mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-20 21:09:08 +00:00
Merge commit 'f6c2ff9dcedbc58065ae1fc10a661f00716c6839' into develop
This commit is contained in:
@@ -252,7 +252,7 @@ add_subdirectory(reduce)
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add_subdirectory(convnd_fwd)
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add_subdirectory(convnd_bwd_data)
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add_subdirectory(grouped_convnd_fwd)
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add_subdirectory(grouped_convnd_fwd_bias_clamp)
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add_subdirectory(grouped_convnd_fwd_activation)
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add_subdirectory(grouped_convnd_bwd_weight)
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add_subdirectory(block_to_ctile_map)
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add_subdirectory(softmax)
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10
test/grouped_convnd_fwd_activation/CMakeLists.txt
Normal file
10
test/grouped_convnd_fwd_activation/CMakeLists.txt
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@@ -0,0 +1,10 @@
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if(GPU_TARGETS MATCHES "gfx9")
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add_gtest_executable(test_grouped_convnd_fwd_bias_clamp test_grouped_convnd_fwd_bias_clamp.cpp)
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target_link_libraries(test_grouped_convnd_fwd_bias_clamp PRIVATE utility device_grouped_conv2d_fwd_bias_clamp_instance device_grouped_conv3d_fwd_bias_clamp_instance)
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add_gtest_executable(test_grouped_convnd_fwd_gk_bias_clamp test_grouped_convnd_fwd_gk_bias_clamp.cpp)
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target_link_libraries(test_grouped_convnd_fwd_gk_bias_clamp PRIVATE utility device_grouped_conv2d_fwd_bias_clamp_instance device_grouped_conv3d_fwd_bias_clamp_instance)
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add_gtest_executable(test_grouped_convnd_fwd_clamp test_grouped_convnd_fwd_clamp.cpp)
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target_link_libraries(test_grouped_convnd_fwd_clamp PRIVATE utility device_grouped_conv2d_fwd_clamp_instance device_grouped_conv3d_fwd_clamp_instance)
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endif()
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@@ -41,7 +41,8 @@ class TestGroupedConvndFwd : public ::testing::Test
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DataType,
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DataType,
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DataType,
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IndexType>(
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IndexType,
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false /*BiasGK*/>(
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true, // do_verification
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1, // init_method: integer value
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false, // do_log
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@@ -0,0 +1,95 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
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#include <cstdlib>
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#include <iostream>
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#include <initializer_list>
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#include <vector>
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#include <gtest/gtest.h>
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#include "profiler/profile_grouped_conv_fwd_impl.hpp"
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#include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"
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using Clamp = ck::tensor_operation::element_wise::Clamp;
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template <typename Tuple>
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class TestGroupedConvndFwd : public ::testing::Test
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{
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protected:
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using DataType = std::tuple_element_t<0, Tuple>;
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using InLayout = std::tuple_element_t<1, Tuple>;
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using WeiLayout = std::tuple_element_t<2, Tuple>;
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using OutLayout = std::tuple_element_t<3, Tuple>;
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using IndexType = ck::index_t;
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std::vector<ck::utils::conv::ConvParam> conv_params;
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template <ck::index_t NDimSpatial>
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void Run()
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{
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EXPECT_FALSE(conv_params.empty());
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bool pass = true;
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Clamp out_element_op{0.f, 256.f};
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for(auto& param : conv_params)
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{
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pass = pass && ck::profiler::profile_grouped_conv_fwd_impl<NDimSpatial,
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InLayout,
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WeiLayout,
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OutLayout,
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DataType,
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DataType,
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DataType,
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DataType,
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DataType,
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IndexType,
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Clamp>(
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true, // do_verification
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1, // init_method: integer value
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false, // do_log
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false, // time_kernel
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param,
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out_element_op);
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}
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EXPECT_TRUE(pass);
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}
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};
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using namespace ck::tensor_layout::convolution;
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using KernelTypes2d = ::testing::Types<std::tuple<ck::bhalf_t, NHWGC, GKYXC, NHWGK>>;
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using KernelTypes3d = ::testing::Types<std::tuple<ck::bhalf_t, NDHWGC, GKZYXC, NDHWGK>>;
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template <typename Tuple>
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class TestGroupedConvndFwd2d : public TestGroupedConvndFwd<Tuple>
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{
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};
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template <typename Tuple>
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class TestGroupedConvndFwd3d : public TestGroupedConvndFwd<Tuple>
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{
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};
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TYPED_TEST_SUITE(TestGroupedConvndFwd2d, KernelTypes2d);
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TYPED_TEST_SUITE(TestGroupedConvndFwd3d, KernelTypes3d);
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TYPED_TEST(TestGroupedConvndFwd2d, Test2D)
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{
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this->conv_params.clear();
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this->conv_params.push_back(
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{2, 2, 32, 128, 256, {1, 1}, {7, 7}, {2, 2}, {1, 1}, {0, 0}, {0, 0}});
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this->conv_params.push_back(
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{2, 2, 32, 128, 256, {3, 3}, {14, 14}, {1, 1}, {1, 1}, {1, 1}, {1, 1}});
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this->template Run<2>();
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}
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TYPED_TEST(TestGroupedConvndFwd3d, Test3D)
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{
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this->conv_params.clear();
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this->conv_params.push_back(
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{3, 2, 32, 128, 256, {1, 1, 1}, {7, 7, 7}, {2, 2, 2}, {1, 1, 1}, {0, 0, 0}, {0, 0, 0}});
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this->conv_params.push_back(
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{3, 2, 32, 128, 256, {3, 3, 3}, {14, 14, 3}, {1, 1, 1}, {1, 1, 1}, {1, 1, 1}, {1, 1, 1}});
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this->template Run<3>();
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}
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@@ -0,0 +1,93 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
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#include <cstdlib>
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#include <iostream>
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#include <initializer_list>
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#include <vector>
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#include <gtest/gtest.h>
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#include "profiler/profile_grouped_conv_fwd_bias_clamp_impl.hpp"
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#include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"
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using AddClamp = ck::tensor_operation::element_wise::AddClamp;
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template <typename Tuple>
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class TestGroupedConvndFwd : public ::testing::Test
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{
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protected:
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using DataType = std::tuple_element_t<0, Tuple>;
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using InLayout = std::tuple_element_t<1, Tuple>;
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using WeiLayout = std::tuple_element_t<2, Tuple>;
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using OutLayout = std::tuple_element_t<3, Tuple>;
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using IndexType = ck::index_t;
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std::vector<ck::utils::conv::ConvParam> conv_params;
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template <ck::index_t NDimSpatial>
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void Run()
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{
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EXPECT_FALSE(conv_params.empty());
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bool pass = true;
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for(auto& param : conv_params)
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{
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pass = pass && ck::profiler::profile_grouped_conv_fwd_bias_clamp_impl<NDimSpatial,
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InLayout,
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WeiLayout,
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OutLayout,
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DataType,
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DataType,
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DataType,
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DataType,
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DataType,
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IndexType,
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true /*BiasGK*/>(
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true, // do_verification
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1, // init_method: integer value
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false, // do_log
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false, // time_kernel
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param);
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}
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EXPECT_TRUE(pass);
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}
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};
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using namespace ck::tensor_layout::convolution;
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using KernelTypes2d = ::testing::Types<std::tuple<ck::bhalf_t, NHWGC, GKYXC, NHWGK>>;
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using KernelTypes3d = ::testing::Types<std::tuple<ck::bhalf_t, NDHWGC, GKZYXC, NDHWGK>>;
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template <typename Tuple>
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class TestGroupedConvndFwd2d : public TestGroupedConvndFwd<Tuple>
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{
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};
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template <typename Tuple>
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class TestGroupedConvndFwd3d : public TestGroupedConvndFwd<Tuple>
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{
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};
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TYPED_TEST_SUITE(TestGroupedConvndFwd2d, KernelTypes2d);
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TYPED_TEST_SUITE(TestGroupedConvndFwd3d, KernelTypes3d);
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TYPED_TEST(TestGroupedConvndFwd2d, Test2D)
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{
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this->conv_params.clear();
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this->conv_params.push_back(
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{2, 2, 32, 128, 256, {1, 1}, {7, 7}, {2, 2}, {1, 1}, {0, 0}, {0, 0}});
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this->conv_params.push_back(
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{2, 2, 32, 128, 256, {3, 3}, {14, 14}, {1, 1}, {1, 1}, {1, 1}, {1, 1}});
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this->template Run<2>();
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}
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TYPED_TEST(TestGroupedConvndFwd3d, Test3D)
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{
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this->conv_params.clear();
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this->conv_params.push_back(
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{3, 2, 32, 128, 256, {1, 1, 1}, {7, 7, 7}, {2, 2, 2}, {1, 1, 1}, {0, 0, 0}, {0, 0, 0}});
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this->conv_params.push_back(
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{3, 2, 32, 128, 256, {3, 3, 3}, {14, 14, 3}, {1, 1, 1}, {1, 1, 1}, {1, 1, 1}, {1, 1, 1}});
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this->template Run<3>();
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}
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@@ -1,4 +0,0 @@
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if(GPU_TARGETS MATCHES "gfx9")
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add_gtest_executable(test_grouped_convnd_fwd_bias_clamp test_grouped_convnd_fwd_bias_clamp.cpp)
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target_link_libraries(test_grouped_convnd_fwd_bias_clamp PRIVATE utility device_grouped_conv2d_fwd_bias_clamp_instance device_grouped_conv3d_fwd_bias_clamp_instance)
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endif()
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