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Adding Missed Activation Functions for Grouped 2D/3D Convolutions (#1348)

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[ROCm/composable_kernel commit: 0162a5f6ba]
This commit is contained in:
ThruptiRajLakshmanaGowda
2024-06-20 09:24:54 -05:00
committed by GitHub
parent c70758ca61
commit 428cefd1b5
5 changed files with 61 additions and 0 deletions
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10
example/62_convnd_activ/unary/CMakeLists.txt
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@@ -30,6 +30,16 @@ foreach(gpu IN LISTS GPU_TARGETS)
# Elu
add_example_executable(example_convnd_fwd_xdl_elu_fp16 convnd_fwd_xdl_elu_fp16.cpp)
add_example_dependencies(example_convnd_activ_unary_xdl example_convnd_fwd_xdl_elu_fp16)
# Swish
add_example_executable(example_convnd_fwd_xdl_swish_fp16 convnd_fwd_xdl_swish_fp16.cpp)
add_example_dependencies(example_convnd_activ_unary_xdl example_convnd_fwd_xdl_swish_fp16)
# PassThrough
add_example_executable(example_convnd_fwd_xdl_passthrough_fp16 convnd_fwd_xdl_passthrough_fp16.cpp)
add_example_dependencies(example_convnd_activ_unary_xdl example_convnd_fwd_xdl_passthrough_fp16)
# Logistic
add_example_executable(example_convnd_fwd_xdl_logistic_fp16 convnd_fwd_xdl_logistic_fp16.cpp)
add_example_dependencies(example_convnd_activ_unary_xdl example_convnd_fwd_xdl_logistic_fp16)
set(target 1)
endif()
endforeach()

11
example/62_convnd_activ/unary/convnd_fwd_xdl_logistic_fp16.cpp Normal file
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@@ -0,0 +1,11 @@
// SPDX-License-Identifier: MIT
// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
#include "convnd_fwd_activ_unary_common.hpp"
using OutElementOp = ck::tensor_operation::element_wise::Logistic;
using DeviceGroupedConvNDActivInstance = DeviceGroupedConvNDFwdInstance<OutElementOp>;
#include "../run_convnd_activ_example.inc"
int main(int argc, char* argv[]) { return !run_convnd_example(argc, argv); }

11
example/62_convnd_activ/unary/convnd_fwd_xdl_passthrough_fp16.cpp Normal file
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@@ -0,0 +1,11 @@
// SPDX-License-Identifier: MIT
// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
#include "convnd_fwd_activ_unary_common.hpp"
using OutElementOp = ck::tensor_operation::element_wise::PassThrough;
using DeviceGroupedConvNDActivInstance = DeviceGroupedConvNDFwdInstance<OutElementOp>;
#include "../run_convnd_activ_example.inc"
int main(int argc, char* argv[]) { return !run_convnd_example(argc, argv); }

11
example/62_convnd_activ/unary/convnd_fwd_xdl_swish_fp16.cpp Normal file
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@@ -0,0 +1,11 @@
// SPDX-License-Identifier: MIT
// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
#include "convnd_fwd_activ_unary_common.hpp"
using OutElementOp = ck::tensor_operation::element_wise::Swish;
using DeviceGroupedConvNDActivInstance = DeviceGroupedConvNDFwdInstance<OutElementOp>;
#include "../run_convnd_activ_example.inc"
int main(int argc, char* argv[]) { return !run_convnd_example(argc, argv); }

18
include/ck/tensor_operation/gpu/element/unary_element_wise_operation.hpp
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@@ -961,6 +961,24 @@ struct Elu
const float alpha_;
};
struct Logistic
{
Logistic(float alpha = 1.f) : alpha_(alpha){};
template <typename T>
__host__ __device__ void operator()(T& y, const T& x) const
{
static_assert(is_same<T, float>::value || is_same<T, double>::value ||
is_same<T, half_t>::value || is_same<T, int32_t>::value ||
is_same<T, int8_t>::value,
"Data type is not supported by this operation!");
T casted_alpha = type_convert<T>(alpha_);
constexpr T one = type_convert<T>(1);
y = casted_alpha / (one + ck::math::exp(-x) * casted_alpha);
}
const float alpha_;
};
struct ConvInvscale
{
__host__ __device__ ConvInvscale(float scale_in = 1.f,