.1
# via sphinx
sphinxcontrib-qthelp==1.0.3
sphinxcontrib-qthelp==2.0.0
# via sphinx
sphinxcontrib-serializinghtml==1.1.5
sphinxcontrib-serializinghtml==2.0.0
# via sphinx
typing-extensions==4.5.0
# via pydata-sphinx-theme
urllib3==1.26.18
# via requests
wrapt==1.15.0
tomli==2.0.1
# via sphinx
typing-extensions==4.12.2
# via
# pydata-sphinx-theme
# pygithub
urllib3==2.2.2
# via
# pygithub
# requests
wrapt==1.16.0
# via deprecated
example/01_gemm/gemm_xdl_fp8.cpp
View file @ f6ceef78
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
#include "common.hpp"
......@@ -7,7 +7,7 @@
using ADataType = ck::f8_t;
using BDataType = ck::f8_t;
using CDataType = ck::half_t;
using CDataType = ck::f8_t;
using AccDataType = float;
using CShuffleDataType = float;
......
example/01_gemm/run_gemm_example.inc
View file @ f6ceef78
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
......@@ -34,11 +34,11 @@ inline __host__ __device__ constexpr double get_rtol()
}
else if constexpr(std::is_same_v<DataType, ck::f8_t>)
{
return 1e-1; // 240 and 224 are acceptable
return 2e-1;
}
else if constexpr(std::is_same_v<DataType, ck::bf8_t>)
{
return 1.5e-1; // 57344 and 49152 are acceptable
return 2e-1;
}
else
{
......@@ -75,11 +75,11 @@ inline __host__ __device__ constexpr double get_atol()
}
else if constexpr(std::is_same_v<DataType, ck::f8_t>)
{
return 16.1; // 240 and 224 are acceptable
return 2e-1;
}
else if constexpr(std::is_same_v<DataType, ck::bf8_t>)
{
return 8192.1; // 57344 and 49152 are acceptable
return 2e-1;
}
else
{
......
example/10_convnd_fwd_multiple_d_multiple_reduce/common.hpp
View file @ f6ceef78
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
#include <algorithm>
#include <cassert>
......@@ -139,7 +139,7 @@ inline bool parse_cmd_args(int argc,
inline HostTensorDescriptor
make_r0_host_tensor_descriptor(const ck::utils::conv::ConvParam& problem_size)
{
std::vector<ck::index_t> dimensions{problem_size.G_, problem_size.N_};
std::vector<ck::long_index_t> dimensions{problem_size.G_, problem_size.N_};
ck::ranges::copy(problem_size.output_spatial_lengths_, std::back_inserter(dimensions));
......
example/12_reduce/reduce_blockwise.cpp
View file @ f6ceef78
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
#include <iostream>
#include <initializer_list>
......@@ -255,34 +255,61 @@ int main(int argc, char* argv[])
else
{
// for testing half_t
pass =
pass && reduce_blockwise_test<ck::half_t, float, ReduceOpId, PropagateNan, OutputIndex>(
true, 2, true, {3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3}, {0, 1, 2}, 1.0f, 0.0f);
pass =
pass && reduce_blockwise_test<ck::half_t, float, ReduceOpId, PropagateNan, OutputIndex>(
true, 2, true, {16, 64, 32, 960}, {0, 1, 2}, 1.0f, 0.0f);
// for testing float
pass =
pass && reduce_blockwise_test<float, float, ReduceOpId, PropagateNan, OutputIndex>(
true, 2, true, {3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3}, {0, 1, 2}, 1.0f, 0.0f);
pass = pass && reduce_blockwise_test<float, float, ReduceOpId, PropagateNan, OutputIndex>(
true, 2, true, {16, 64, 32, 960}, {0, 1, 2}, 1.0f, 0.0f);
// for testing double
pass =
pass && reduce_blockwise_test<float, float, ReduceOpId, PropagateNan, OutputIndex>(
true, 2, true, {3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3}, {0, 1, 2}, 1.0f, 0.0f);
pass = pass && reduce_blockwise_test<float, float, ReduceOpId, PropagateNan, OutputIndex>(
true, 2, true, {16, 64, 32, 960}, {0, 1, 2}, 1.0f, 0.0f);
// for testing bhalf_t
pass = pass &&
reduce_blockwise_test<ck::bhalf_t, float, ReduceOpId, PropagateNan, OutputIndex>(
true, 2, true, {3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3}, {0, 1, 2}, 1.0f, 0.0f);
pass = pass &&
reduce_blockwise_test<ck::bhalf_t, float, ReduceOpId, PropagateNan, OutputIndex>(
true, 2, true, {16, 64, 32, 960}, {0, 1, 2}, 1.0f, 0.0f);
// for testing int8_t
pass =
pass && reduce_blockwise_test<int8_t, int32_t, ReduceOpId, PropagateNan, OutputIndex>(
true, 2, true, {3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3}, {0, 1, 2}, 1.0f, 0.0f);
pass =
pass && reduce_blockwise_test<int8_t, int32_t, ReduceOpId, PropagateNan, OutputIndex>(
true, 2, true, {16, 64, 32, 960}, {0, 1, 2}, 1.0f, 0.0f);
#ifdef CK_EXPERIMENTAL_BIT_INT_EXTENSION_INT4
// for testing int4_t using AVG operation
pass =
pass && reduce_blockwise_test<int4_t, int32_t, ReduceTensorOp::AVG, false, false>(
true, 2, true, {3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3}, {0, 1, 2}, 1.0f, 0.0f);
pass = pass && reduce_blockwise_test<int4_t, int32_t, ReduceTensorOp::AVG, false, false>(
true, 2, true, {16, 64, 32, 960}, {0, 1, 2}, 1.0f, 0.0f);
// for testing int4_t using MAX operation
pass =
pass && reduce_blockwise_test<int4_t, int8_t, ReduceTensorOp::MAX, false, false>(
true, 2, true, {3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3}, {0, 1, 2}, 1.0f, 0.0f);
pass = pass && reduce_blockwise_test<int4_t, int8_t, ReduceTensorOp::MAX, false, false>(
true, 2, true, {16, 64, 32, 960}, {0, 1, 2}, 1.0f, 0.0f);
#endif
......
example/12_reduce/reduce_blockwise_impl.hpp
View file @ f6ceef78
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
......@@ -316,7 +316,17 @@ int reduce_blockwise_impl(bool do_verification,
auto invoker_ptr = reduce.MakeInvokerPointer();
float avg_time = invoker_ptr->Run(argument_ptr.get(), StreamConfig{nullptr, time_kernel});
int log_level = 0, cold_niters = 5, nrepeat = 50;
if(beta != 0.0f)
{
std::cerr << "Warning: With beta != 0.0f there must be only one repeat for correct results "
"since out memory is being overwritten."
<< std::endl;
cold_niters = 0;
nrepeat = 1;
}
float avg_time = invoker_ptr->Run(
argument_ptr.get(), StreamConfig{nullptr, time_kernel, log_level, cold_niters, nrepeat});
std::size_t num_bytes = invariant_total_length * reduce_total_length * sizeof(InOutDataType) +
invariant_total_length * sizeof(InOutDataType);
......
example/12_reduce/reduce_example_common.hpp
View file @ f6ceef78
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
......@@ -38,7 +38,8 @@ struct ReduceShape
static constexpr ck::index_t NumReduceDim_ = NumReduceDim;
};
using reduce_shape_instances = std::tuple<ReduceShape<3, 1>,
using reduce_shape_instances = std::tuple<ReduceShape<12, 3>,
ReduceShape<3, 1>,
ReduceShape<3, 2>,
ReduceShape<4, 1>,
ReduceShape<4, 2>,
......
example/17_convnd_bwd_data/convnd_bwd_data_common.hpp
View file @ f6ceef78
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
#include <iostream>
#include <numeric>
......@@ -80,6 +80,29 @@ int run_conv_bwd_data(bool do_verification,
// reset input to zero
in_device_buf.SetZero();
std::vector<ck::index_t> input_spatial_lengths_i32(NDimSpatial);
std::vector<ck::index_t> filter_spatial_lengths_i32(NDimSpatial);
std::vector<ck::index_t> output_spatial_lengths_i32(NDimSpatial);
std::vector<ck::index_t> conv_filter_strides_i32(NDimSpatial);
std::vector<ck::index_t> conv_filter_dilations_i32(NDimSpatial);
std::vector<ck::index_t> input_left_pads_i32(NDimSpatial);
std::vector<ck::index_t> input_right_pads_i32(NDimSpatial);
for(ck::index_t d = 0; d < NDimSpatial; d++)
{
input_spatial_lengths_i32[d] =
static_cast<ck::index_t>(conv_param.input_spatial_lengths_[d]);
filter_spatial_lengths_i32[d] =
static_cast<ck::index_t>(conv_param.filter_spatial_lengths_[d]);
output_spatial_lengths_i32[d] =
static_cast<ck::index_t>(conv_param.GetOutputSpatialLengths()[d]);
conv_filter_strides_i32[d] = static_cast<ck::index_t>(conv_param.conv_filter_strides_[d]);
conv_filter_dilations_i32[d] =
static_cast<ck::index_t>(conv_param.conv_filter_dilations_[d]);
input_left_pads_i32[d] = static_cast<ck::index_t>(conv_param.input_left_pads_[d]);
input_right_pads_i32[d] = static_cast<ck::index_t>(conv_param.input_right_pads_[d]);
}
// do GEMM
auto conv = DeviceConvNdBwdDataInstance{};
auto invoker = conv.MakeInvoker();
......@@ -87,16 +110,16 @@ int run_conv_bwd_data(bool do_verification,
conv.MakeArgumentPointer(static_cast<InDataType*>(in_device_buf.GetDeviceBuffer()),
static_cast<WeiDataType*>(wei_device_buf.GetDeviceBuffer()),
static_cast<OutDataType*>(out_device_buf.GetDeviceBuffer()),
conv_param.N_,
conv_param.K_,
conv_param.C_,
conv_param.input_spatial_lengths_,
conv_param.filter_spatial_lengths_,
conv_param.GetOutputSpatialLengths(),
conv_param.conv_filter_strides_,
conv_param.conv_filter_dilations_,
conv_param.input_left_pads_,
conv_param.input_right_pads_,
static_cast<ck::index_t>(conv_param.N_),
static_cast<ck::index_t>(conv_param.K_),
static_cast<ck::index_t>(conv_param.C_),
input_spatial_lengths_i32,
filter_spatial_lengths_i32,
output_spatial_lengths_i32,
conv_filter_strides_i32,
conv_filter_dilations_i32,
input_left_pads_i32,
input_right_pads_i32,
in_element_op,
wei_element_op,
out_element_op);
......
example/20_grouped_conv_bwd_weight/common.hpp
View file @ f6ceef78
......@@ -23,12 +23,8 @@
using BF16 = ck::bhalf_t;
using F16 = ck::half_t;
using F32 = float;
#ifdef CK_ENABLE_FP8
using F8 = ck::f8_t;
#endif
#ifdef CK_ENABLE_BF8
using BF8 = ck::bf8_t;
#endif
template <ck::index_t... Is>
using S = ck::Sequence<Is...>;
......
example/62_convnd_activ/CMakeLists.txt
View file @ f6ceef78
......@@ -3,6 +3,7 @@ add_subdirectory(convinvscale)
add_subdirectory(convscale)
add_subdirectory(convscale_relu)
add_subdirectory(convscale_add)
add_subdirectory(convscale_reduce)
add_subdirectory(multi_AB)
add_subdirectory(unary)
......
example/62_convnd_activ/convscale_reduce/CMakeLists.txt 0 → 100644
View file @ f6ceef78
list(APPEND gpu_list gfx908 gfx90a gfx940 gfx941 gfx942)
set(target 0)
foreach(gpu IN LISTS GPU_TARGETS)
if(gpu IN_LIST gpu_list AND target EQUAL 0)
add_custom_target(example_convnd_activ_xdl_convscale_reduce)
add_example_executable(example_convnd_fwd_xdl_convscale_relu_amax_fp8 convnd_fwd_xdl_convscale_relu_amax_fp8.cpp)
add_example_dependencies(example_convnd_activ_xdl_convscale_reduce example_convnd_fwd_xdl_convscale_relu_amax_fp8)
add_example_executable(example_convnd_fwd_xdl_convscale_amax_fp8 convnd_fwd_xdl_convscale_amax_fp8.cpp)
add_example_dependencies(example_convnd_activ_xdl_convscale_reduce example_convnd_fwd_xdl_convscale_amax_fp8)
set(target 1)
endif()
endforeach()
example/62_convnd_activ/convscale_reduce/convnd_fwd_xdl_convscale_amax_fp8.cpp 0 → 100644
View file @ f6ceef78
// SPDX-License-Identifier: MIT
// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
#include "convnd_fwd_convscale_reduce_common.hpp"
#include "ck/tensor_operation/gpu/device/impl/device_grouped_conv_fwd_multiple_abd_xdl_cshuffle.hpp"
using InDataType = ck::f8_t;
using WeiDataType = ck::f8_t;
using AccDataType = float;
using CShuffleDataType = float;
using ConvOutDataType = float; // data type of convolution result
using OutDataType = ck::f8_t; // data type of final result
using AComputeDataType = ck::f8_t;
using BComputeDataType = ck::f8_t;
template <ck::index_t... Is>
using S = ck::Sequence<Is...>;
using InElementOp = PassThrough;
using WeiElementOp = PassThrough;
using OutElementOp = ConvScale;
static constexpr auto ConvSpec =
ck::tensor_operation::device::ConvolutionForwardSpecialization::Default;
static constexpr auto GemmSpec = ck::tensor_operation::device::GemmSpecialization::MNKPadding;
template <ck::index_t NDimSpatial, typename InLayout, typename WeiLayout, typename OutLayout>
using DeviceGroupedConvNDFwdInstance =
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleABD_Xdl_CShuffle<
NDimSpatial,
InLayout,
WeiLayout,
ck::Tuple<>,
OutLayout,
InDataType,
WeiDataType,
AccDataType,
CShuffleDataType,
ck::Tuple<>,
ConvOutDataType,
InElementOp,
WeiElementOp,
OutElementOp,
ConvSpec, // ConvForwardSpecialization
GemmSpec, // GemmSpecialization
1, //
256, // BlockSize
128, // MPerBlock
256, // NPerBlock
32, // KPerBlock
8, // AK1
8, // BK1
32, // MPerXdl
32, // NPerXdl
2, // MXdlPerWave
4, // NXdlPerWave
S<4, 64, 1>, // ABlockTransferThreadClusterLengths_AK0_M_AK1
S<1, 0, 2>, // ABlockTransferThreadClusterArrangeOrder
S<1, 0, 2>, // ABlockTransferSrcAccessOrder
2, // ABlockTransferSrcVectorDim
8, // ABlockTransferSrcScalarPerVector
8, // ABlockTransferDstScalarPerVector_AK1
1, // ABlockLdsExtraM
S<4, 64, 1>, // BBlockTransferThreadClusterLengths_BK0_N_BK1
S<1, 0, 2>, // BBlockTransferThreadClusterArrangeOrder
S<1, 0, 2>, // BBlockTransferSrcAccessOrder
2, // BBlockTransferSrcVectorDim
8, // BBlockTransferSrcScalarPerVector
8, // BBlockTransferDstScalarPerVector_BK1
1, // BBlockLdsExtraN
1,
1,
S<1, 32, 1, 8>,
8,
AComputeDataType,
BComputeDataType>;
#include "run_convnd_fwd_example.inc"
int main(int argc, char* argv[]) { return run_convnd_fwd_example(argc, argv) ? 0 : 1; }
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