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Merge 'master' into 'amd-master'

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Change-Id: I40bfec7bdb863b483485ff5d7ccc6973d9b5f357
This commit is contained in:
Jenkins
2018-05-22 04:09:35 -05:00
rodzic 7e222c6f14 7042fe6067
commit ca06311090
13 zmienionych plików z 393 dodań i 121 usunięć
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hipamd/CMakeLists.txt
+5 -2
Wyświetl plik
@@ -215,7 +215,10 @@ if(HIP_PLATFORM STREQUAL "hcc")
foreach(TARGET hip_hcc hip_hcc_static hip_device)
target_include_directories(${TARGET} SYSTEM INTERFACE $<INSTALL_INTERFACE:$<INSTALL_PREFIX>/include>;${HSA_PATH}/include)
endforeach()
target_link_libraries(hip_hcc INTERFACE hcc::hccrt;hcc::hc_am)
add_library(host INTERFACE)
target_link_libraries(host INTERFACE hip_hcc)
add_library(device INTERFACE)
target_link_libraries(device INTERFACE host hip_device hcc::hccrt hcc::hc_am)
# Generate .hipInfo
file(WRITE "${PROJECT_BINARY_DIR}/.hipInfo" ${_buildInfo})
@@ -265,7 +268,7 @@ set(BIN_INSTALL_DIR ${CMAKE_INSTALL_PREFIX}/bin)
set(CONFIG_PACKAGE_INSTALL_DIR ${LIB_INSTALL_DIR}/cmake/hip)
if(HIP_PLATFORM STREQUAL "hcc")
install(TARGETS hip_hcc_static hip_hcc hip_device EXPORT hip-targets DESTINATION ${LIB_INSTALL_DIR})
install(TARGETS hip_hcc_static hip_hcc hip_device host device EXPORT hip-targets DESTINATION ${LIB_INSTALL_DIR})
install(EXPORT hip-targets DESTINATION ${CONFIG_PACKAGE_INSTALL_DIR} NAMESPACE hip::)
include(CMakePackageConfigHelpers)
hipamd/hip-config.cmake.in
+1 -1
Wyświetl plik
@@ -51,7 +51,7 @@ set_and_check(hip_HIPCONFIG_EXECUTABLE "${hip_BIN_INSTALL_DIR}/hipconfig")
find_dependency(hcc)
include( "${CMAKE_CURRENT_LIST_DIR}/hip-targets.cmake" )
set( hip_LIBRARIES hip::hip_hcc)
set( hip_LIBRARIES hip::host hip::device)
set( hip_LIBRARY ${hip_LIBRARIES})
set(HIP_INCLUDE_DIR ${hip_INCLUDE_DIR})
hipamd/hipify-clang/src/CUDA2HipMap.cpp
+109 -24
Wyświetl plik
@@ -2923,6 +2923,14 @@ const std::map<llvm::StringRef, hipCounter> CUDA_IDENTIFIER_MAP{
// defines
{"CUDNN_VERSION", {"HIPDNN_VERSION", CONV_NUMERIC_LITERAL, API_DNN}}, // 7000
{"CUDNN_DIM_MAX", {"HIPDNN_DIM_MAX", CONV_NUMERIC_LITERAL, API_DNN, HIP_UNSUPPORTED}}, // 8
{"CUDNN_LRN_MIN_N", {"HIPDNN_LRN_MIN_N", CONV_NUMERIC_LITERAL, API_DNN, HIP_UNSUPPORTED}}, // 1
{"CUDNN_LRN_MAX_N", {"HIPDNN_LRN_MAX_N", CONV_NUMERIC_LITERAL, API_DNN, HIP_UNSUPPORTED}}, // 16
{"CUDNN_LRN_MIN_K", {"HIPDNN_LRN_MIN_K", CONV_NUMERIC_LITERAL, API_DNN, HIP_UNSUPPORTED}}, // 1e-5
{"CUDNN_LRN_MIN_BETA", {"HIPDNN_LRN_MIN_BETA", CONV_NUMERIC_LITERAL, API_DNN, HIP_UNSUPPORTED}}, // 0.01
{"CUDNN_BN_MIN_EPSILON", {"HIPDNN_BN_MIN_EPSILON", CONV_NUMERIC_LITERAL, API_DNN}}, // 1e-5
{"CUDNN_SEV_ERROR_EN", {"HIPDNN_SEV_ERROR_EN", CONV_NUMERIC_LITERAL, API_DNN, HIP_UNSUPPORTED}},
{"CUDNN_SEV_WARNING_EN", {"HIPDNN_SEV_WARNING_EN", CONV_NUMERIC_LITERAL, API_DNN, HIP_UNSUPPORTED}},
{"CUDNN_SEV_INFO_EN", {"HIPDNN_SEV_INFO_EN", CONV_NUMERIC_LITERAL, API_DNN, HIP_UNSUPPORTED}},
{"cudnnContext", {"hipdnnContext", CONV_TYPE, API_DNN, HIP_UNSUPPORTED}},
{"cudnnHandle_t", {"hipdnnHandle_t", CONV_TYPE, API_DNN}},
@@ -2960,11 +2968,15 @@ const std::map<llvm::StringRef, hipCounter> CUDA_IDENTIFIER_MAP{
{"CUDNN_DATA_INT8x4", {"HIPDNN_DATA_INT8x4", CONV_NUMERIC_LITERAL, API_DNN}}, // 5
{"CUDNN_DATA_UINT8", {"HIPDNN_DATA_UINT8", CONV_NUMERIC_LITERAL, API_DNN, HIP_UNSUPPORTED}}, // 6
{"CUDNN_DATA_UINT8x4", {"HIPDNN_DATA_UINT8x4", CONV_NUMERIC_LITERAL, API_DNN, HIP_UNSUPPORTED}}, // 7
{"cudnnErrQueryMode_t", {"hipdnnErrQueryMode_t", CONV_TYPE, API_DNN, HIP_UNSUPPORTED}},
{"CUDNN_ERRQUERY_RAWCODE", {"HIPDNN_ERRQUERY_RAWCODE", CONV_NUMERIC_LITERAL, API_DNN, HIP_UNSUPPORTED}}, // 0
{"CUDNN_ERRQUERY_NONBLOCKING", {"HIPDNN_ERRQUERY_NONBLOCKING", CONV_NUMERIC_LITERAL, API_DNN, HIP_UNSUPPORTED}}, // 1
{"CUDNN_ERRQUERY_BLOCKING", {"HIPDNN_ERRQUERY_BLOCKING", CONV_NUMERIC_LITERAL, API_DNN, HIP_UNSUPPORTED}}, // 2
{"cudnnSeverity_t", {"hipdnnSeverity_t", CONV_TYPE, API_DNN, HIP_UNSUPPORTED}},
{"CUDNN_SEV_FATAL", {"HIPDNN_SEV_FATAL", CONV_NUMERIC_LITERAL, API_DNN, HIP_UNSUPPORTED}}, // 0
{"CUDNN_SEV_ERROR", {"HIPDNN_SEV_ERROR", CONV_NUMERIC_LITERAL, API_DNN, HIP_UNSUPPORTED}}, // 1
{"CUDNN_SEV_WARNING", {"HIPDNN_SEV_WARNING", CONV_NUMERIC_LITERAL, API_DNN, HIP_UNSUPPORTED}}, // 2
{"CUDNN_SEV_INFO", {"HIPDNN_SEV_INFO", CONV_NUMERIC_LITERAL, API_DNN, HIP_UNSUPPORTED}}, // 3
{"cudnnConvolutionFwdAlgo_t", {"hipdnnConvolutionFwdAlgo_t", CONV_TYPE, API_DNN}},
{"CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM", {"HIPDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM", CONV_NUMERIC_LITERAL, API_DNN}}, // 0
@@ -2976,21 +2988,25 @@ const std::map<llvm::StringRef, hipCounter> CUDA_IDENTIFIER_MAP{
{"CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD", {"HIPDNN_CONVOLUTION_FWD_ALGO_WINOGRAD", CONV_NUMERIC_LITERAL, API_DNN}}, // 6
{"CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD_NONFUSED", {"HIPDNN_CONVOLUTION_FWD_ALGO_WINOGRAD_NONFUSED", CONV_NUMERIC_LITERAL, API_DNN}}, // 7
{"CUDNN_CONVOLUTION_FWD_ALGO_COUNT", {"HIPDNN_CONVOLUTION_FWD_ALGO_COUNT", CONV_NUMERIC_LITERAL, API_DNN}}, // 8
{"cudnnConvolutionFwdPreference_t", {"hipdnnConvolutionFwdPreference_t", CONV_TYPE, API_DNN}},
{"CUDNN_CONVOLUTION_FWD_NO_WORKSPACE", {"HIPDNN_CONVOLUTION_FWD_NO_WORKSPACE", CONV_NUMERIC_LITERAL, API_DNN}}, // 0
{"CUDNN_CONVOLUTION_FWD_PREFER_FASTEST", {"HIPDNN_CONVOLUTION_FWD_PREFER_FASTEST", CONV_NUMERIC_LITERAL, API_DNN}}, // 1
{"CUDNN_CONVOLUTION_FWD_SPECIFY_WORKSPACE_LIMIT", {"HIPDNN_CONVOLUTION_FWD_SPECIFY_WORKSPACE_LIMIT", CONV_NUMERIC_LITERAL, API_DNN}}, // 2
{"cudnnDeterminism_t", {"hipdnnDeterminism_t", CONV_TYPE, API_DNN, HIP_UNSUPPORTED}},
{"CUDNN_NON_DETERMINISTIC", {"HIPDNN_NON_DETERMINISTIC", CONV_NUMERIC_LITERAL, API_DNN, HIP_UNSUPPORTED}}, // 0
{"CUDNN_DETERMINISTIC", {"HIPDNN_DETERMINISTIC", CONV_NUMERIC_LITERAL, API_DNN, HIP_UNSUPPORTED}}, // 1
{"cudnnDivNormMode_t", {"hipdnnDivNormMode_t", CONV_TYPE, API_DNN, HIP_UNSUPPORTED}},
{"CUDNN_DIVNORM_PRECOMPUTED_MEANS", {"HIPDNN_DIVNORM_PRECOMPUTED_MEANS", CONV_NUMERIC_LITERAL, API_DNN, HIP_UNSUPPORTED}}, // 0
{"cudnnCTCLossAlgo_t", {"hipdnnCTCLossAlgo_t", CONV_TYPE, API_DNN, HIP_UNSUPPORTED}},
{"CUDNN_CTC_LOSS_ALGO_DETERMINISTIC", {"HIPDNN_CTC_LOSS_ALGO_DETERMINISTIC", CONV_NUMERIC_LITERAL, API_DNN, HIP_UNSUPPORTED}}, // 0
{"CUDNN_CTC_LOSS_ALGO_NON_DETERMINISTIC", {"HIPDNN_CTC_LOSS_ALGO_NON_DETERMINISTIC", CONV_NUMERIC_LITERAL, API_DNN, HIP_UNSUPPORTED}}, // 1
{"cudnnFilterDescriptor_t", {"hipdnnFilterDescriptor_t", CONV_TYPE, API_DNN}},
{"cudnnDropoutDescriptor_t", {"hipdnnDropoutDescriptor_t", CONV_TYPE, API_DNN}},
{"cudnnConvolutionFwdAlgoPerf_t", {"hipdnnConvolutionFwdAlgoPerf_t", CONV_TYPE, API_DNN}},
{"cudnnConvolutionBwdFilterAlgoPerf_t", {"hipdnnConvolutionBwdFilterAlgoPerf_t", CONV_TYPE, API_DNN}},
{"cudnnRNNDescriptor_t", {"hipdnnRNNDescriptor_t", CONV_TYPE, API_DNN}},
{"cudnnPersistentRNNPlan", {"hipdnnPersistentRNNPlan", CONV_TYPE, API_DNN, HIP_UNSUPPORTED}},
{"cudnnPersistentRNNPlan_t", {"hipdnnPersistentRNNPlan_t", CONV_TYPE, API_DNN}},
{"cudnnTensorStruct", {"hipdnnTensorStruct", CONV_TYPE, API_DNN, HIP_UNSUPPORTED}},
{"cudnnConvolutionStruct", {"hipdnnConvolutionStruct", CONV_TYPE, API_DNN, HIP_UNSUPPORTED}},
@@ -3010,23 +3026,30 @@ const std::map<llvm::StringRef, hipCounter> CUDA_IDENTIFIER_MAP{
{"cudnnCTCLossDescriptor_t", {"hipdnnCTCLossDescriptor_t", CONV_TYPE, API_DNN, HIP_UNSUPPORTED}},
{"cudnnCTCLossStruct", {"hipdnnCTCLossStruct", CONV_TYPE, API_DNN, HIP_UNSUPPORTED}},
{"cudnnConvolutionBwdDataAlgoPerf_t", {"hipdnnConvolutionBwdDataAlgoPerf_t", CONV_TYPE, API_DNN}},
{"cudnnAlgorithmDescriptor_t", {"hipdnnAlgorithmDescriptor_t", CONV_TYPE, API_DNN, HIP_UNSUPPORTED}},
{"cudnnAlgorithmStruct", {"hipdnnAlgorithmStruct", CONV_TYPE, API_DNN, HIP_UNSUPPORTED}},
{"cudnnAlgorithmPerformance_t", {"hipdnnAlgorithmPerformance_t", CONV_TYPE, API_DNN, HIP_UNSUPPORTED}},
{"cudnnAlgorithmPerformanceStruct", {"hipdnnAlgorithmPerformanceStruct", CONV_TYPE, API_DNN, HIP_UNSUPPORTED}},
{"cudnnRNNStruct", {"hipdnnRNNStruct", CONV_TYPE, API_DNN, HIP_UNSUPPORTED}},
{"cudnnRNNDescriptor_t", {"hipdnnRNNDescriptor_t", CONV_TYPE, API_DNN}},
{"cudnnAlgorithm_t", {"hipdnnAlgorithm_t", CONV_TYPE, API_DNN, HIP_UNSUPPORTED}},
{"cudnnCallback_t", {"hipdnnCallback_t", CONV_TYPE, API_DNN, HIP_UNSUPPORTED}},
{"cudnnDebug_t", {"hipdnnDebug_t", CONV_TYPE, API_DNN, HIP_UNSUPPORTED}},
{"cudnnLRNMode_t", {"hipdnnLRNMode_t", CONV_TYPE, API_DNN}},
{"CUDNN_LRN_CROSS_CHANNEL_DIM1", {"HIPDNN_LRN_CROSS_CHANNEL", CONV_NUMERIC_LITERAL, API_DNN}}, // 0 vs 1
{"cudnnRNNInputMode_t", {"hipdnnRNNInputMode_t", CONV_TYPE, API_DNN}},
{"CUDNN_LINEAR_INPUT", {"HIPDNN_LINEAR_INPUT", CONV_NUMERIC_LITERAL, API_DNN}}, // 0
{"CUDNN_SKIP_INPUT", {"HIPDNN_SKIP_INPUT", CONV_NUMERIC_LITERAL, API_DNN}}, // 1
{"cudnnDirectionMode_t", {"hipdnnDirectionMode_t", CONV_TYPE, API_DNN}},
{"CUDNN_UNIDIRECTIONAL", {"HIPDNN_UNIDIRECTIONAL", CONV_NUMERIC_LITERAL, API_DNN}}, // 0
{"CUDNN_BIDIRECTIONAL", {"HIPDNN_BIDIRECTIONAL", CONV_NUMERIC_LITERAL, API_DNN}}, // 1
{"cudnnMathType_t", {"hipdnnMathType_t", CONV_TYPE, API_DNN}},
{"CUDNN_DEFAULT_MATH", {"HIPDNN_DEFAULT_MATH", CONV_NUMERIC_LITERAL, API_DNN}}, // 0
{"CUDNN_TENSOR_OP_MATH", {"HIPDNN_TENSOR_OP_MATH", CONV_NUMERIC_LITERAL, API_DNN}}, // 1
{"cudnnNanPropagation_t", {"hipdnnNanPropagation_t", CONV_TYPE, API_DNN}},
{"CUDNN_NOT_PROPAGATE_NAN", {"HIPDNN_NOT_PROPAGATE_NAN", CONV_NUMERIC_LITERAL, API_DNN}}, // 0
{"CUDNN_PROPAGATE_NAN", {"HIPDNN_PROPAGATE_NAN", CONV_NUMERIC_LITERAL, API_DNN}}, // 1
{"cudnnConvolutionBwdDataAlgo_t", {"hipdnnConvolutionBwdDataAlgo_t", CONV_TYPE, API_DNN}},
{"CUDNN_CONVOLUTION_BWD_DATA_ALGO_0", {"HIPDNN_CONVOLUTION_BWD_DATA_ALGO_0", CONV_NUMERIC_LITERAL, API_DNN}}, // 0
{"CUDNN_CONVOLUTION_BWD_DATA_ALGO_1", {"HIPDNN_CONVOLUTION_BWD_DATA_ALGO_1", CONV_NUMERIC_LITERAL, API_DNN}}, // 1
@@ -3035,7 +3058,6 @@ const std::map<llvm::StringRef, hipCounter> CUDA_IDENTIFIER_MAP{
{"CUDNN_CONVOLUTION_BWD_DATA_ALGO_WINOGRAD", {"HIPDNN_CONVOLUTION_BWD_DATA_ALGO_WINOGRAD", CONV_NUMERIC_LITERAL, API_DNN}}, // 4
{"CUDNN_CONVOLUTION_BWD_DATA_ALGO_WINOGRAD_NONFUSED", {"HIPDNN_CONVOLUTION_BWD_DATA_ALGO_WINOGRAD_NONFUSED", CONV_NUMERIC_LITERAL, API_DNN}}, // 5
{"CUDNN_CONVOLUTION_BWD_DATA_ALGO_COUNT", {"HIPDNN_CONVOLUTION_BWD_DATA_ALGO_TRANSPOSE_GEMM", CONV_NUMERIC_LITERAL, API_DNN}}, // 6
{"cudnnConvolutionBwdFilterAlgo_t", {"hipdnnConvolutionBwdFilterAlgo_t", CONV_TYPE, API_DNN}},
{"CUDNN_CONVOLUTION_BWD_FILTER_ALGO_0", {"HIPDNN_CONVOLUTION_BWD_FILTER_ALGO_0", CONV_NUMERIC_LITERAL, API_DNN}}, // 0
{"CUDNN_CONVOLUTION_BWD_FILTER_ALGO_1", {"HIPDNN_CONVOLUTION_BWD_FILTER_ALGO_1", CONV_NUMERIC_LITERAL, API_DNN}}, // 1
@@ -3045,24 +3067,20 @@ const std::map<llvm::StringRef, hipCounter> CUDA_IDENTIFIER_MAP{
{"CUDNN_CONVOLUTION_BWD_FILTER_ALGO_WINOGRAD_NONFUSED", {"HIPDNN_CONVOLUTION_BWD_FILTER_ALGO_WINOGRAD_NONFUSED", CONV_NUMERIC_LITERAL, API_DNN}}, // 5
{"CUDNN_CONVOLUTION_BWD_FILTER_ALGO_FFT_TILING", {"HIPDNN_CONVOLUTION_BWD_FILTER_ALGO_FFT_TILING", CONV_NUMERIC_LITERAL, API_DNN}}, // 6
{"CUDNN_CONVOLUTION_BWD_FILTER_ALGO_COUNT", {"HIPDNN_CONVOLUTION_BWD_FILTER_ALGO_COUNT", CONV_NUMERIC_LITERAL, API_DNN}}, // 7
{"cudnnConvolutionBwdFilterPreference_t", {"hipdnnConvolutionBwdFilterPreference_t", CONV_TYPE, API_DNN}},
{"CUDNN_CONVOLUTION_BWD_FILTER_NO_WORKSPACE", {"HIPDNN_CONVOLUTION_BWD_FILTER_NO_WORKSPACE", CONV_NUMERIC_LITERAL, API_DNN}}, // 0
{"CUDNN_CONVOLUTION_BWD_FILTER_PREFER_FASTEST", {"HIPDNN_CONVOLUTION_BWD_FILTER_PREFER_FASTEST", CONV_NUMERIC_LITERAL, API_DNN}}, // 1
{"CUDNN_CONVOLUTION_BWD_FILTER_SPECIFY_WORKSPACE_LIMIT",{"HIPDNN_CONVOLUTION_BWD_FILTER_SPECIFY_WORKSPACE_LIMIT",CONV_NUMERIC_LITERAL, API_DNN}}, // 2
{"cudnnRNNAlgo_t", {"hipdnnRNNAlgo_t", CONV_TYPE, API_DNN}},
{"CUDNN_RNN_ALGO_STANDARD", {"HIPDNN_RNN_ALGO_STANDARD", CONV_NUMERIC_LITERAL, API_DNN}}, // 0
{"CUDNN_RNN_ALGO_PERSIST_STATIC", {"HIPDNN_RNN_ALGO_PERSIST_STATIC", CONV_NUMERIC_LITERAL, API_DNN}}, // 1
{"CUDNN_RNN_ALGO_PERSIST_DYNAMIC", {"HIPDNN_RNN_ALGO_PERSIST_DYNAMIC", CONV_NUMERIC_LITERAL, API_DNN}}, // 2
{"CUDNN_RNN_ALGO_COUNT", {"HIPDNN_RNN_ALGO_COUNT", CONV_NUMERIC_LITERAL, API_DNN, HIP_UNSUPPORTED}}, // 3
{"cudnnRNNMode_t", {"hipdnnRNNMode_t", CONV_TYPE, API_DNN}},
{"CUDNN_RNN_RELU", {"HIPDNN_RNN_RELU", CONV_NUMERIC_LITERAL, API_DNN}}, // 0
{"CUDNN_RNN_TANH", {"HIPDNN_RNN_TANH", CONV_NUMERIC_LITERAL, API_DNN}}, // 1
{"CUDNN_LSTM", {"HIPDNN_LSTM", CONV_NUMERIC_LITERAL, API_DNN}}, // 2
{"CUDNN_GRU", {"HIPDNN_GRU", CONV_NUMERIC_LITERAL, API_DNN}}, // 3
{"cudnnOpTensorOp_t", {"hipdnnOpTensorOp_t", CONV_TYPE, API_DNN}},
{"CUDNN_OP_TENSOR_ADD", {"HIPDNN_OP_TENSOR_ADD", CONV_NUMERIC_LITERAL, API_DNN}}, // 0
{"CUDNN_OP_TENSOR_MUL", {"HIPDNN_OP_TENSOR_MUL", CONV_NUMERIC_LITERAL, API_DNN}}, // 1
@@ -3070,7 +3088,6 @@ const std::map<llvm::StringRef, hipCounter> CUDA_IDENTIFIER_MAP{
{"CUDNN_OP_TENSOR_MAX", {"HIPDNN_OP_TENSOR_MAX", CONV_NUMERIC_LITERAL, API_DNN}}, // 3
{"CUDNN_OP_TENSOR_SQRT", {"HIPDNN_OP_TENSOR_SQRT", CONV_NUMERIC_LITERAL, API_DNN}}, // 4
{"CUDNN_OP_TENSOR_NOT", {"HIPDNN_OP_TENSOR_NOT", CONV_NUMERIC_LITERAL, API_DNN, HIP_UNSUPPORTED}}, // 5
{"cudnnReduceTensorOp_t", {"hipdnnReduceTensorOp_t", CONV_TYPE, API_DNN}},
{"CUDNN_REDUCE_TENSOR_ADD", {"HIPDNN_REDUCE_TENSOR_ADD", CONV_NUMERIC_LITERAL, API_DNN}}, // 0
{"CUDNN_REDUCE_TENSOR_MUL", {"HIPDNN_REDUCE_TENSOR_MUL", CONV_NUMERIC_LITERAL, API_DNN}}, // 1
@@ -3081,36 +3098,43 @@ const std::map<llvm::StringRef, hipCounter> CUDA_IDENTIFIER_MAP{
{"CUDNN_REDUCE_TENSOR_NORM1", {"HIPDNN_REDUCE_TENSOR_NORM1", CONV_NUMERIC_LITERAL, API_DNN}}, // 6
{"CUDNN_REDUCE_TENSOR_NORM2", {"HIPDNN_REDUCE_TENSOR_NORM2", CONV_NUMERIC_LITERAL, API_DNN}}, // 7
{"CUDNN_REDUCE_TENSOR_MUL_NO_ZEROS", {"HIPDNN_REDUCE_TENSOR_MUL_NO_ZEROS", CONV_NUMERIC_LITERAL, API_DNN}}, // 8
{"cudnnReduceTensorIndices_t", {"hipdnnReduceTensorIndices_t", CONV_TYPE, API_DNN}},
{"CUDNN_REDUCE_TENSOR_NO_INDICES", {"HIPDNN_REDUCE_TENSOR_NO_INDICES", CONV_NUMERIC_LITERAL, API_DNN}}, // 0
{"CUDNN_REDUCE_TENSOR_FLATTENED_INDICES", {"HIPDNN_REDUCE_TENSOR_FLATTENED_INDICES", CONV_NUMERIC_LITERAL, API_DNN}}, // 1
{"cudnnConvolutionBwdDataPreference_t", {"hipdnnConvolutionBwdDataPreference_t", CONV_TYPE, API_DNN}},
{"CUDNN_CONVOLUTION_BWD_DATA_NO_WORKSPACE", {"HIPDNN_CONVOLUTION_BWD_DATA_NO_WORKSPACE", CONV_NUMERIC_LITERAL, API_DNN}}, // 0
{"CUDNN_CONVOLUTION_BWD_DATA_PREFER_FASTEST", {"HIPDNN_CONVOLUTION_BWD_DATA_PREFER_FASTEST", CONV_NUMERIC_LITERAL, API_DNN}}, // 1
{"CUDNN_CONVOLUTION_BWD_DATA_SPECIFY_WORKSPACE_LIMIT", {"HIPDNN_CONVOLUTION_BWD_DATA_SPECIFY_WORKSPACE_LIMIT", CONV_NUMERIC_LITERAL, API_DNN}}, // 2
{"cudnnIndicesType_t", {"hipdnnIndicesType_t", CONV_TYPE, API_DNN}},
{"CUDNN_32BIT_INDICES", {"HIPDNN_32BIT_INDICES", CONV_NUMERIC_LITERAL, API_DNN}}, // 0
{"CUDNN_64BIT_INDICES", {"HIPDNN_64BIT_INDICES", CONV_NUMERIC_LITERAL, API_DNN}}, // 1
{"CUDNN_16BIT_INDICES", {"HIPDNN_16BIT_INDICES", CONV_NUMERIC_LITERAL, API_DNN}}, // 2
{"CUDNN_8BIT_INDICES", {"HIPDNN_8BIT_INDICES", CONV_NUMERIC_LITERAL, API_DNN}}, // 3
{"cudnnSoftmaxAlgorithm_t", {"hipdnnSoftmaxAlgorithm_t", CONV_TYPE, API_DNN}},
{"CUDNN_SOFTMAX_FAST", {"HIPDNN_SOFTMAX_FAST", CONV_NUMERIC_LITERAL, API_DNN}}, // 0
{"CUDNN_SOFTMAX_ACCURATE", {"HIPDNN_SOFTMAX_ACCURATE", CONV_NUMERIC_LITERAL, API_DNN}}, // 1
{"CUDNN_SOFTMAX_LOG", {"HIPDNN_SOFTMAX_LOG", CONV_NUMERIC_LITERAL, API_DNN}}, // 2
{"cudnnSoftmaxMode_t", {"hipdnnSoftmaxMode_t", CONV_TYPE, API_DNN}},
{"CUDNN_SOFTMAX_MODE_INSTANCE", {"HIPDNN_SOFTMAX_MODE_INSTANCE", CONV_NUMERIC_LITERAL, API_DNN}}, // 0
{"CUDNN_SOFTMAX_MODE_CHANNEL", {"HIPDNN_SOFTMAX_MODE_CHANNEL", CONV_NUMERIC_LITERAL, API_DNN}}, // 1
{"cudnnPoolingMode_t", {"hipdnnPoolingMode_t", CONV_TYPE, API_DNN}},
{"CUDNN_POOLING_MAX", {"HIPDNN_POOLING_MAX", CONV_NUMERIC_LITERAL, API_DNN}}, // 0
{"CUDNN_POOLING_AVERAGE_COUNT_INCLUDE_PADDING", {"HIPDNN_POOLING_AVERAGE_COUNT_INCLUDE_PADDING", CONV_NUMERIC_LITERAL, API_DNN}}, // 1
{"CUDNN_POOLING_AVERAGE_COUNT_EXCLUDE_PADDING", {"HIPDNN_POOLING_AVERAGE_COUNT_EXCLUDE_PADDING", CONV_NUMERIC_LITERAL, API_DNN}}, // 2
{"CUDNN_POOLING_MAX_DETERMINISTIC", {"HIPDNN_POOLING_MAX_DETERMINISTIC", CONV_NUMERIC_LITERAL, API_DNN}}, // 3
{"cudnnActivationMode_t", {"hipdnnActivationMode_t", CONV_TYPE, API_DNN}},
{"CUDNN_ACTIVATION_SIGMOID", {"HIPDNN_ACTIVATION_SIGMOID", CONV_NUMERIC_LITERAL, API_DNN}}, // 0
{"CUDNN_ACTIVATION_RELU", {"HIPDNN_ACTIVATION_RELU", CONV_NUMERIC_LITERAL, API_DNN}}, // 1
{"CUDNN_ACTIVATION_TANH", {"HIPDNN_ACTIVATION_TANH", CONV_NUMERIC_LITERAL, API_DNN}}, // 2
{"CUDNN_ACTIVATION_CLIPPED_RELU", {"HIPDNN_ACTIVATION_CLIPPED_RELU", CONV_NUMERIC_LITERAL, API_DNN}}, // 3
{"CUDNN_ACTIVATION_ELU", {"HIPDNN_ACTIVATION_ELU", CONV_NUMERIC_LITERAL, API_DNN}}, // 4
{"CUDNN_ACTIVATION_IDENTITY", {"HIPDNN_ACTIVATION_PATHTRU", CONV_NUMERIC_LITERAL, API_DNN}}, // 5
{"cudnnBatchNormMode_t", {"hipdnnBatchNormMode_t", CONV_TYPE, API_DNN}},
{"CUDNN_BATCHNORM_PER_ACTIVATION", {"HIPDNN_BATCHNORM_PER_ACTIVATION", CONV_NUMERIC_LITERAL, API_DNN}}, // 0
{"CUDNN_BATCHNORM_SPATIAL", {"HIPDNN_BATCHNORM_SPATIAL", CONV_NUMERIC_LITERAL, API_DNN}}, // 1
{"CUDNN_BATCHNORM_SPATIAL_PERSISTENT", {"HIPDNN_BATCHNORM_SPATIAL_PERSISTENT", CONV_NUMERIC_LITERAL, API_DNN}}, // 2
{"cudnnSamplerType_t", {"hipdnnSamplerType_t", CONV_TYPE, API_DNN, HIP_UNSUPPORTED}},
{"CUDNN_SAMPLER_BILINEAR", {"HIPDNN_SAMPLER_BILINEAR", CONV_NUMERIC_LITERAL, API_DNN, HIP_UNSUPPORTED}}, // 0
{"cudnnGetVersion", {"hipdnnGetVersion", CONV_VERSION, API_DNN}},
{"cudnnGetCudartVersion", {"hipdnnGetCudartVersion", CONV_VERSION, API_DNN, HIP_UNSUPPORTED}},
@@ -3132,9 +3156,11 @@ const std::map<llvm::StringRef, hipCounter> CUDA_IDENTIFIER_MAP{
{"cudnnCreateRNNDescriptor", {"hipdnnCreateRNNDescriptor", CONV_MATH_FUNC, API_DNN}},
{"cudnnSetStream", {"hipdnnSetStream", CONV_MATH_FUNC, API_DNN}},
{"cudnnGetStream", {"hipdnnGetStream", CONV_MATH_FUNC, API_DNN}},
{"cudnnSetRNNDescriptor_v5", {"hipdnnSetRNNDescriptor_v5", CONV_MATH_FUNC, API_DNN}},
{"cudnnSetRNNDescriptor_v6", {"hipdnnSetRNNDescriptor_v6", CONV_MATH_FUNC, API_DNN}},
{"cudnnSetRNNDescriptor", {"hipdnnSetRNNDescriptor", CONV_MATH_FUNC, API_DNN}},
{"cudnnDropoutGetStatesSize", {"hipdnnDropoutGetStatesSize", CONV_MATH_FUNC, API_DNN}},
{"cudnnDropoutGetReserveSpaceSize", {"hipdnnDropoutGetReserveSpaceSize", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnTransformTensor", {"hipdnnTransformTensor", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnSetTensor4dDescriptor", {"hipdnnSetTensor4dDescriptor", CONV_MATH_FUNC, API_DNN}},
{"cudnnGetTensor4dDescriptor", {"hipdnnGetTensor4dDescriptor", CONV_MATH_FUNC, API_DNN}},
@@ -3158,16 +3184,25 @@ const std::map<llvm::StringRef, hipCounter> CUDA_IDENTIFIER_MAP{
{"cudnnGetConvolutionBackwardDataAlgorithm", {"hipdnnGetConvolutionBackwardDataAlgorithm", CONV_MATH_FUNC, API_DNN}},
{"cudnnGetConvolutionBackwardDataAlgorithm_v7", {"hipdnnGetConvolutionBackwardDataAlgorithm_v7", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnGetConvolutionBackwardDataAlgorithmMaxCount", {"hipdnnGetConvolutionBackwardDataAlgorithmMaxCount", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnGetConvolutionForwardAlgorithmMaxCount", {"hipdnnGetConvolutionForwardAlgorithmMaxCount", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnGetConvolutionForwardAlgorithmMaxCount", {"hipdnnGetConvolutionForwardAlgorithmMaxCount", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnGetRNNLinLayerMatrixParams", {"hipdnnGetRNNLinLayerMatrixParams", CONV_MATH_FUNC, API_DNN}},
{"cudnnGetRNNLinLayerBiasParams", {"hipdnnGetRNNLinLayerBiasParams", CONV_MATH_FUNC, API_DNN}},
{"cudnnSetRNNProjectionLayers", {"hipdnnSetRNNProjectionLayers", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnGetRNNProjectionLayers", {"hipdnnGetRNNProjectionLayers", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnSetRNNAlgorithmDescriptor", {"hipdnnSetRNNAlgorithmDescriptor", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnGetRNNDescriptor", {"hipdnnGetRNNDescriptor", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnGetFilterNdDescriptor", {"hipdnnGetFilterNdDescriptor", CONV_MATH_FUNC, API_DNN}},
{"cudnnFindConvolutionBackwardDataAlgorithm", {"hipdnnFindConvolutionBackwardDataAlgorithm", CONV_MATH_FUNC, API_DNN}},
{"cudnnFindConvolutionBackwardDataAlgorithmEx", {"hipdnnFindConvolutionBackwardDataAlgorithmEx", CONV_MATH_FUNC, API_DNN}},
{"cudnnSetDropoutDescriptor", {"hipdnnSetDropoutDescriptor", CONV_MATH_FUNC, API_DNN}},
{"cudnnRestoreDropoutDescriptor", {"hipdnnRestoreDropoutDescriptor", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnGetDropoutDescriptor", {"hipdnnGetDropoutDescriptor", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnGetDropoutDescriptor", {"hipdnnGetDropoutDescriptor", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnSetConvolution2dDescriptor", {"hipdnnSetConvolution2dDescriptor", CONV_MATH_FUNC, API_DNN}},
{"cudnnGetConvolution2dDescriptor", {"hipdnnGetConvolution2dDescriptor", CONV_MATH_FUNC, API_DNN}},
{"cudnnSetConvolutionMathType", {"hipdnnSetConvolutionMathType", CONV_MATH_FUNC, API_DNN}},
{"cudnnDropoutForward", {"hipdnnDropoutForward", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnDropoutBackward", {"hipdnnDropoutBackward", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnGetConvolutionMathType", {"hipdnnGetConvolutionMathType", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnSetConvolutionGroupCount", {"hipdnnSetConvolutionGroupCount", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnGetConvolutionGroupCount", {"hipdnnGetConvolutionGroupCount", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
@@ -3188,6 +3223,15 @@ const std::map<llvm::StringRef, hipCounter> CUDA_IDENTIFIER_MAP{
{"cudnnRNNBackwardData", {"hipdnnRNNBackwardData", CONV_MATH_FUNC, API_DNN}},
{"cudnnSetFilter4dDescriptor", {"hipdnnSetFilter4dDescriptor", CONV_MATH_FUNC, API_DNN}},
{"cudnnSetRNNMatrixMathType", {"hipdnnSetRNNMatrixMathType", CONV_MATH_FUNC, API_DNN}},
{"cudnnGetRNNMatrixMathType", {"hipdnnGetRNNMatrixMathType", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnGetRNNForwardInferenceAlgorithmMaxCount", {"hipdnnGetRNNForwardInferenceAlgorithmMaxCount", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnFindRNNForwardInferenceAlgorithmEx", {"hipdnnFindRNNForwardInferenceAlgorithmEx", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnGetRNNForwardTrainingAlgorithmMaxCount", {"hipdnnGetRNNForwardTrainingAlgorithmMaxCount", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnFindRNNForwardTrainingAlgorithmEx", {"hipdnnFindRNNForwardTrainingAlgorithmEx", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnGetRNNBackwardDataAlgorithmMaxCount", {"hipdnnGetRNNBackwardDataAlgorithmMaxCount", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnFindRNNBackwardDataAlgorithmEx", {"hipdnnFindRNNBackwardDataAlgorithmEx", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnGetRNNBackwardWeightsAlgorithmMaxCount", {"hipdnnGetRNNBackwardWeightsAlgorithmMaxCount", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnFindRNNBackwardWeightsAlgorithmEx", {"hipdnnFindRNNBackwardWeightsAlgorithmEx", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnCreateConvolutionDescriptor", {"hipdnnCreateConvolutionDescriptor", CONV_MATH_FUNC, API_DNN}},
{"cudnnGetConvolutionForwardAlgorithm", {"hipdnnGetConvolutionForwardAlgorithm", CONV_MATH_FUNC, API_DNN}},
{"cudnnGetConvolutionForwardAlgorithm_v7", {"hipdnnGetConvolutionForwardAlgorithm_v7", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
@@ -3209,10 +3253,8 @@ const std::map<llvm::StringRef, hipCounter> CUDA_IDENTIFIER_MAP{
{"cudnnDestroyReduceTensorDescriptor", {"hipdnnDestroyReduceTensorDescriptor", CONV_MATH_FUNC, API_DNN}},
{"cudnnDestroyPersistentRNNPlan", {"hipdnnDestroyPersistentRNNPlan", CONV_MATH_FUNC, API_DNN}},
{"cudnnDestroy", {"hipdnnDestroy", CONV_MATH_FUNC, API_DNN}},
{"cudnnSoftmaxForward", {"hipdnnSoftmaxForward", CONV_MATH_FUNC, API_DNN}},
{"cudnnSoftmaxBackward", {"hipdnnSoftmaxBackward", CONV_MATH_FUNC, API_DNN}},
{"cudnnCreatePoolingDescriptor", {"hipdnnCreatePoolingDescriptor", CONV_MATH_FUNC, API_DNN}},
{"cudnnSetPooling2dDescriptor", {"hipdnnSetPooling2dDescriptor", CONV_MATH_FUNC, API_DNN}},
{"cudnnGetPooling2dDescriptor", {"hipdnnGetPooling2dDescriptor", CONV_MATH_FUNC, API_DNN}},
@@ -3221,10 +3263,53 @@ const std::map<llvm::StringRef, hipCounter> CUDA_IDENTIFIER_MAP{
{"cudnnGetPoolingNdForwardOutputDim", {"hipdnnGetPoolingNdForwardOutputDim", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnGetPooling2dForwardOutputDim", {"hipdnnGetPooling2dForwardOutputDim", CONV_MATH_FUNC, API_DNN}},
{"cudnnDestroyPoolingDescriptor", {"hipdnnDestroyPoolingDescriptor", CONV_MATH_FUNC, API_DNN}},
{"cudnnPoolingForward", {"hipdnnPoolingForward", CONV_MATH_FUNC, API_DNN}},
{"cudnnPoolingBackward", {"hipdnnPoolingBackward", CONV_MATH_FUNC, API_DNN}},
{"cudnnCreateActivationDescriptor", {"hipdnnCreateActivationDescriptor", CONV_MATH_FUNC, API_DNN}},
{"cudnnSetActivationDescriptor", {"hipdnnSetActivationDescriptor", CONV_MATH_FUNC, API_DNN}},
{"cudnnGetActivationDescriptor", {"hipdnnGetActivationDescriptor", CONV_MATH_FUNC, API_DNN}},
{"cudnnDestroyActivationDescriptor", {"hipdnnDestroyActivationDescriptor", CONV_MATH_FUNC, API_DNN}},
{"cudnnActivationForward", {"hipdnnActivationForward", CONV_MATH_FUNC, API_DNN}},
{"cudnnActivationBackward", {"hipdnnActivationBackward", CONV_MATH_FUNC, API_DNN}},
{"cudnnCreateLRNDescriptor", {"hipdnnCreateLRNDescriptor", CONV_MATH_FUNC, API_DNN}},
{"cudnnSetLRNDescriptor", {"hipdnnSetLRNDescriptor", CONV_MATH_FUNC, API_DNN}},
{"cudnnGetLRNDescriptor", {"hipdnnGetLRNDescriptor", CONV_MATH_FUNC, API_DNN}},
{"cudnnDestroyLRNDescriptor", {"hipdnnDestroyLRNDescriptor", CONV_MATH_FUNC, API_DNN}},
{"cudnnLRNCrossChannelForward", {"hipdnnLRNCrossChannelForward", CONV_MATH_FUNC, API_DNN}},
{"cudnnLRNCrossChannelBackward", {"hipdnnLRNCrossChannelBackward", CONV_MATH_FUNC, API_DNN}},
{"cudnnDivisiveNormalizationForward", {"hipdnnDivisiveNormalizationForward", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnDivisiveNormalizationBackward", {"hipdnnDivisiveNormalizationBackward", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnDeriveBNTensorDescriptor", {"hipdnnDeriveBNTensorDescriptor", CONV_MATH_FUNC, API_DNN}},
{"cudnnBatchNormalizationForwardTraining", {"hipdnnBatchNormalizationForwardTraining", CONV_MATH_FUNC, API_DNN}},
{"cudnnBatchNormalizationForwardInference", {"hipdnnBatchNormalizationForwardInference", CONV_MATH_FUNC, API_DNN}},
{"cudnnBatchNormalizationBackward", {"hipdnnBatchNormalizationBackward", CONV_MATH_FUNC, API_DNN}},
{"cudnnCreateSpatialTransformerDescriptor", {"hipdnnCreateSpatialTransformerDescriptor", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnSetSpatialTransformerNdDescriptor", {"hipdnnSetSpatialTransformerNdDescriptor", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnDestroySpatialTransformerDescriptor", {"hipdnnDestroySpatialTransformerDescriptor", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnSpatialTfGridGeneratorForward", {"hipdnnSpatialTfGridGeneratorForward", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnSpatialTfGridGeneratorBackward", {"hipdnnSpatialTfGridGeneratorBackward", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnSpatialTfSamplerForward", {"hipdnnSpatialTfSamplerForward", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnSpatialTfSamplerBackward", {"hipdnnSpatialTfSamplerBackward", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnCreateCTCLossDescriptor", {"hipdnnCreateCTCLossDescriptor", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnSetCTCLossDescriptor", {"hipdnnSetCTCLossDescriptor", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnGetCTCLossDescriptor", {"hipdnnGetCTCLossDescriptor", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnDestroyCTCLossDescriptor", {"hipdnnDestroyCTCLossDescriptor", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnCTCLoss", {"hipdnnCTCLoss", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnGetCTCLossWorkspaceSize", {"hipdnnGetCTCLossWorkspaceSize", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnCreateAlgorithmDescriptor", {"hipdnnCreateAlgorithmDescriptor", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnSetAlgorithmDescriptor", {"hipdnnSetAlgorithmDescriptor", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnGetAlgorithmDescriptor", {"hipdnnGetAlgorithmDescriptor", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnCopyAlgorithmDescriptor", {"hipdnnCopyAlgorithmDescriptor", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnDestroyAlgorithmDescriptor", {"hipdnnDestroyAlgorithmDescriptor", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnCreateAlgorithmPerformance", {"hipdnnCreateAlgorithmPerformance", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnSetAlgorithmPerformance", {"hipdnnSetAlgorithmPerformance", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnGetAlgorithmPerformance", {"hipdnnGetAlgorithmPerformance", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnDestroyAlgorithmPerformance", {"hipdnnDestroyAlgorithmPerformance", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnGetAlgorithmSpaceSize", {"hipdnnGetAlgorithmSpaceSize", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnSaveAlgorithm", {"hipdnnSaveAlgorithm", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnRestoreAlgorithm", {"hipdnnRestoreAlgorithm", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnSetCallback", {"hipdnnSetCallback", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
{"cudnnGetCallback", {"hipdnnGetCallback", CONV_MATH_FUNC, API_DNN, HIP_UNSUPPORTED}},
};
const std::map<llvm::StringRef, hipCounter>& CUDA_RENAMES_MAP() {
hipamd/include/hip/hcc_detail/hip_runtime_api.h
+24
Wyświetl plik
@@ -94,6 +94,19 @@ typedef struct ihipModule_t* hipModule_t;
typedef struct ihipModuleSymbol_t* hipFunction_t;
struct hipFuncAttributes {
int binaryVersion;
int cacheModeCA;
size_t constSizeBytes;
size_t localSizeBytes;
int maxDynamicSharedSizeBytes;
int maxThreadsPerBlock;
int numRegs;
int preferredShmemCarveout;
int ptxVersion;
size_t sharedSizeBytes;
};
typedef struct ihipEvent_t* hipEvent_t;
enum hipLimit_t {
@@ -2243,6 +2256,17 @@ hipError_t hipModuleUnload(hipModule_t module);
*/
hipError_t hipModuleGetFunction(hipFunction_t* function, hipModule_t module, const char* kname);
/**
* @bried Find out attributes for a given function.
*
* @param [out] attr
* @param [in] func
*
* @returns hipSuccess, hipErrorInvalidDeviceFunction
*/
hipError_t hipFuncGetAttributes(hipFuncAttributes* attr, const void* func);
/**
* @brief returns device memory pointer and size of the kernel present in the module with symbol @p
* name
hipamd/include/hip/hcc_detail/program_state.hpp
+41 -5
Wyświetl plik
@@ -22,8 +22,10 @@ THE SOFTWARE.
#pragma once
#include <hsa/amd_hsa_kernel_code.h>
#include <hsa/hsa.h>
#include <hsa/hsa_ext_amd.h>
#include <hsa/hsa_ven_amd_loader.h>
#include <cstddef>
#include <istream>
@@ -46,11 +48,45 @@ struct hash<hsa_agent_t> {
inline constexpr bool operator==(hsa_agent_t x, hsa_agent_t y) { return x.handle == y.handle; }
namespace hip_impl {
struct Kernel_descriptor {
std::uint64_t kernel_object_;
std::uint32_t group_size_;
std::uint32_t private_size_;
std::string name_;
class Kernel_descriptor {
std::uint64_t kernel_object_{};
amd_kernel_code_t const* kernel_header_{nullptr};
std::string name_{};
public:
Kernel_descriptor() = default;
Kernel_descriptor(std::uint64_t kernel_object, const std::string& name)
: kernel_object_{kernel_object}, name_{name}
{
bool supported{false};
std::uint16_t min_v{UINT16_MAX};
auto r = hsa_system_major_extension_supported(
HSA_EXTENSION_AMD_LOADER, 1, &min_v, &supported);
if (r != HSA_STATUS_SUCCESS || !supported) return;
hsa_ven_amd_loader_1_01_pfn_t tbl{};
r = hsa_system_get_major_extension_table(
HSA_EXTENSION_AMD_LOADER,
1,
sizeof(tbl),
reinterpret_cast<void*>(&tbl));
if (r != HSA_STATUS_SUCCESS) return;
if (!tbl.hsa_ven_amd_loader_query_host_address) return;
r = tbl.hsa_ven_amd_loader_query_host_address(
reinterpret_cast<void*>(kernel_object_),
reinterpret_cast<const void**>(&kernel_header_));
if (r != HSA_STATUS_SUCCESS) return;
}
Kernel_descriptor(const Kernel_descriptor&) = default;
Kernel_descriptor(Kernel_descriptor&&) = default;
~Kernel_descriptor() = default;
Kernel_descriptor& operator=(const Kernel_descriptor&) = default;
Kernel_descriptor& operator=(Kernel_descriptor&&) = default;
operator hipFunction_t() const { // TODO: this is awful and only meant for illustration.
return reinterpret_cast<hipFunction_t>(const_cast<Kernel_descriptor*>(this));
hipamd/include/hip/nvcc_detail/hip_runtime_api.h
+4
Wyświetl plik
@@ -382,6 +382,10 @@ inline static hipError_t hipMallocPitch(void** ptr, size_t* pitch, size_t width,
return hipCUDAErrorTohipError(cudaMallocPitch(ptr, pitch, width, height));
}
inline static hipError_t hipMalloc3D(hipPitchedPtr* pitchedDevPtr, hipExtent extent) {
return hipCUDAErrorTohipError(cudaMalloc3D(pitchedDevPtr, extent));
}
inline static hipError_t hipFree(void* ptr) { return hipCUDAErrorTohipError(cudaFree(ptr)); }
inline static hipError_t hipMallocHost(void** ptr, size_t size)
hipamd/src/functional_grid_launch.inl
+2 -2
Wyświetl plik
@@ -107,8 +107,8 @@ namespace hip_impl
it0->second.cbegin(),
it0->second.cend(),
[=](const pair<hsa_agent_t, Kernel_descriptor>& x) {
return x.first.handle == agent.handle;
});
return x.first == agent;
});
if (it1 == it0->second.cend()) {
throw runtime_error{
hipamd/src/hip_memory.cpp
+79 -72
Wyświetl plik
@@ -1132,15 +1132,19 @@ hipError_t hipMemcpyFromSymbolAsync(void* dst, const void* symbolName, size_t co
hipError_t hipMemcpy(void* dst, const void* src, size_t sizeBytes, hipMemcpyKind kind) {
HIP_INIT_SPECIAL_API((TRACE_MCMD), dst, src, sizeBytes, kind);
hipError_t e = hipSuccess;
// Return success if number of bytes to copy is 0
if (sizeBytes == 0) return ihipLogStatus(e);
hipStream_t stream = ihipSyncAndResolveStream(hipStreamNull);
hc::completion_future marker;
hipError_t e = hipSuccess;
if(dst==NULL || src==NULL)
{
e=hipErrorInvalidValue;
return e;
return ihipLogStatus(e);
}
try {
stream->locked_copySync(dst, src, sizeBytes, kind);
@@ -1208,7 +1212,6 @@ hipError_t hipMemcpyDtoD(hipDeviceptr_t dst, hipDeviceptr_t src, size_t sizeByte
return ihipLogStatus(e);
}
hipError_t hipMemcpyHtoH(void* dst, void* src, size_t sizeBytes) {
HIP_INIT_SPECIAL_API((TRACE_MCMD), dst, src, sizeBytes);
@@ -1227,7 +1230,6 @@ hipError_t hipMemcpyHtoH(void* dst, void* src, size_t sizeBytes) {
return ihipLogStatus(e);
}
hipError_t hipMemcpyAsync(void* dst, const void* src, size_t sizeBytes, hipMemcpyKind kind,
hipStream_t stream) {
HIP_INIT_SPECIAL_API((TRACE_MCMD), dst, src, sizeBytes, kind, stream);
@@ -1235,7 +1237,6 @@ hipError_t hipMemcpyAsync(void* dst, const void* src, size_t sizeBytes, hipMemcp
return ihipLogStatus(hip_internal::memcpyAsync(dst, src, sizeBytes, kind, stream));
}
hipError_t hipMemcpyHtoDAsync(hipDeviceptr_t dst, void* src, size_t sizeBytes, hipStream_t stream) {
HIP_INIT_SPECIAL_API((TRACE_MCMD), dst, src, sizeBytes, stream);
@@ -1258,51 +1259,6 @@ hipError_t hipMemcpyDtoHAsync(void* dst, hipDeviceptr_t src, size_t sizeBytes, h
hip_internal::memcpyAsync(dst, src, sizeBytes, hipMemcpyDeviceToHost, stream));
}
// TODO - review and optimize
hipError_t ihipMemcpy2D(void* dst, size_t dpitch, const void* src, size_t spitch, size_t width,
size_t height, hipMemcpyKind kind) {
if (dst == nullptr || src == nullptr || width > dpitch || width > spitch) return hipErrorInvalidValue;
hipStream_t stream = ihipSyncAndResolveStream(hipStreamNull);
hc::completion_future marker;
hipError_t e = hipSuccess;
if((width == dpitch) && (width == spitch)) {
stream->locked_copySync((void*)dst, (void*)src, width*height, kind, false);
} else {
try {
for (int i = 0; i < height; ++i) {
stream->locked_copySync((unsigned char*)dst + i * dpitch,
(unsigned char*)src + i * spitch, width, kind);
}
} catch (ihipException& ex) {
e = ex._code;
}
}
return e;
}
hipError_t hipMemcpy2D(void* dst, size_t dpitch, const void* src, size_t spitch, size_t width,
size_t height, hipMemcpyKind kind) {
HIP_INIT_SPECIAL_API((TRACE_MCMD), dst, dpitch, src, spitch, width, height, kind);
hipError_t e = hipSuccess;
e = ihipMemcpy2D(dst, dpitch, src, spitch, width, height, kind);
return ihipLogStatus(e);
}
hipError_t hipMemcpyParam2D(const hip_Memcpy2D* pCopy) {
HIP_INIT_SPECIAL_API((TRACE_MCMD), pCopy);
hipError_t e = hipSuccess;
if (pCopy == nullptr) {
e = hipErrorInvalidValue;
}
e = ihipMemcpy2D(pCopy->dstArray->data, pCopy->widthInBytes, pCopy->srcHost, pCopy->srcPitch,
pCopy->widthInBytes, pCopy->height, hipMemcpyDefault);
return ihipLogStatus(e);
}
hipError_t hipMemcpy2DToArray(hipArray* dst, size_t wOffset, size_t hOffset, const void* src,
size_t spitch, size_t width, size_t height, hipMemcpyKind kind) {
HIP_INIT_SPECIAL_API((TRACE_MCMD), dst, wOffset, hOffset, src, spitch, width, height, kind);
@@ -1534,16 +1490,15 @@ inline const T& clamp_integer(const T& x, const T& lower, const T& upper) {
return std::min(upper, std::max(x, lower));
}
template <uint32_t block_dim, typename T>
__global__ void hip_copy_n(T* dst, const T* src, size_t n) {
const uint32_t grid_dim = gridDim.x * blockDim.x;
template <typename T>
__global__ void hip_copy2d_n(T* dst, const T* src, size_t width, size_t height, size_t destPitch, size_t srcPitch) {
size_t idx = blockIdx.x * block_dim + threadIdx.x;
while (idx < n) {
// __builtin_memcpy(reinterpret_cast<void*>(dst+idx), reinterpret_cast<const void*>(src+idx),
// sizeof(T));
dst[idx] = src[idx];
idx += grid_dim;
size_t idx = blockIdx.x * blockDim.x + threadIdx.x;
size_t idy = blockIdx.y * blockDim.y + threadIdx.y;
if((idx < width) && (idy < height)){
T *dstPtr = (T *)((uint8_t*) dst + idy * destPitch);
T *srcPtr = (T *)((uint8_t*) src + idy * srcPitch);
dstPtr[idx] = srcPtr[idx];
}
}
} // namespace
@@ -1559,13 +1514,12 @@ void ihipMemsetKernel(hipStream_t stream, T* ptr, T val, size_t sizeBytes) {
}
template <typename T>
void ihipMemcpyKernel(hipStream_t stream, T* dst, const T* src, size_t sizeBytes) {
static constexpr uint32_t block_dim_ = 256;
const uint32_t grid_dim = clamp_integer<size_t>(sizeBytes / block_dim_, 1, UINT32_MAX);
hipLaunchKernelGGL(hip_copy_n<block_dim_>, dim3(grid_dim), dim3{block_dim_}, 0u, stream, dst, src,
sizeBytes);
void ihipMemcpy2dKernel(hipStream_t stream, T* dst, const T* src, size_t width, size_t height, size_t destPitch, size_t srcPitch) {
size_t threadsPerBlock = 16;
uint32_t grid_dim_x = clamp_integer<size_t>( (width+(threadsPerBlock-1)) / threadsPerBlock, 1, UINT32_MAX);
uint32_t grid_dim_y = clamp_integer<size_t>( (height+(threadsPerBlock-1)) / threadsPerBlock, 1, UINT32_MAX);
hipLaunchKernelGGL(hip_copy2d_n, dim3(grid_dim_x,grid_dim_y), dim3(threadsPerBlock,threadsPerBlock), 0u, stream, dst, src,
width, height, destPitch, srcPitch);
}
typedef enum ihipMemsetDataType {
@@ -1643,6 +1597,50 @@ int isLockedPointer(const void *ptr)
return isLocked;
}
// TODO - review and optimize
hipError_t ihipMemcpy2D(void* dst, size_t dpitch, const void* src, size_t spitch, size_t width,
size_t height, hipMemcpyKind kind) {
if (dst == nullptr || src == nullptr || width > dpitch || width > spitch) return hipErrorInvalidValue;
hipStream_t stream = ihipSyncAndResolveStream(hipStreamNull);
int isLocked = 0;
if(kind == hipMemcpyHostToDevice) {
isLocked = isLockedPointer(src);
} else if(kind == hipMemcpyDeviceToHost) {
isLocked = isLockedPointer(dst);
}
hc::completion_future marker;
hipError_t e = hipSuccess;
if((width == dpitch) && (width == spitch)) {
stream->locked_copySync((void*)dst, (void*)src, width*height, kind, false);
} else {
try {
if(isLocked) {
for (int i = 0; i < height; ++i)
stream->locked_copySync((unsigned char*)dst + i * dpitch,
(unsigned char*)src + i * spitch, width, kind);
} else {
ihipMemcpy2dKernel<uint8_t> (stream, static_cast<uint8_t*> (dst), static_cast<const uint8_t*> (src), width, height, dpitch, spitch);
stream->locked_wait();
}
} catch (ihipException& ex) {
e = ex._code;
}
}
return e;
}
hipError_t hipMemcpy2D(void* dst, size_t dpitch, const void* src, size_t spitch, size_t width,
size_t height, hipMemcpyKind kind) {
HIP_INIT_SPECIAL_API((TRACE_MCMD), dst, dpitch, src, spitch, width, height, kind);
hipError_t e = hipSuccess;
e = ihipMemcpy2D(dst, dpitch, src, spitch, width, height, kind);
return ihipLogStatus(e);
}
hipError_t hipMemcpy2DAsync(void* dst, size_t dpitch, const void* src, size_t spitch, size_t width,
size_t height, hipMemcpyKind kind, hipStream_t stream) {
HIP_INIT_SPECIAL_API((TRACE_MCMD), dst, dpitch, src, spitch, width, height, kind, stream);
@@ -1658,14 +1656,12 @@ hipError_t hipMemcpy2DAsync(void* dst, size_t dpitch, const void* src, size_t sp
hip_internal::memcpyAsync(dst, src, width*height, kind, stream);
} else {
try {
for (int i = 0; i < height; ++i) {
if(!isLocked) {
if(!isLocked){
for (int i = 0; i < height; ++i)
e = hip_internal::memcpyAsync((unsigned char*)dst + i * dpitch,
(unsigned char*)src + i * spitch, width, kind, stream);
} else{
size_t sizeBytes = width*height;
ihipMemcpyKernel<uint32_t> (stream, static_cast<uint32_t*> (dst), static_cast<const uint32_t*> (src), sizeBytes/sizeof(uint32_t));
}
} else{
ihipMemcpy2dKernel<uint8_t> (stream, static_cast<uint8_t*> (dst), static_cast<const uint8_t*> (src), width, height, dpitch, spitch);
}
} catch (ihipException& ex) {
e = ex._code;
@@ -1675,6 +1671,17 @@ hipError_t hipMemcpy2DAsync(void* dst, size_t dpitch, const void* src, size_t sp
return ihipLogStatus(e);
}
hipError_t hipMemcpyParam2D(const hip_Memcpy2D* pCopy) {
HIP_INIT_SPECIAL_API((TRACE_MCMD), pCopy);
hipError_t e = hipSuccess;
if (pCopy == nullptr) {
e = hipErrorInvalidValue;
}
e = ihipMemcpy2D(pCopy->dstArray->data, pCopy->widthInBytes, pCopy->srcHost, pCopy->srcPitch,
pCopy->widthInBytes, pCopy->height, hipMemcpyDefault);
return ihipLogStatus(e);
}
// TODO-sync: function is async unless target is pinned host memory - then these are fully sync.
hipError_t hipMemsetAsync(void* dst, int value, size_t sizeBytes, hipStream_t stream) {
HIP_INIT_SPECIAL_API((TRACE_MCMD), dst, value, sizeBytes, stream);
hipamd/src/hip_module.cpp
+72 -11
Wyświetl plik
@@ -27,10 +27,11 @@ THE SOFTWARE.
#include "hsa_helpers.hpp"
#include "trace_helper.h"
#include <hsa/amd_hsa_kernel_code.h>
#include <hsa/hsa.h>
#include <hsa/hsa_ext_amd.h>
#include <hsa/amd_hsa_kernel_code.h>
#include <algorithm>
#include <cassert>
#include <cstdint>
#include <cstdio>
@@ -71,9 +72,8 @@ struct ihipKernArgInfo {
map<string, ihipKernArgInfo> kernelArguments;
struct ihipModuleSymbol_t {
uint64_t _object; // The kernel object.
uint32_t _groupSegmentSize;
uint32_t _privateSegmentSize;
uint64_t _object{}; // The kernel object.
amd_kernel_code_t const* _header{};
string _name; // TODO - review for performance cost. Name is just used for debug.
};
@@ -179,8 +179,10 @@ hipError_t ihipModuleLaunchKernel(hipFunction_t f, uint32_t globalWorkSizeX,
aql.grid_size_x = globalWorkSizeX;
aql.grid_size_y = globalWorkSizeY;
aql.grid_size_z = globalWorkSizeZ;
aql.group_segment_size = f->_groupSegmentSize + sharedMemBytes;
aql.private_segment_size = f->_privateSegmentSize;
aql.group_segment_size =
f->_header->workgroup_group_segment_byte_size + sharedMemBytes;
aql.private_segment_size =
f->_header->workitem_private_segment_byte_size;
aql.kernel_object = f->_object;
aql.setup = 3 << HSA_KERNEL_DISPATCH_PACKET_SETUP_DIMENSIONS;
aql.header =
@@ -444,10 +446,10 @@ hipError_t ihipModuleGetFunction(hipFunction_t* func, hipModule_t hmod, const ch
if (kernel.handle == 0u) return hipErrorNotFound;
(*func)->_object = kernel_object(kernel);
(*func)->_groupSegmentSize = group_size(kernel);
(*func)->_privateSegmentSize = private_size(kernel);
(*func)->_name = name;
// TODO: refactor the whole ihipThisThat, which is a mess and yields the
// below, due to hipFunction_t being a pointer to ihipModuleSymbol_t.
func[0][0] = *static_cast<hipFunction_t>(
Kernel_descriptor{kernel_object(kernel), name});
return hipSuccess;
}
@@ -471,6 +473,65 @@ hipError_t hipModuleGetGlobal(hipDeviceptr_t* dptr, size_t* bytes, hipModule_t h
return ihipLogStatus(r);
}
namespace
{
inline
hipFuncAttributes make_function_attributes(const amd_kernel_code_t& header)
{
hipFuncAttributes r{};
hipDeviceProp_t prop{};
hipGetDeviceProperties(
&prop, ihipGetTlsDefaultCtx()->getDevice()->_deviceId);
// TODO: at the moment there is no way to query the count of registers
// available per CU, therefore we hardcode it to 64 KiRegisters.
prop.regsPerBlock = prop.regsPerBlock ? prop.regsPerBlock : 64 * 1024;
r.localSizeBytes = header.workitem_private_segment_byte_size;
r.sharedSizeBytes = header.workgroup_group_segment_byte_size;
r.maxDynamicSharedSizeBytes =
prop.sharedMemPerBlock - r.sharedSizeBytes;
r.numRegs = header.workitem_vgpr_count;
r.maxThreadsPerBlock = r.numRegs ?
std::min(prop.maxThreadsPerBlock, prop.regsPerBlock / r.numRegs) :
prop.maxThreadsPerBlock;
r.binaryVersion =
header.amd_machine_version_major * 10 +
header.amd_machine_version_minor;
r.ptxVersion = prop.major * 10 + prop.minor; // HIP currently presents itself as PTX 3.0.
return r;
}
}
hipError_t hipFuncGetAttributes(hipFuncAttributes* attr, const void* func)
{
if (!attr) return hipErrorInvalidValue;
if (!func) return hipErrorInvalidDeviceFunction;
const auto it0 = functions().find(reinterpret_cast<uintptr_t>(func));
if (it0 == functions().cend()) return hipErrorInvalidDeviceFunction;
auto agent = this_agent();
const auto it1 = find_if(
it0->second.cbegin(),
it0->second.cend(),
[=](const pair<hsa_agent_t, Kernel_descriptor>& x) {
return x.first == agent;
});
if (it1 == it0->second.cend()) return hipErrorInvalidDeviceFunction;
const auto header = static_cast<hipFunction_t>(it1->second)->_header;
if (!header) throw runtime_error{"Ill-formed Kernel_descriptor."};
*attr = make_function_attributes(*header);
return hipSuccess;
}
hipError_t ihipModuleLoadData(hipModule_t* module, const void* image) {
if (!module) return hipErrorInvalidValue;
@@ -487,7 +548,7 @@ hipError_t ihipModuleLoadData(hipModule_t* module, const void* image) {
(*module)->executable = hip_impl::load_executable(
tmp.empty() ? read_elf_file_as_string(image) : tmp, (*module)->executable, this_agent());
return (*module)->executable.handle ? hipSuccess : hipErrorUnknown;
}
hipamd/src/program_state.cpp
+1 -2
Wyświetl plik
@@ -382,8 +382,7 @@ const unordered_map<uintptr_t, vector<pair<hsa_agent_t, Kernel_descriptor>>>& fu
for (auto&& kernel_symbol : it->second) {
r[function.first].emplace_back(
agent(kernel_symbol),
Kernel_descriptor{kernel_object(kernel_symbol), group_size(kernel_symbol),
private_size(kernel_symbol), it->first});
Kernel_descriptor{kernel_object(kernel_symbol), it->first});
}
}
}
hipamd/tests/src/deviceLib/hipMathFunctions.cpp
+1 -1
Wyświetl plik
@@ -21,7 +21,7 @@ THE SOFTWARE.
*/
/* HIT_START
* BUILD: %t %s ../test_common.cpp
* BUILD: %t %s ../test_common.cpp EXCLUDE_HIP_PLATFORM nvcc
* RUN: %t
* HIT_END
*/
hipamd/tests/src/deviceLib/hipTestHalf.cpp
+1 -1
Wyświetl plik
@@ -18,7 +18,7 @@ THE SOFTWARE.
*/
/* HIT_START
* BUILD: %t %s ../test_common.cpp
* BUILD: %t %s ../test_common.cpp EXCLUDE_HIP_PLATFORM nvcc
* RUN: %t
* HIT_END
*/
hipamd/tests/src/runtimeApi/module/hipFuncGetAttributes.cpp
+53
Wyświetl plik
@@ -0,0 +1,53 @@
/*
Copyright (c) 2015-Present Advanced Micro Devices, Inc. All rights reserved.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
*/
/* HIT_START
* BUILD: %t %s ../../test_common.cpp
* RUN: %t
* HIT_END
*/
#include <hip/hip_runtime_api.h>
#include <iostream>
#include "test_common.h"
__global__
void fn(float* px, float* py)
{
bool a[42];
__shared__ double b[69];
for (auto&& x : b) x = *py++;
for (auto&& x : a) x = *px++ > 0.0;
for (auto&& x : a) if (x) *--py = *--px;
}
int main() {
hipInit(0);
hipFuncAttributes attr{};
auto r = hipFuncGetAttributes(&attr, reinterpret_cast<const void*>(&fn));
if (r != hipSuccess || attr.maxThreadsPerBlock == 0) {
failed("Failed to read attributes.");
}
passed();
}