#include <stddef.h>
#include <stdbool.h>
#include <miopen/config.h>
#include <miopen/export.h>

Classes
struct	miopenConvAlgoPerf_t
	Perf struct for forward, backward filter, or backward data algorithms. More...

struct	miopenConvSolution_t
	Performance struct for forward, backward filter, or backward data algorithms in immediate mode. More...

struct	miopenTensorArgument_t
	Values of a tensor or scalar argument for the miopenRunSolution function. More...

Macros
#define	MIOPEN_DECLARE_OBJECT(name)

#define	MIOPEN_API_VERSION_REDUCE_TENSOR 1
	Version of TensorReduce API. Applications may use it to ensure backward compatibility with older library versions. More...

Typedefs
typedef void (	miopenAllocatorFunction) (void *context, size_t sizeBytes)
	Custom allocator function. More...

typedef void(*	miopenDeallocatorFunction) (void context, void memory)
	Custom deallocator function. More...

Enumerations
enum	miopenStatus_t { miopenStatusSuccess = 0 , miopenStatusNotInitialized = 1 , miopenStatusInvalidValue = 2 , miopenStatusBadParm = 3 , miopenStatusAllocFailed = 4 , miopenStatusInternalError = 5 , miopenStatusNotImplemented = 6 , miopenStatusUnknownError = 7 , miopenStatusUnsupportedOp = 8 , miopenStatusGpuOperationsSkipped = 9 , miopenStatusVersionMismatch = 10 }

enum	miopenF8RoundingMode_t { miopenF8RoundingModeStandard = 0 , miopenF8RoundingModeStochastic = 1 }

enum	miopenDataType_t { miopenHalf = 0 , miopenFloat = 1 , miopenInt32 = 2 , miopenInt8 = 3 , miopenBFloat16 = 5 , miopenDouble = 6 , miopenFloat8 = 7 , miopenBFloat8 = 8 , miopenInt64 = 9 }

enum	miopenTensorLayout_t { miopenTensorNCHW = 0 , miopenTensorNHWC = 1 , miopenTensorCHWN = 2 , miopenTensorNCHWc4 = 3 , miopenTensorNCHWc8 = 4 , miopenTensorCHWNc4 = 5 , miopenTensorCHWNc8 = 6 , miopenTensorNCDHW = 7 , miopenTensorNDHWC = 8 }

enum	miopenIndexType_t { miopenIndexUint8 = 0 , miopenIndexUint16 = 1 , miopenIndexUint32 = 2 , miopenIndexUint64 = 3 }

enum	miopenTensorOp_t { miopenTensorOpAdd = 0 , miopenTensorOpMul = 1 , miopenTensorOpMin = 2 , miopenTensorOpMax = 3 }

enum	miopenConvolutionMode_t { miopenConvolution = 0 , miopenTranspose = 1 , miopenGroupConv = 2 , miopenDepthwise = 3 }

enum	miopenPaddingMode_t { miopenPaddingDefault = 0 , miopenPaddingSame = 1 , miopenPaddingValid = 2 }

enum	miopenPoolingMode_t { miopenPoolingMax = 0 , miopenPoolingAverage = 1 , miopenPoolingAverageInclusive = 2 }

enum	miopenPoolingWorkspaceIndexMode_t { miopenPoolingWorkspaceIndexMask = 0 , miopenPoolingWorkspaceIndexImage = 1 }

enum	miopenLRNMode_t { miopenLRNWithinChannel = 0 , miopenLRNCrossChannel = 1 }

enum	miopenNormMode_t { MIOPEN_ELEMENTWISE_AFFINE = 0 , MIOPEN_WEIGHT_BIAS , MIOPEN_ELEMENTWISE_AFFINE_FUSED_ADD , MIOPEN_WEIGHT_BIAS_FUSED_ADD = 3 , MIOPEN_ELEMENTWISE_AFFINE_T5 , MIOPEN_WEIGHT_BIAS_T5 = 5 }

enum	miopenBatchNormMode_t { miopenBNPerActivation = 0 , miopenBNSpatial = 1 }

enum	miopenActivationMode_t { miopenActivationPASTHRU = 0 , miopenActivationLOGISTIC = 1 , miopenActivationTANH = 2 , miopenActivationRELU = 3 , miopenActivationSOFTRELU = 4 , miopenActivationABS = 5 , miopenActivationPOWER = 6 , miopenActivationCLIPPEDRELU , miopenActivationLEAKYRELU , miopenActivationELU }

enum	miopenSoftmaxAlgorithm_t { MIOPEN_SOFTMAX_FAST = 0 , MIOPEN_SOFTMAX_ACCURATE = 1 , MIOPEN_SOFTMAX_LOG = 2 }

enum	miopenSoftmaxMode_t { MIOPEN_SOFTMAX_MODE_INSTANCE = 0 , MIOPEN_SOFTMAX_MODE_CHANNEL }

enum	miopenReduceTensorOp_t { MIOPEN_REDUCE_TENSOR_ADD = 0 , MIOPEN_REDUCE_TENSOR_MUL , MIOPEN_REDUCE_TENSOR_MIN , MIOPEN_REDUCE_TENSOR_MAX , MIOPEN_REDUCE_TENSOR_AMAX , MIOPEN_REDUCE_TENSOR_AVG , MIOPEN_REDUCE_TENSOR_NORM1 , MIOPEN_REDUCE_TENSOR_NORM2 = 7 }

enum	miopenNanPropagation_t { MIOPEN_NOT_PROPAGATE_NAN = 0 , MIOPEN_PROPAGATE_NAN = 1 }

enum	miopenReduceTensorIndices_t { MIOPEN_REDUCE_TENSOR_NO_INDICES = 0 , MIOPEN_REDUCE_TENSOR_FLATTENED_INDICES = 1 }

enum	miopenIndicesType_t { MIOPEN_32BIT_INDICES = 0 , MIOPEN_64BIT_INDICES = 1 , MIOPEN_16BIT_INDICES = 2 , MIOPEN_8BIT_INDICES = 3 }

enum	miopenConvolutionAttrib_t { MIOPEN_CONVOLUTION_ATTRIB_FP16_ALT_IMPL , MIOPEN_CONVOLUTION_ATTRIB_DETERMINISTIC , MIOPEN_CONVOLUTION_ATTRIB_FP8_ROUNDING_MODE }

enum	miopenConvFwdAlgorithm_t { miopenConvolutionFwdAlgoGEMM = 0 , miopenConvolutionFwdAlgoDirect = 1 , miopenConvolutionFwdAlgoFFT = 2 , miopenConvolutionFwdAlgoWinograd = 3 , miopenConvolutionFwdAlgoImplicitGEMM = 5 }

enum	miopenConvBwdWeightsAlgorithm_t { miopenConvolutionBwdWeightsAlgoGEMM = 0 , miopenConvolutionBwdWeightsAlgoDirect = 1 , miopenConvolutionBwdWeightsAlgoWinograd = 3 , miopenConvolutionBwdWeightsAlgoImplicitGEMM = 5 }

enum	miopenConvBwdDataAlgorithm_t { miopenConvolutionBwdDataAlgoGEMM = 0 , miopenConvolutionBwdDataAlgoDirect = 1 , miopenConvolutionBwdDataAlgoFFT = 2 , miopenConvolutionBwdDataAlgoWinograd = 3 , miopenTransposeBwdDataAlgoGEMM , miopenConvolutionBwdDataAlgoImplicitGEMM = 5 }

enum	miopenConvAlgorithm_t { miopenConvolutionAlgoGEMM = 0 , miopenConvolutionAlgoDirect = 1 , miopenConvolutionAlgoFFT = 2 , miopenConvolutionAlgoWinograd = 3 , miopenConvolutionAlgoImplicitGEMM = 5 }

enum	miopenFusionDirection_t { miopenVerticalFusion = 0 , miopenHorizontalFusion = 1 }
	Kernel fusion direction in the network. More...

enum	miopenRNNMode_t { miopenRNNRELU = 0 , miopenRNNTANH = 1 , miopenLSTM = 2 , miopenGRU = 3 }

enum	miopenRNNInputMode_t { miopenRNNlinear = 0 , miopenRNNskip = 1 }

enum	miopenRNNAlgo_t { miopenRNNdefault = 0 , miopenRNNfundamental }

enum	miopenRNNDirectionMode_t { miopenRNNunidirection = 0 , miopenRNNbidirection = 1 }

enum	miopenRNNBiasMode_t { miopenRNNNoBias = 0 , miopenRNNwithBias = 1 }

enum	miopenRNNGEMMalgoMode_t { miopenRNNAlgoGEMM = 0 }

enum	miopenRNNPaddingMode_t { miopenRNNIONotPadded = 0 , miopenRNNIOWithPadding = 1 }

enum	miopenRNNFWDMode_t { miopenRNNTraining = 0 , miopenRNNInference = 1 }

enum	miopenRNNBaseLayout_t { miopenRNNDataUnknownLayout = 0 , miopenRNNDataSeqMajorNotPadded = 1 , miopenRNNDataSeqMajorPadded = 2 , miopenRNNDataBatchMajorPadded = 3 }

enum	miopenCTCLossAlgo_t { MIOPEN_CTC_LOSS_ALGO_DETERMINISTIC = 0 }

enum	miopenRNGType_t { MIOPEN_RNG_PSEUDO_XORWOW = 0 }

enum	miopenProblemDirection_t { miopenProblemDirectionForward = 0 , miopenProblemDirectionBackward = 1 , miopenProblemDirectionBackwardWeights = 2 , miopenProblemDirectionInference = 4 }

enum	miopenTensorArgumentId_t { miopenTensorArgumentIdInvalid = 0 , miopenTensorConvolutionX = 1 , miopenTensorConvolutionW = 2 , miopenTensorConvolutionY = 3 , miopenTensorMhaK = 4 , miopenTensorMhaQ = 5 , miopenTensorMhaV = 6 , miopenTensorMhaDescaleK = 7 , miopenTensorMhaDescaleQ = 8 , miopenTensorMhaDescaleV = 9 , miopenTensorMhaDescaleS = 10 , miopenTensorMhaScaleS = 11 , miopenTensorMhaScaleO = 12 , miopenTensorMhaDropoutProbability = 13 , miopenTensorMhaDropoutSeed = 14 , miopenTensorMhaDropoutOffset = 15 , miopenTensorMhaO = 16 , miopenTensorMhaAmaxO = 17 , miopenTensorMhaAmaxS = 18 , miopenTensorMhaM = 19 , miopenTensorMhaZInv = 20 , miopenTensorMhaDO = 21 , miopenTensorMhaDescaleO = 22 , miopenTensorMhaDescaleDO = 23 , miopenTensorMhaDescaleDS = 24 , miopenTensorMhaScaleDS = 25 , miopenTensorMhaScaleDQ = 26 , miopenTensorMhaScaleDK = 27 , miopenTensorMhaScaleDV = 28 , miopenTensorMhaDQ = 29 , miopenTensorMhaDK = 30 , miopenTensorMhaDV = 31 , miopenTensorMhaAmaxDQ = 32 , miopenTensorMhaAmaxDK = 33 , miopenTensorMhaAmaxDV = 34 , miopenTensorMhaAmaxDS = 35 , miopenTensorMhaBias = 36 , miopenTensorActivationX = 37 , miopenTensorActivationY = 38 , miopenTensorActivationDX = 39 , miopenTensorActivationDY = 40 , miopenTensorBiasX = 41 , miopenTensorBiasY = 42 , miopenTensorBias = 43 , miopenTensorSoftmaxX = 44 , miopenTensorSoftmaxY = 45 , miopenTensorSoftmaxDX = 46 , miopenTensorSoftmaxDY = 47 , miopenTensorBatchnormX = 48 , miopenTensorBatchnormY = 49 , miopenTensorBatchnormRunningMean = 50 , miopenTensorBatchnormRunningVariance = 51 , miopenTensorBatchnormSavedMean = 52 , miopenTensorBatchnormSavedVariance = 53 , miopenTensorBatchnormScale = 54 , miopenTensorBatchnormScaleDiff = 55 , miopenTensorBatchnormEstimatedMean = 56 , miopenTensorBatchnormEstimatedVariance = 57 , miopenTensorBatchnormBias = 58 , miopenTensorBatchnormBiasDiff = 59 , miopenTensorBatchnormDX = 60 , miopenTensorBatchnormDY = 61 , miopenTensorArgumentIsScalar = 1U << 31 , miopenTensorMhaMask = miopenTensorArgumentIsScalar \| 1 , miopenScalarBatchnormExpAvgFactor = miopenTensorArgumentIsScalar \| 2 , miopenScalarBatchnormEpsilon = miopenTensorArgumentIsScalar \| 3 }

enum	miopenFindResultsOrder_t { miopenFindResultsOrderByTime = 0 , miopenFindResultsOrderByWorkspaceSize = 1 }

enum	miopenMhaMask_t { miopenMhaMaskNone = 0 , miopenMhaMaskCausal = 1 }
	Initializes a problem object describing a Mha operation. More...

enum	miopenReduceCalculationNanPropagation_t { MIOPEN_REDUCE_CALCULATION_NOT_PROPAGATE_NAN = 0 , MIOPEN_REDUCE_CALCULATION_PROPAGATE_NAN }

enum	miopenReduceCalculationOp_t { MIOPEN_REDUCE_CALCULATION_PROD , MIOPEN_REDUCE_CALCULATION_SUM }

enum	miopenReduceExtremeOp_t { MIOPEN_REDUCE_EXTREME_ARGMIN , MIOPEN_REDUCE_EXTREME_ARGMAX , MIOPEN_REDUCE_EXTREME_MIN , MIOPEN_REDUCE_EXTREME_MAX }

enum	miopenBackendDescriptorType_t { MIOPEN_BACKEND_CONVOLUTION_DESCRIPTOR , MIOPEN_BACKEND_ENGINE_DESCRIPTOR , MIOPEN_BACKEND_ENGINECFG_DESCRIPTOR , MIOPEN_BACKEND_ENGINEHEUR_DESCRIPTOR , MIOPEN_BACKEND_EXECUTION_PLAN_DESCRIPTOR , MIOPEN_BACKEND_INTERMEDIATE_INFO_DESCRIPTOR , MIOPEN_BACKEND_KNOB_CHOICE_DESCRIPTOR , MIOPEN_BACKEND_KNOB_INFO_DESCRIPTOR , MIOPEN_BACKEND_LAYOUT_INFO_DESCRIPTOR , MIOPEN_BACKEND_MATMUL_DESCRIPTOR , MIOPEN_BACKEND_OPERATION_CONCAT_DESCRIPTOR , MIOPEN_BACKEND_OPERATION_CONVOLUTION_BACKWARD_DATA_DESCRIPTOR , MIOPEN_BACKEND_OPERATION_CONVOLUTION_BACKWARD_FILTER_DESCRIPTOR , MIOPEN_BACKEND_OPERATION_CONVOLUTION_FORWARD_DESCRIPTOR , MIOPEN_BACKEND_OPERATION_GEN_STATS_DESCRIPTOR , MIOPEN_BACKEND_OPERATION_MATMUL_DESCRIPTOR , MIOPEN_BACKEND_OPERATION_NORM_BACKWARD_DESCRIPTOR , MIOPEN_BACKEND_OPERATION_NORM_FORWARD_DESCRIPTOR , MIOPEN_BACKEND_OPERATION_POINTWISE_DESCRIPTOR , MIOPEN_BACKEND_OPERATION_REDUCTION_DESCRIPTOR , MIOPEN_BACKEND_OPERATION_RESAMPLE_BWD_DESCRIPTOR , MIOPEN_BACKEND_OPERATION_RESAMPLE_FWD_DESCRIPTOR , MIOPEN_BACKEND_OPERATION_RESHAPE_DESCRIPTOR , MIOPEN_BACKEND_OPERATION_RNG_DESCRIPTOR , MIOPEN_BACKEND_OPERATION_SIGNAL_DESCRIPTOR , MIOPEN_BACKEND_OPERATIONGRAPH_DESCRIPTOR , MIOPEN_BACKEND_POINTWISE_DESCRIPTOR , MIOPEN_BACKEND_REDUCTION_DESCRIPTOR , MIOPEN_BACKEND_RESAMPLE_DESCRIPTOR , MIOPEN_BACKEND_RNG_DESCRIPTOR , MIOPEN_BACKEND_TENSOR_DESCRIPTOR , MIOPEN_BACKEND_VARIANT_PACK_DESCRIPTOR }
	Descriptor type. More...

enum	miopenBackendAttributeName_t { MIOPEN_ATTR_POINTWISE_MODE = 0 , MIOPEN_ATTR_POINTWISE_MATH_PREC = 1 , MIOPEN_ATTR_POINTWISE_NAN_PROPAGATION = 2 , MIOPEN_ATTR_POINTWISE_RELU_LOWER_CLIP = 3 , MIOPEN_ATTR_POINTWISE_RELU_UPPER_CLIP = 4 , MIOPEN_ATTR_POINTWISE_RELU_LOWER_CLIP_SLOPE = 5 , MIOPEN_ATTR_POINTWISE_ELU_ALPHA = 6 , MIOPEN_ATTR_POINTWISE_SOFTPLUS_BETA = 7 , MIOPEN_ATTR_POINTWISE_SWISH_BETA = 8 , MIOPEN_ATTR_POINTWISE_AXIS = 9 , MIOPEN_ATTR_CONVOLUTION_COMP_TYPE = 100 , MIOPEN_ATTR_CONVOLUTION_CONV_MODE = 101 , MIOPEN_ATTR_CONVOLUTION_DILATIONS = 102 , MIOPEN_ATTR_CONVOLUTION_FILTER_STRIDES = 103 , MIOPEN_ATTR_CONVOLUTION_POST_PADDINGS = 104 , MIOPEN_ATTR_CONVOLUTION_PRE_PADDINGS = 105 , MIOPEN_ATTR_CONVOLUTION_SPATIAL_DIMS = 106 , MIOPEN_ATTR_ENGINEHEUR_MODE = 200 , MIOPEN_ATTR_ENGINEHEUR_OPERATION_GRAPH = 201 , MIOPEN_ATTR_ENGINEHEUR_RESULTS = 202 , MIOPEN_ATTR_ENGINEHEUR_SM_COUNT_TARGET = 203 , MIOPEN_ATTR_ENGINECFG_ENGINE = 300 , MIOPEN_ATTR_ENGINECFG_INTERMEDIATE_INFO = 301 , MIOPEN_ATTR_ENGINECFG_KNOB_CHOICES = 302 , MIOPEN_ATTR_EXECUTION_PLAN_HANDLE = 400 , MIOPEN_ATTR_EXECUTION_PLAN_ENGINE_CONFIG = 401 , MIOPEN_ATTR_EXECUTION_PLAN_WORKSPACE_SIZE = 402 , MIOPEN_ATTR_EXECUTION_PLAN_COMPUTED_INTERMEDIATE_UIDS = 403 , MIOPEN_ATTR_EXECUTION_PLAN_RUN_ONLY_INTERMEDIATE_UIDS = 404 , MIOPEN_ATTR_EXECUTION_PLAN_JSON_REPRESENTATION = 405 , MIOPEN_ATTR_INTERMEDIATE_INFO_UNIQUE_ID = 500 , MIOPEN_ATTR_INTERMEDIATE_INFO_SIZE = 501 , MIOPEN_ATTR_INTERMEDIATE_INFO_DEPENDENT_DATA_UIDS = 502 , MIOPEN_ATTR_INTERMEDIATE_INFO_DEPENDENT_ATTRIBUTES = 503 , MIOPEN_ATTR_KNOB_CHOICE_KNOB_TYPE = 600 , MIOPEN_ATTR_KNOB_CHOICE_KNOB_VALUE = 601 , MIOPEN_ATTR_OPERATION_CONVOLUTION_FORWARD_ALPHA = 700 , MIOPEN_ATTR_OPERATION_CONVOLUTION_FORWARD_BETA = 701 , MIOPEN_ATTR_OPERATION_CONVOLUTION_FORWARD_CONV_DESC = 702 , MIOPEN_ATTR_OPERATION_CONVOLUTION_FORWARD_W = 703 , MIOPEN_ATTR_OPERATION_CONVOLUTION_FORWARD_X = 704 , MIOPEN_ATTR_OPERATION_CONVOLUTION_FORWARD_Y = 705 , MIOPEN_ATTR_OPERATION_CONVOLUTION_BWD_DATA_ALPHA = 706 , MIOPEN_ATTR_OPERATION_CONVOLUTION_BWD_DATA_BETA = 707 , MIOPEN_ATTR_OPERATION_CONVOLUTION_BWD_DATA_CONV_DESC = 708 , MIOPEN_ATTR_OPERATION_CONVOLUTION_BWD_DATA_W = 709 , MIOPEN_ATTR_OPERATION_CONVOLUTION_BWD_DATA_DX = 710 , MIOPEN_ATTR_OPERATION_CONVOLUTION_BWD_DATA_DY = 711 , MIOPEN_ATTR_OPERATION_CONVOLUTION_BWD_FILTER_ALPHA = 712 , MIOPEN_ATTR_OPERATION_CONVOLUTION_BWD_FILTER_BETA = 713 , MIOPEN_ATTR_OPERATION_CONVOLUTION_BWD_FILTER_CONV_DESC = 714 , MIOPEN_ATTR_OPERATION_CONVOLUTION_BWD_FILTER_DW = 715 , MIOPEN_ATTR_OPERATION_CONVOLUTION_BWD_FILTER_X = 716 , MIOPEN_ATTR_OPERATION_CONVOLUTION_BWD_FILTER_DY = 717 , MIOPEN_ATTR_OPERATION_POINTWISE_PW_DESCRIPTOR = 750 , MIOPEN_ATTR_OPERATION_POINTWISE_XDESC = 751 , MIOPEN_ATTR_OPERATION_POINTWISE_BDESC = 752 , MIOPEN_ATTR_OPERATION_POINTWISE_YDESC = 753 , MIOPEN_ATTR_OPERATION_POINTWISE_ALPHA1 = 754 , MIOPEN_ATTR_OPERATION_POINTWISE_ALPHA2 = 755 , MIOPEN_ATTR_OPERATION_POINTWISE_DXDESC = 756 , MIOPEN_ATTR_OPERATION_POINTWISE_DYDESC = 757 , MIOPEN_ATTR_OPERATION_POINTWISE_TDESC = 758 , MIOPEN_ATTR_OPERATION_GENSTATS_MODE = 770 , MIOPEN_ATTR_OPERATION_GENSTATS_MATH_PREC = 771 , MIOPEN_ATTR_OPERATION_GENSTATS_XDESC = 772 , MIOPEN_ATTR_OPERATION_GENSTATS_SUMDESC = 773 , MIOPEN_ATTR_OPERATION_GENSTATS_SQSUMDESC = 774 , MIOPEN_ATTR_OPERATION_BN_FINALIZE_STATS_MODE = 780 , MIOPEN_ATTR_OPERATION_BN_FINALIZE_MATH_PREC = 781 , MIOPEN_ATTR_OPERATION_BN_FINALIZE_Y_SUM_DESC = 782 , MIOPEN_ATTR_OPERATION_BN_FINALIZE_Y_SQ_SUM_DESC = 783 , MIOPEN_ATTR_OPERATION_BN_FINALIZE_SCALE_DESC = 784 , MIOPEN_ATTR_OPERATION_BN_FINALIZE_BIAS_DESC = 785 , MIOPEN_ATTR_OPERATION_BN_FINALIZE_PREV_RUNNING_MEAN_DESC = 786 , MIOPEN_ATTR_OPERATION_BN_FINALIZE_PREV_RUNNING_VAR_DESC = 787 , MIOPEN_ATTR_OPERATION_BN_FINALIZE_UPDATED_RUNNING_MEAN_DESC = 788 , MIOPEN_ATTR_OPERATION_BN_FINALIZE_UPDATED_RUNNING_VAR_DESC = 789 , MIOPEN_ATTR_OPERATION_BN_FINALIZE_SAVED_MEAN_DESC = 790 , MIOPEN_ATTR_OPERATION_BN_FINALIZE_SAVED_INV_STD_DESC = 791 , MIOPEN_ATTR_OPERATION_BN_FINALIZE_EQ_SCALE_DESC = 792 , MIOPEN_ATTR_OPERATION_BN_FINALIZE_EQ_BIAS_DESC = 793 , MIOPEN_ATTR_OPERATION_BN_FINALIZE_ACCUM_COUNT_DESC = 794 , MIOPEN_ATTR_OPERATION_BN_FINALIZE_EPSILON_DESC = 795 , MIOPEN_ATTR_OPERATION_BN_FINALIZE_EXP_AVERATE_FACTOR_DESC = 796 , MIOPEN_ATTR_OPERATIONGRAPH_HANDLE = 800 , MIOPEN_ATTR_OPERATIONGRAPH_OPS = 801 , MIOPEN_ATTR_OPERATIONGRAPH_ENGINE_GLOBAL_COUNT = 802 , MIOPEN_ATTR_TENSOR_BYTE_ALIGNMENT = 900 , MIOPEN_ATTR_TENSOR_DATA_TYPE = 901 , MIOPEN_ATTR_TENSOR_DIMENSIONS = 902 , MIOPEN_ATTR_TENSOR_STRIDES = 903 , MIOPEN_ATTR_TENSOR_VECTOR_COUNT = 904 , MIOPEN_ATTR_TENSOR_VECTORIZED_DIMENSION = 905 , MIOPEN_ATTR_TENSOR_UNIQUE_ID = 906 , MIOPEN_ATTR_TENSOR_IS_VIRTUAL = 907 , MIOPEN_ATTR_TENSOR_IS_BY_VALUE = 908 , MIOPEN_ATTR_TENSOR_REORDERING_MODE = 909 , MIOPEN_ATTR_TENSOR_RAGGED_OFFSET_DESC = 910 , MIOPEN_ATTR_VARIANT_PACK_UNIQUE_IDS = 1000 , MIOPEN_ATTR_VARIANT_PACK_DATA_POINTERS = 1001 , MIOPEN_ATTR_VARIANT_PACK_INTERMEDIATES = 1002 , MIOPEN_ATTR_VARIANT_PACK_WORKSPACE = 1003 , MIOPEN_ATTR_LAYOUT_INFO_TENSOR_UID = 1100 , MIOPEN_ATTR_LAYOUT_INFO_TYPES = 1101 , MIOPEN_ATTR_KNOB_INFO_TYPE = 1200 , MIOPEN_ATTR_KNOB_INFO_MAXIMUM_VALUE = 1201 , MIOPEN_ATTR_KNOB_INFO_MINIMUM_VALUE = 1202 , MIOPEN_ATTR_KNOB_INFO_STRIDE = 1203 , MIOPEN_ATTR_ENGINE_OPERATION_GRAPH = 1300 , MIOPEN_ATTR_ENGINE_GLOBAL_INDEX = 1301 , MIOPEN_ATTR_ENGINE_KNOB_INFO = 1302 , MIOPEN_ATTR_ENGINE_NUMERICAL_NOTE = 1303 , MIOPEN_ATTR_ENGINE_LAYOUT_INFO = 1304 , MIOPEN_ATTR_ENGINE_BEHAVIOR_NOTE = 1305 , MIOPEN_ATTR_ENGINE_SM_COUNT_TARGET = 1306 , MIOPEN_ATTR_MATMUL_COMP_TYPE = 1500 , MIOPEN_ATTR_MATMUL_PADDING_VALUE = 1501 , MIOPEN_ATTR_OPERATION_MATMUL_ADESC = 1520 , MIOPEN_ATTR_OPERATION_MATMUL_BDESC = 1521 , MIOPEN_ATTR_OPERATION_MATMUL_CDESC = 1522 , MIOPEN_ATTR_OPERATION_MATMUL_DESC = 1523 , MIOPEN_ATTR_OPERATION_MATMUL_IRREGULARLY_STRIDED_BATCH_COUNT = 1524 , MIOPEN_ATTR_OPERATION_MATMUL_GEMM_M_OVERRIDE_DESC = 1525 , MIOPEN_ATTR_OPERATION_MATMUL_GEMM_N_OVERRIDE_DESC = 1526 , MIOPEN_ATTR_OPERATION_MATMUL_GEMM_K_OVERRIDE_DESC = 1527 , MIOPEN_ATTR_REDUCTION_OPERATOR = 1600 , MIOPEN_ATTR_REDUCTION_COMP_TYPE = 1601 , MIOPEN_ATTR_OPERATION_REDUCTION_XDESC = 1610 , MIOPEN_ATTR_OPERATION_REDUCTION_YDESC = 1611 , MIOPEN_ATTR_OPERATION_REDUCTION_DESC = 1612 , MIOPEN_ATTR_OPERATION_BN_BWD_WEIGHTS_MATH_PREC = 1620 , MIOPEN_ATTR_OPERATION_BN_BWD_WEIGHTS_MEAN_DESC = 1621 , MIOPEN_ATTR_OPERATION_BN_BWD_WEIGHTS_INVSTD_DESC = 1622 , MIOPEN_ATTR_OPERATION_BN_BWD_WEIGHTS_BN_SCALE_DESC = 1623 , MIOPEN_ATTR_OPERATION_BN_BWD_WEIGHTS_X_DESC = 1624 , MIOPEN_ATTR_OPERATION_BN_BWD_WEIGHTS_DY_DESC = 1625 , MIOPEN_ATTR_OPERATION_BN_BWD_WEIGHTS_DBN_SCALE_DESC = 1626 , MIOPEN_ATTR_OPERATION_BN_BWD_WEIGHTS_DBN_BIAS_DESC = 1627 , MIOPEN_ATTR_OPERATION_BN_BWD_WEIGHTS_EQ_DY_SCALE_DESC = 1628 , MIOPEN_ATTR_OPERATION_BN_BWD_WEIGHTS_EQ_X_SCALE_DESC = 1629 , MIOPEN_ATTR_OPERATION_BN_BWD_WEIGHTS_EQ_BIAS = 1630 , MIOPEN_ATTR_RESAMPLE_MODE = 1700 , MIOPEN_ATTR_RESAMPLE_COMP_TYPE = 1701 , MIOPEN_ATTR_RESAMPLE_SPATIAL_DIMS = 1702 , MIOPEN_ATTR_RESAMPLE_POST_PADDINGS = 1703 , MIOPEN_ATTR_RESAMPLE_PRE_PADDINGS = 1704 , MIOPEN_ATTR_RESAMPLE_STRIDES = 1705 , MIOPEN_ATTR_RESAMPLE_WINDOW_DIMS = 1706 , MIOPEN_ATTR_RESAMPLE_NAN_PROPAGATION = 1707 , MIOPEN_ATTR_RESAMPLE_PADDING_MODE = 1708 , MIOPEN_ATTR_OPERATION_RESAMPLE_FWD_XDESC = 1710 , MIOPEN_ATTR_OPERATION_RESAMPLE_FWD_YDESC = 1711 , MIOPEN_ATTR_OPERATION_RESAMPLE_FWD_IDXDESC = 1712 , MIOPEN_ATTR_OPERATION_RESAMPLE_FWD_ALPHA = 1713 , MIOPEN_ATTR_OPERATION_RESAMPLE_FWD_BETA = 1714 , MIOPEN_ATTR_OPERATION_RESAMPLE_FWD_DESC = 1716 , MIOPEN_ATTR_OPERATION_RESAMPLE_BWD_DXDESC = 1720 , MIOPEN_ATTR_OPERATION_RESAMPLE_BWD_DYDESC = 1721 , MIOPEN_ATTR_OPERATION_RESAMPLE_BWD_IDXDESC = 1722 , MIOPEN_ATTR_OPERATION_RESAMPLE_BWD_ALPHA = 1723 , MIOPEN_ATTR_OPERATION_RESAMPLE_BWD_BETA = 1724 , MIOPEN_ATTR_OPERATION_RESAMPLE_BWD_DESC = 1725 , MIOPEN_ATTR_OPERATION_RESAMPLE_BWD_XDESC = 1726 , MIOPEN_ATTR_OPERATION_RESAMPLE_BWD_YDESC = 1727 , MIOPEN_ATTR_OPERATION_CONCAT_AXIS = 1800 , MIOPEN_ATTR_OPERATION_CONCAT_INPUT_DESCS = 1801 , MIOPEN_ATTR_OPERATION_CONCAT_INPLACE_INDEX = 1802 , MIOPEN_ATTR_OPERATION_CONCAT_OUTPUT_DESC = 1803 , MIOPEN_ATTR_OPERATION_SIGNAL_MODE = 1900 , MIOPEN_ATTR_OPERATION_SIGNAL_FLAGDESC = 1901 , MIOPEN_ATTR_OPERATION_SIGNAL_VALUE = 1902 , MIOPEN_ATTR_OPERATION_SIGNAL_XDESC = 1903 , MIOPEN_ATTR_OPERATION_SIGNAL_YDESC = 1904 , MIOPEN_ATTR_OPERATION_NORM_FWD_MODE = 2000 , MIOPEN_ATTR_OPERATION_NORM_FWD_PHASE = 2001 , MIOPEN_ATTR_OPERATION_NORM_FWD_XDESC = 2002 , MIOPEN_ATTR_OPERATION_NORM_FWD_MEAN_DESC = 2003 , MIOPEN_ATTR_OPERATION_NORM_FWD_INV_VARIANCE_DESC = 2004 , MIOPEN_ATTR_OPERATION_NORM_FWD_SCALE_DESC = 2005 , MIOPEN_ATTR_OPERATION_NORM_FWD_BIAS_DESC = 2006 , MIOPEN_ATTR_OPERATION_NORM_FWD_EPSILON_DESC = 2007 , MIOPEN_ATTR_OPERATION_NORM_FWD_EXP_AVG_FACTOR_DESC = 2008 , MIOPEN_ATTR_OPERATION_NORM_FWD_INPUT_RUNNING_MEAN_DESC = 2009 , MIOPEN_ATTR_OPERATION_NORM_FWD_INPUT_RUNNING_VAR_DESC = 2010 , MIOPEN_ATTR_OPERATION_NORM_FWD_OUTPUT_RUNNING_MEAN_DESC = 2011 , MIOPEN_ATTR_OPERATION_NORM_FWD_OUTPUT_RUNNING_VAR_DESC = 2012 , MIOPEN_ATTR_OPERATION_NORM_FWD_YDESC = 2013 , MIOPEN_ATTR_OPERATION_NORM_FWD_PEER_STAT_DESCS = 2014 , MIOPEN_ATTR_OPERATION_NORM_BWD_MODE = 2100 , MIOPEN_ATTR_OPERATION_NORM_BWD_XDESC = 2101 , MIOPEN_ATTR_OPERATION_NORM_BWD_MEAN_DESC = 2102 , MIOPEN_ATTR_OPERATION_NORM_BWD_INV_VARIANCE_DESC = 2103 , MIOPEN_ATTR_OPERATION_NORM_BWD_DYDESC = 2104 , MIOPEN_ATTR_OPERATION_NORM_BWD_SCALE_DESC = 2105 , MIOPEN_ATTR_OPERATION_NORM_BWD_EPSILON_DESC = 2106 , MIOPEN_ATTR_OPERATION_NORM_BWD_DSCALE_DESC = 2107 , MIOPEN_ATTR_OPERATION_NORM_BWD_DBIAS_DESC = 2108 , MIOPEN_ATTR_OPERATION_NORM_BWD_DXDESC = 2109 , MIOPEN_ATTR_OPERATION_NORM_BWD_PEER_STAT_DESCS = 2110 , MIOPEN_ATTR_OPERATION_RESHAPE_XDESC = 2200 , MIOPEN_ATTR_OPERATION_RESHAPE_YDESC = 2201 , MIOPEN_ATTR_RNG_DISTRIBUTION = 2300 , MIOPEN_ATTR_RNG_NORMAL_DIST_MEAN = 2301 , MIOPEN_ATTR_RNG_NORMAL_DIST_STANDARD_DEVIATION = 2302 , MIOPEN_ATTR_RNG_UNIFORM_DIST_MAXIMUM = 2303 , MIOPEN_ATTR_RNG_UNIFORM_DIST_MINIMUM = 2304 , MIOPEN_ATTR_RNG_BERNOULLI_DIST_PROBABILITY = 2305 , MIOPEN_ATTR_OPERATION_RNG_YDESC = 2310 , MIOPEN_ATTR_OPERATION_RNG_SEED = 2311 , MIOPEN_ATTR_OPERATION_RNG_DESC = 2312 , MIOPEN_ATTR_OPERATION_RNG_OFFSET_DESC = 2313 }
	Backend Descriptor's Attribute. More...

enum	miopenBackendAttributeType_t { MIOPEN_TYPE_HANDLE = 0 , MIOPEN_TYPE_DATA_TYPE , MIOPEN_TYPE_BOOLEAN , MIOPEN_TYPE_INT64 , MIOPEN_TYPE_FLOAT , MIOPEN_TYPE_DOUBLE , MIOPEN_TYPE_VOID_PTR , MIOPEN_TYPE_CONVOLUTION_MODE , MIOPEN_TYPE_HEUR_MODE , MIOPEN_TYPE_KNOB_TYPE , MIOPEN_TYPE_NAN_PROPOGATION , MIOPEN_TYPE_NUMERICAL_NOTE , MIOPEN_TYPE_LAYOUT_TYPE , MIOPEN_TYPE_ATTRIB_NAME , MIOPEN_TYPE_POINTWISE_MODE , MIOPEN_TYPE_BACKEND_DESCRIPTOR , MIOPEN_TYPE_GENSTATS_MODE , MIOPEN_TYPE_BN_FINALIZE_STATS_MODE , MIOPEN_TYPE_REDUCTION_OPERATOR_TYPE , MIOPEN_TYPE_BEHAVIOR_NOTE , MIOPEN_TYPE_TENSOR_REORDERING_MODE , MIOPEN_TYPE_RESAMPLE_MODE , MIOPEN_TYPE_PADDING_MODE , MIOPEN_TYPE_INT32 , MIOPEN_TYPE_CHAR , MIOPEN_TYPE_SIGNAL_MODE , MIOPEN_TYPE_FRACTION , MIOPEN_TYPE_NORM_MODE , MIOPEN_TYPE_NORM_FWD_PHASE , MIOPEN_TYPE_RNG_DISTRIBUTION }
	Data type of an attribute of a backend descriptor. More...

enum	miopenPointwiseMode_t { MIOPEN_POINTWISE_ADD , MIOPEN_POINTWISE_ADD_SQUARE , MIOPEN_POINTWISE_DIV , MIOPEN_POINTWISE_MAX , MIOPEN_POINTWISE_MIN , MIOPEN_POINTWISE_MOD , MIOPEN_POINTWISE_MUL , MIOPEN_POINTWISE_POW , MIOPEN_POINTWISE_SUB , MIOPEN_POINTWISE_ABS , MIOPEN_POINTWISE_CEIL , MIOPEN_POINTWISE_COS , MIOPEN_POINTWISE_EXP , MIOPEN_POINTWISE_FLOOR , MIOPEN_POINTWISE_LOG , MIOPEN_POINTWISE_NEG , MIOPEN_POINTWISE_RSQRT , MIOPEN_POINTWISE_SIN , MIOPEN_POINTWISE_SQRT , MIOPEN_POINTWISE_TAN , MIOPEN_POINTWISE_ERF , MIOPEN_POINTWISE_IDENTITY , MIOPEN_POINTWISE_RELU_FWD , MIOPEN_POINTWISE_TANH_FWD , MIOPEN_POINTWISE_SIGMOID_FWD , MIOPEN_POINTWISE_ELU_FWD , MIOPEN_POINTWISE_GELU_FWD , MIOPEN_POINTWISE_SOFTPLUS_FWD , MIOPEN_POINTWISE_SWISH_FWD , MIOPEN_POINTWISE_GELU_APPROX_TANH_FWD , MIOPEN_POINTWISE_RELU_BWD , MIOPEN_POINTWISE_TANH_BWD , MIOPEN_POINTWISE_SIGMOID_BWD , MIOPEN_POINTWISE_ELU_BWD , MIOPEN_POINTWISE_GELU_BWD , MIOPEN_POINTWISE_SOFTPLUS_BWD , MIOPEN_POINTWISE_SWISH_BWD , MIOPEN_POINTWISE_GELU_APPROX_TANH_BWD , MIOPEN_POINTWISE_CMP_EQ , MIOPEN_POINTWISE_CMP_NEQ , MIOPEN_POINTWISE_CMP_GT , MIOPEN_POINTWISE_CMP_GE , MIOPEN_POINTWISE_CMP_LT , MIOPEN_POINTWISE_CMP_LE , MIOPEN_POINTWISE_LOGICAL_AND , MIOPEN_POINTWISE_LOGICAL_OR , MIOPEN_POINTWISE_LOGICAL_NOT , MIOPEN_POINTWISE_GEN_INDEX , MIOPEN_POINTWISE_BINARY_SELECT , MIOPEN_POINTWISE_RECIPROCAL }
	Intended poinwise math operation for a pointwise operation descriptor. More...

enum	miopenRngDistribution_t { MIOPEN_RNG_DISTRIBUTION_BERNOULLI , MIOPEN_RNG_DISTRIBUTION_UNIFORM , MIOPEN_RNG_DISTRIBUTION_NORMAL }
	Distribution for random number generation. More...

enum	miopenAlphaBetaCase_t { DEFAULT = 0 , SCALE = 1 , BILINEAR = 2 , ERROR_STATE = 3 }

enum	miopenBackendHeurMode_t { MIOPEN_HEUR_MODE_INSTANT = 0 , MIOPEN_HEUR_MODE_B = 1 , MIOPEN_HEUR_MODE_FALLBACK = 2 , MIOPEN_HEUR_MODE_A = 3 , MIOPEN_HEUR_MODES_COUNT = 4 }
	Operation mode of CUDNN_BACKEND_ENGINEHEUR_DESCRIPTOR. More...

enum	miopenLossReductionMode_t { MIOPEN_LOSS_REDUCTION_NONE = 0 , MIOPEN_LOSS_REDUCTION_SUM = 1 , MIOPEN_LOSS_REDUCTION_MEAN = 2 }

Functions
	MIOPEN_DECLARE_OBJECT (miopenHandle)
	Creates the miopenHandle_t type. More...

const char *	miopenGetErrorString (miopenStatus_t error)
	Get character string for an error code. More...

miopenStatus_t	miopenGetVersion (size_t major, size_t minor, size_t *patch)
	Method to return version of MIOpen. More...

miopenStatus_t	miopenCreate (miopenHandle_t *handle)
	Method to create the MIOpen handle object. More...

miopenStatus_t	miopenCreateWithStream (miopenHandle_t *handle, miopenAcceleratorQueue_t stream)
	Create a MIOpen handle with an accelerator stream. More...

miopenStatus_t	miopenDestroy (miopenHandle_t handle)
	Destroys the MIOpen handle. More...

miopenStatus_t	miopenSetStream (miopenHandle_t handle, miopenAcceleratorQueue_t streamID)
	Set accelerator command queue previously created. More...

miopenStatus_t	miopenGetStream (miopenHandle_t handle, miopenAcceleratorQueue_t *streamID)
	Get the previously created accelerator command queue. More...

miopenStatus_t	miopenSetAllocator (miopenHandle_t handle, miopenAllocatorFunction allocator, miopenDeallocatorFunction deallocator, void *allocatorContext)
	Set allocator for previously created miopenHandle. More...

miopenStatus_t	miopenGetKernelTime (miopenHandle_t handle, float *time)
	Get time for last kernel launched. More...

miopenStatus_t	miopenEnableProfiling (miopenHandle_t handle, bool enable)
	Enable profiling to retrieve kernel time. More...

	MIOPEN_DECLARE_OBJECT (miopenFusionOpDescriptor)
	Creates the miopenFusionOpDescriptor_t type. More...

	MIOPEN_DECLARE_OBJECT (miopenTensorDescriptor)
	Creates the miopenTensorDescriptor_t type. More...

	MIOPEN_DECLARE_OBJECT (miopenSeqTensorDescriptor)
	Creates the miopenSeqTensorDescriptor_t type. More...

	MIOPEN_DECLARE_OBJECT (miopenConvolutionDescriptor)
	Creates the miopenConvolutionDescriptor_t type. More...

	MIOPEN_DECLARE_OBJECT (miopenPoolingDescriptor)
	Creates the miopenPoolingDescriptor_t type. More...

	MIOPEN_DECLARE_OBJECT (miopenLRNDescriptor)
	Creates the miopenLRNDescriptor_t type. More...

	MIOPEN_DECLARE_OBJECT (miopenActivationDescriptor)
	Creates the miopenActivationDescriptor_t type. More...

	MIOPEN_DECLARE_OBJECT (miopenRNNDescriptor)
	Creates the miopenRNNDescriptor_t type. More...

	MIOPEN_DECLARE_OBJECT (miopenCTCLossDescriptor)
	Creates the miopenCTCLossDescriptor_t type. More...

	MIOPEN_DECLARE_OBJECT (miopenDropoutDescriptor)
	Creates the miopenDropoutDescriptor_t type. More...

	MIOPEN_DECLARE_OBJECT (miopenReduceTensorDescriptor)
	Creates the miopenReduceTensorDescriptor_t type. More...

	MIOPEN_DECLARE_OBJECT (miopenMhaDescriptor)
	Creates the miopenMhaDescriptor_t type. More...

	MIOPEN_DECLARE_OBJECT (miopenSoftmaxDescriptor)
	Creates the miopenSoftmaxDescriptor_t type. More...

miopenStatus_t	miopenCreateTensorDescriptor (miopenTensorDescriptor_t *tensorDesc)
	Create a Tensor Descriptor. More...

miopenStatus_t	miopenSet4dTensorDescriptor (miopenTensorDescriptor_t tensorDesc, miopenDataType_t dataType, int n, int c, int h, int w)
	Set shape of 4D tensor. More...

miopenStatus_t	miopenSetNdTensorDescriptorWithLayout (miopenTensorDescriptor_t tensorDesc, miopenDataType_t dataType, miopenTensorLayout_t tensorLayout, const int *lens, int num_lens)
	Set shape of ND tensor with specific layout. More...

miopenStatus_t	miopenSet4dTensorDescriptorEx (miopenTensorDescriptor_t tensorDesc, miopenDataType_t dataType, int n, int c, int h, int w, int nStride, int cStride, int hStride, int wStride)
	Set shape and stride of 4D tensor. More...

miopenStatus_t	miopenGet4dTensorDescriptor (miopenTensorDescriptor_t tensorDesc, miopenDataType_t dataType, int n, int c, int h, int w, int nStride, int cStride, int hStride, int *wStride)
	Get the details of the tensor descriptor. More...

miopenStatus_t	miopenSetTensorDescriptor (miopenTensorDescriptor_t tensorDesc, miopenDataType_t dataType, int nbDims, const int dimsA, const int stridesA)
	Set shape of N-dimensional tensor. More...

miopenStatus_t	miopenSetTensorDescriptorV2 (miopenTensorDescriptor_t tensorDesc, miopenDataType_t dataType, int nbDims, const size_t dimsA, const size_t stridesA)
	Set shape of N-dimensional tensor. More...

miopenStatus_t	miopenSetTensorCastType (miopenTensorDescriptor_t tensorDesc, miopenDataType_t cast_type)
	Set the tensor cast type. More...

miopenStatus_t	miopenGetTensorDescriptorSize (miopenTensorDescriptor_t tensorDesc, int *size)
	Set shape of N-dimensional tensor. More...

miopenStatus_t	miopenGetTensorDescriptor (miopenTensorDescriptor_t tensorDesc, miopenDataType_t dataType, int dimsA, int *stridesA)
	Get the details of the N-dimensional tensor descriptor. More...

miopenStatus_t	miopenDestroyTensorDescriptor (miopenTensorDescriptor_t tensorDesc)
	Destroys the tensor descriptor. More...

miopenStatus_t	miopenCreateSeqTensorDescriptor (miopenSeqTensorDescriptor_t *tensorDesc)
	Create a Tensor Descriptor for sequence data. More...

miopenStatus_t	miopenDestroySeqTensorDescriptor (miopenSeqTensorDescriptor_t tensorDesc)
	Destroys the sequence data tensor descriptor. More...

miopenStatus_t	miopenOpTensor (miopenHandle_t handle, miopenTensorOp_t tensorOp, const void alpha1, const miopenTensorDescriptor_t aDesc, const void A, const void alpha2, const miopenTensorDescriptor_t bDesc, const void B, const void beta, const miopenTensorDescriptor_t cDesc, void C)
	Execute element-wise tensor operations. More...

miopenStatus_t	miopenSetTensor (miopenHandle_t handle, const miopenTensorDescriptor_t yDesc, void y, const void alpha)
	Fills a tensor with a single value. More...

miopenStatus_t	miopenScaleTensor (miopenHandle_t handle, const miopenTensorDescriptor_t yDesc, void y, const void alpha)
	Scales all elements in a tensor by a single value. More...

miopenStatus_t	miopenGetTensorNumBytes (miopenTensorDescriptor_t tensorDesc, size_t *numBytes)
	Returns number of bytes associated with tensor descriptor. More...

miopenStatus_t	miopenTransformTensor (miopenHandle_t handle, const void alpha, const miopenTensorDescriptor_t xDesc, const void x, const void beta, const miopenTensorDescriptor_t yDesc, void y)
	Copies one tensor to another tensor with a different layout/scale. More...

miopenStatus_t	miopenCreateConvolutionDescriptor (miopenConvolutionDescriptor_t *convDesc)
	Creates a convolution layer descriptor. More...

miopenStatus_t	miopenInitConvolutionDescriptor (miopenConvolutionDescriptor_t convDesc, miopenConvolutionMode_t c_mode, int pad_h, int pad_w, int stride_h, int stride_w, int dilation_h, int dilation_w)
	Creates a 2-D convolution layer descriptor. More...

miopenStatus_t	miopenInitConvolutionNdDescriptor (miopenConvolutionDescriptor_t convDesc, int spatialDim, const int padA, const int strideA, const int *dilationA, miopenConvolutionMode_t c_mode)
	Creates a N-dimensional convolution layer descriptor. More...

miopenStatus_t	miopenGetConvolutionSpatialDim (miopenConvolutionDescriptor_t convDesc, int *spatialDim)
	Retrieves the spatial dimension of a convolution layer descriptor. More...

miopenStatus_t	miopenGetConvolutionDescriptor (miopenConvolutionDescriptor_t convDesc, miopenConvolutionMode_t c_mode, int pad_h, int pad_w, int stride_h, int stride_w, int dilation_h, int *dilation_w)
	Retrieves a 2-D convolution layer descriptor's details. More...

miopenStatus_t	miopenGetConvolutionNdDescriptor (miopenConvolutionDescriptor_t convDesc, int requestedSpatialDim, int spatialDim, int padA, int strideA, int dilationA, miopenConvolutionMode_t *c_mode)
	Retrieves a N-dimensional convolution layer descriptor's details. More...

miopenStatus_t	miopenGetConvolutionGroupCount (miopenConvolutionDescriptor_t convDesc, int *groupCount)
	Get the number of groups to be used in Group/Depthwise convolution. More...

miopenStatus_t	miopenSetConvolutionGroupCount (miopenConvolutionDescriptor_t convDesc, int groupCount)
	Set the number of groups to be used in Group/Depthwise convolution. More...

miopenStatus_t	miopenSetTransposeConvOutputPadding (miopenConvolutionDescriptor_t convDesc, int adj_h, int adj_w)
	Set the output padding to be used in 2-D Transpose convolution. More...

miopenStatus_t	miopenSetTransposeConvNdOutputPadding (miopenConvolutionDescriptor_t convDesc, int spatialDim, const int *adjA)
	Set the output padding to be used in N-dimensional Transpose convolution. More...

miopenStatus_t	miopenGetConvolutionForwardOutputDim (miopenConvolutionDescriptor_t convDesc, const miopenTensorDescriptor_t inputTensorDesc, const miopenTensorDescriptor_t filterDesc, int n, int c, int h, int w)
	Get the shape of a resulting 4-D tensor from a 2-D convolution. More...

miopenStatus_t	miopenGetConvolutionNdForwardOutputDim (miopenConvolutionDescriptor_t convDesc, const miopenTensorDescriptor_t inputTensorDesc, const miopenTensorDescriptor_t filterDesc, int nDim, int outputTensorDimA)
	Get the shape of a resulting N-dimensional tensor from a (N-2)-dimensional convolution. More...

miopenStatus_t	miopenDestroyConvolutionDescriptor (miopenConvolutionDescriptor_t convDesc)
	Destroys the tensor descriptor object. More...

miopenStatus_t	miopenSetConvolutionAttribute (miopenConvolutionDescriptor_t convDesc, const miopenConvolutionAttrib_t attr, int value)
	Set the attribute of the convolution descriptor. More...

miopenStatus_t	miopenGetConvolutionAttribute (miopenConvolutionDescriptor_t convDesc, const miopenConvolutionAttrib_t attr, int *value)
	Get the attribute of the convolution descriptor. More...

miopenStatus_t	miopenConvolutionForwardGetSolutionCount (miopenHandle_t handle, const miopenTensorDescriptor_t wDesc, const miopenTensorDescriptor_t xDesc, const miopenConvolutionDescriptor_t convDesc, const miopenTensorDescriptor_t yDesc, size_t *solutionCount)
	Query the maximum number of solutions applicable for the given input/output and weights tensor descriptor for Convolution in the Forward direction. More...

miopenStatus_t	miopenConvolutionForwardGetSolution (miopenHandle_t handle, const miopenTensorDescriptor_t wDesc, const miopenTensorDescriptor_t xDesc, const miopenConvolutionDescriptor_t convDesc, const miopenTensorDescriptor_t yDesc, const size_t maxSolutionCount, size_t solutionCount, miopenConvSolution_t solutions)
	Query the applicable solutions for a convolution configuration described by input, output and convolution descriptors. More...

miopenStatus_t	miopenConvolutionForwardGetSolutionWorkspaceSize (miopenHandle_t handle, const miopenTensorDescriptor_t wDesc, const miopenTensorDescriptor_t xDesc, const miopenConvolutionDescriptor_t convDesc, const miopenTensorDescriptor_t yDesc, const uint64_t solution_id, size_t *workSpaceSize)
	Returns the workspace size required for a particular solution id. More...

miopenStatus_t	miopenConvolutionForwardCompileSolution (miopenHandle_t handle, const miopenTensorDescriptor_t wDesc, const miopenTensorDescriptor_t xDesc, const miopenConvolutionDescriptor_t convDesc, const miopenTensorDescriptor_t yDesc, const uint64_t solution_id)
	Compiles the solution provided by the user, this solution may be acquired by the miopenConvolutionForwardGetSolution API call above. Compiling the solution ensures that the first API call to miopenConvolutionForwardImmediate does not cause a compile. More...

miopenStatus_t	miopenConvolutionForwardImmediate (miopenHandle_t handle, const miopenTensorDescriptor_t wDesc, const void w, const miopenTensorDescriptor_t xDesc, const void x, const miopenConvolutionDescriptor_t convDesc, const miopenTensorDescriptor_t yDesc, void y, void workSpace, size_t workSpaceSize, const uint64_t solution_id)
	Executes the Forward convolution operation based on the provided solution ID. More...

miopenStatus_t	miopenConvolutionBackwardDataGetSolutionCount (miopenHandle_t handle, const miopenTensorDescriptor_t dyDesc, const miopenTensorDescriptor_t wDesc, const miopenConvolutionDescriptor_t convDesc, const miopenTensorDescriptor_t dxDesc, size_t *solutionCount)
	Query the maximum number of solutions applicable for the given input/output and weights tensor descriptor for backward Convolution w-r-t Data. More...

miopenStatus_t	miopenConvolutionBackwardDataGetSolution (miopenHandle_t handle, const miopenTensorDescriptor_t dyDesc, const miopenTensorDescriptor_t wDesc, const miopenConvolutionDescriptor_t convDesc, const miopenTensorDescriptor_t dxDesc, const size_t maxSolutionCount, size_t solutionCount, miopenConvSolution_t solutions)
	Query the applicable solutions for a backward convolution w-r-t data as described by input, output and convolution descriptors. More...

miopenStatus_t	miopenConvolutionBackwardDataGetSolutionWorkspaceSize (miopenHandle_t handle, const miopenTensorDescriptor_t dyDesc, const miopenTensorDescriptor_t wDesc, const miopenConvolutionDescriptor_t convDesc, const miopenTensorDescriptor_t dxDesc, const uint64_t solution_id, size_t *workSpaceSize)
	Returns the workspace size required for a particular solution id. More...

miopenStatus_t	miopenConvolutionBackwardDataCompileSolution (miopenHandle_t handle, const miopenTensorDescriptor_t dyDesc, const miopenTensorDescriptor_t wDesc, const miopenConvolutionDescriptor_t convDesc, const miopenTensorDescriptor_t dxDesc, const uint64_t solution_id)
	Compiles the solution provided by the user, this solution may be acquired by the miopenConvolutionBackwardDataGetSolution API call above. Compiling the solution ensures that the first API call to miopenConvolutionBackwardDataImmediate does not cause a compile. More...

miopenStatus_t	miopenConvolutionBackwardDataImmediate (miopenHandle_t handle, const miopenTensorDescriptor_t dyDesc, const void dy, const miopenTensorDescriptor_t wDesc, const void w, const miopenConvolutionDescriptor_t convDesc, const miopenTensorDescriptor_t dxDesc, void dx, void workSpace, size_t workSpaceSize, const uint64_t solution_id)
	Executes the Backward convolution w-r-t data operation based on the provided solution ID. More...

miopenStatus_t	miopenConvolutionBackwardWeightsGetSolutionCount (miopenHandle_t handle, const miopenTensorDescriptor_t dyDesc, const miopenTensorDescriptor_t xDesc, const miopenConvolutionDescriptor_t convDesc, const miopenTensorDescriptor_t dwDesc, size_t *solutionCount)
	Query the maximum number of solutions applicable for the given input/output and weights tensor descriptor for backward Convolution w-r-t Weights. More...

miopenStatus_t	miopenConvolutionBackwardWeightsGetSolution (miopenHandle_t handle, const miopenTensorDescriptor_t dyDesc, const miopenTensorDescriptor_t xDesc, const miopenConvolutionDescriptor_t convDesc, const miopenTensorDescriptor_t dwDesc, const size_t maxSolutionCount, size_t solutionCount, miopenConvSolution_t solutions)
	Query the applicable solutions for a backward convolution w-r-t weights as described by input, output and convolution descriptors. More...

miopenStatus_t	miopenConvolutionBackwardWeightsGetSolutionWorkspaceSize (miopenHandle_t handle, const miopenTensorDescriptor_t dyDesc, const miopenTensorDescriptor_t xDesc, const miopenConvolutionDescriptor_t convDesc, const miopenTensorDescriptor_t dwDesc, const uint64_t solution_id, size_t *workSpaceSize)
	Returns the workspace size required for a particular solution id. More...

miopenStatus_t	miopenConvolutionBackwardWeightsCompileSolution (miopenHandle_t handle, const miopenTensorDescriptor_t dyDesc, const miopenTensorDescriptor_t xDesc, const miopenConvolutionDescriptor_t convDesc, const miopenTensorDescriptor_t dwDesc, const uint64_t solution_id)
	Compiles the solution provided by the user, this solution may be acquired by the miopenConvolutionBackwardWeightsGetSolution API call above. Compiling the solution ensures that the first API call to miopenConvolutionBackwardWeightsImmediate does not cause a compile. More...

miopenStatus_t	miopenConvolutionBackwardWeightsImmediate (miopenHandle_t handle, const miopenTensorDescriptor_t dyDesc, const void dy, const miopenTensorDescriptor_t xDesc, const void x, const miopenConvolutionDescriptor_t convDesc, const miopenTensorDescriptor_t dwDesc, void dw, void workSpace, size_t workSpaceSize, const uint64_t solution_id)
	Executes the Backward convolution w-r-t weights operation based on the provided solution ID. More...

miopenStatus_t	miopenConvolutionForwardGetWorkSpaceSize (miopenHandle_t handle, const miopenTensorDescriptor_t wDesc, const miopenTensorDescriptor_t xDesc, const miopenConvolutionDescriptor_t convDesc, const miopenTensorDescriptor_t yDesc, size_t *workSpaceSize)
	Query the workspace size required for a forward convolution algorithm. More...

miopenStatus_t	miopenFindConvolutionForwardAlgorithm (miopenHandle_t handle, const miopenTensorDescriptor_t xDesc, const void x, const miopenTensorDescriptor_t wDesc, const void w, const miopenConvolutionDescriptor_t convDesc, const miopenTensorDescriptor_t yDesc, void y, const int requestAlgoCount, int returnedAlgoCount, miopenConvAlgoPerf_t perfResults, void workSpace, size_t workSpaceSize, bool exhaustiveSearch)
	Search and run the forward convolutional algorithms and return a list of kernel times. More...

miopenStatus_t	miopenConvolutionForward (miopenHandle_t handle, const void alpha, const miopenTensorDescriptor_t xDesc, const void x, const miopenTensorDescriptor_t wDesc, const void w, const miopenConvolutionDescriptor_t convDesc, miopenConvFwdAlgorithm_t algo, const void beta, const miopenTensorDescriptor_t yDesc, void y, void workSpace, size_t workSpaceSize)
	Execute a forward convolution layer. More...

miopenStatus_t	miopenConvolutionForwardBias (miopenHandle_t handle, const void alpha, const miopenTensorDescriptor_t bDesc, const void b, const void beta, const miopenTensorDescriptor_t yDesc, void y)
	Calculate element-wise scale and shift of a tensor via a bias tensor. More...

miopenStatus_t	miopenConvolutionBackwardDataGetWorkSpaceSize (miopenHandle_t handle, const miopenTensorDescriptor_t dyDesc, const miopenTensorDescriptor_t wDesc, const miopenConvolutionDescriptor_t convDesc, const miopenTensorDescriptor_t dxDesc, size_t *workSpaceSize)
	Query the workspace size required for a backward data convolution algorithm. More...

miopenStatus_t	miopenFindConvolutionBackwardDataAlgorithm (miopenHandle_t handle, const miopenTensorDescriptor_t dyDesc, const void dy, const miopenTensorDescriptor_t wDesc, const void w, const miopenConvolutionDescriptor_t convDesc, const miopenTensorDescriptor_t dxDesc, void dx, const int requestAlgoCount, int returnedAlgoCount, miopenConvAlgoPerf_t perfResults, void workSpace, size_t workSpaceSize, bool exhaustiveSearch)
	Search and run the backwards data convolution algorithms and return a list of kernel times. More...

miopenStatus_t	miopenConvolutionBackwardData (miopenHandle_t handle, const void alpha, const miopenTensorDescriptor_t dyDesc, const void dy, const miopenTensorDescriptor_t wDesc, const void w, const miopenConvolutionDescriptor_t convDesc, miopenConvBwdDataAlgorithm_t algo, const void beta, const miopenTensorDescriptor_t dxDesc, void dx, void workSpace, size_t workSpaceSize)
	Execute a backward data convolution layer. More...

miopenStatus_t	miopenConvolutionBackwardWeightsGetWorkSpaceSize (miopenHandle_t handle, const miopenTensorDescriptor_t dyDesc, const miopenTensorDescriptor_t xDesc, const miopenConvolutionDescriptor_t convDesc, const miopenTensorDescriptor_t dwDesc, size_t *workSpaceSize)
	Get the GPU memory required for the backward weights convolution algorithm. More...

miopenStatus_t	miopenFindConvolutionBackwardWeightsAlgorithm (miopenHandle_t handle, const miopenTensorDescriptor_t dyDesc, const void dy, const miopenTensorDescriptor_t xDesc, const void x, const miopenConvolutionDescriptor_t convDesc, const miopenTensorDescriptor_t dwDesc, void dw, const int requestAlgoCount, int returnedAlgoCount, miopenConvAlgoPerf_t perfResults, void workSpace, size_t workSpaceSize, bool exhaustiveSearch)
	Search and run the backwards weights convolutional algorithms and return a list of kernel times. More...

miopenStatus_t	miopenConvolutionBackwardWeights (miopenHandle_t handle, const void alpha, const miopenTensorDescriptor_t dyDesc, const void dy, const miopenTensorDescriptor_t xDesc, const void x, const miopenConvolutionDescriptor_t convDesc, miopenConvBwdWeightsAlgorithm_t algo, const void beta, const miopenTensorDescriptor_t dwDesc, void dw, void workSpace, size_t workSpaceSize)
	Execute a backward weights convolution layer. More...

miopenStatus_t	miopenConvolutionBackwardBias (miopenHandle_t handle, const void alpha, const miopenTensorDescriptor_t dyDesc, const void dy, const void beta, const miopenTensorDescriptor_t dbDesc, void db)
	Calculates the gradient with respect to the bias. More...

miopenStatus_t	miopenCreatePoolingDescriptor (miopenPoolingDescriptor_t *poolDesc)
	Creates a pooling layer descriptor. More...

miopenStatus_t	miopenSetPoolingIndexType (miopenPoolingDescriptor_t poolDesc, miopenIndexType_t index_type)
	Set index data type for pooling layer. The default indexing type is uint8_t. Users can set the index type to any of the miopenIndexType_t sizes; 8, 16, 32, or 64 bit unsigned integers. More...

miopenStatus_t	miopenGetPoolingIndexType (miopenPoolingDescriptor_t poolDesc, miopenIndexType_t *index_type)
	Get the index data type for pooling layer. The index type to any of the miopenIndexType_t sizes; 8, 16, 32, or 64 bit unsigned integers. More...

miopenStatus_t	miopenSetPoolingWorkSpaceIndexMode (miopenPoolingDescriptor_t poolDesc, miopenPoolingWorkspaceIndexMode_t workspace_index)
	Set workspace index mode for pooling layer. The default mode is miopenPoolingWorkSpaceIndexMask. More...

miopenStatus_t	miopenGetPoolingWorkSpaceIndexMode (miopenPoolingDescriptor_t poolDesc, miopenPoolingWorkspaceIndexMode_t *workspace_index)
	Get workspace index mode for pooling layer. More...

miopenStatus_t	miopenSet2dPoolingDescriptor (miopenPoolingDescriptor_t poolDesc, miopenPoolingMode_t mode, int windowHeight, int windowWidth, int pad_h, int pad_w, int stride_h, int stride_w)
	Sets a 2-D pooling layer descriptor details. More...

miopenStatus_t	miopenGet2dPoolingDescriptor (const miopenPoolingDescriptor_t poolDesc, miopenPoolingMode_t mode, int windowHeight, int windowWidth, int pad_h, int pad_w, int stride_h, int *stride_w)
	Gets a 2-D pooling layer descriptor details. More...

miopenStatus_t	miopenGetPoolingForwardOutputDim (const miopenPoolingDescriptor_t poolDesc, const miopenTensorDescriptor_t tensorDesc, int n, int c, int h, int w)
	Gets the shape of the output tensor for 2-D pooling. More...

miopenStatus_t	miopenSetNdPoolingDescriptor (miopenPoolingDescriptor_t poolDesc, const miopenPoolingMode_t mode, int nbDims, const int windowDimA, const int padA, const int *stridesA)
	Set details of a N-D pooling layer descriptor. More...

miopenStatus_t	miopenGetNdPoolingDescriptor (const miopenPoolingDescriptor_t poolDesc, int nbDimsRequested, miopenPoolingMode_t mode, int nbDims, int windowDimA, int padA, int *stridesA)
	Get details of a N-D pooling layer descriptor. More...

miopenStatus_t	miopenGetPoolingNdForwardOutputDim (const miopenPoolingDescriptor_t poolDesc, const miopenTensorDescriptor_t tensorDesc, int dims, int *tensorDimArr)
	Gets the shape of the output tensor for N-D pooling. More...

miopenStatus_t	miopenPoolingGetWorkSpaceSize (const miopenTensorDescriptor_t yDesc, size_t *workSpaceSize)
	Get the amount of GPU memory required for pooling. More...

miopenStatus_t	miopenPoolingGetWorkSpaceSizeV2 (const miopenPoolingDescriptor_t poolDesc, const miopenTensorDescriptor_t yDesc, size_t *workSpaceSize)
	Get the amount of GPU memory required for pooling. More...

miopenStatus_t	miopenPoolingForward (miopenHandle_t handle, const miopenPoolingDescriptor_t poolDesc, const void alpha, const miopenTensorDescriptor_t xDesc, const void x, const void beta, const miopenTensorDescriptor_t yDesc, void y, bool do_backward, void *workSpace, size_t workSpaceSize)
	Execute a forward pooling layer. More...

miopenStatus_t	miopenPoolingBackward (miopenHandle_t handle, const miopenPoolingDescriptor_t poolDesc, const void alpha, const miopenTensorDescriptor_t yDesc, const void y, const miopenTensorDescriptor_t dyDesc, const void dy, const miopenTensorDescriptor_t xDesc, const void x, const void beta, const miopenTensorDescriptor_t dxDesc, void dx, void *workSpace)
	Execute a backward pooling layer. More...

miopenStatus_t	miopenDestroyPoolingDescriptor (miopenPoolingDescriptor_t poolDesc)
	Destroys the pooling descriptor object. More...

miopenStatus_t	miopenCreateLRNDescriptor (miopenLRNDescriptor_t *lrnDesc)
	Creates a local response normalization (LRN) layer descriptor. More...

miopenStatus_t	miopenSetLRNDescriptor (const miopenLRNDescriptor_t lrnDesc, miopenLRNMode_t mode, unsigned int lrnN, double lrnAlpha, double lrnBeta, double lrnK)
	Sets a LRN layer descriptor details. More...

miopenStatus_t	miopenGetLRNDescriptor (const miopenLRNDescriptor_t lrnDesc, miopenLRNMode_t mode, unsigned int lrnN, double lrnAlpha, double lrnBeta, double *lrnK)
	Gets a LRN layer descriptor details. More...

miopenStatus_t	miopenLRNGetWorkSpaceSize (const miopenTensorDescriptor_t yDesc, size_t *workSpaceSize)
	Determine the workspace requirements. More...

miopenStatus_t	miopenLRNForward (miopenHandle_t handle, const miopenLRNDescriptor_t lrnDesc, const void alpha, const miopenTensorDescriptor_t xDesc, const void x, const void beta, const miopenTensorDescriptor_t yDesc, void y, bool do_backward, void *workSpace)
	Execute a LRN forward layer. More...

miopenStatus_t	miopenLRNBackward (miopenHandle_t handle, const miopenLRNDescriptor_t lrnDesc, const void alpha, const miopenTensorDescriptor_t yDesc, const void y, const miopenTensorDescriptor_t dyDesc, const void dy, const miopenTensorDescriptor_t xDesc, const void x, const void beta, const miopenTensorDescriptor_t dxDesc, void dx, const void *workSpace)
	Execute a LRN backward layer. More...

miopenStatus_t	miopenDestroyLRNDescriptor (miopenLRNDescriptor_t lrnDesc)
	Destroys the LRN descriptor object. More...

miopenStatus_t	miopenLayerNormForward (miopenHandle_t handle, miopenNormMode_t mode, const miopenTensorDescriptor_t xDesc, const void x, const miopenTensorDescriptor_t weightDesc, const void weight, const miopenTensorDescriptor_t biasDesc, const void bias, const float epsilon, const int32_t normalized_dim, const miopenTensorDescriptor_t yDesc, void y, const miopenTensorDescriptor_t meanDesc, void mean, const miopenTensorDescriptor_t rstdDesc, void rstd)
	Execute a layernorm forward layer. More...

miopenStatus_t	miopenCatForward (miopenHandle_t handle, const int32_t xCount, const miopenTensorDescriptor_t xDescs, const void const xs, const miopenTensorDescriptor_t yDesc, void y, const int32_t dim)
	Execute a cat forward layer. More...

miopenStatus_t	miopenDeriveBNTensorDescriptor (miopenTensorDescriptor_t derivedBnDesc, const miopenTensorDescriptor_t xDesc, miopenBatchNormMode_t bn_mode)
	Derive tensor for gamma and beta from input tensor descriptor. More...

miopenStatus_t	miopenBatchNormalizationForwardTraining (miopenHandle_t handle, miopenBatchNormMode_t bn_mode, void alpha, void beta, const miopenTensorDescriptor_t xDesc, const void x, const miopenTensorDescriptor_t yDesc, void y, const miopenTensorDescriptor_t bnScaleBiasMeanVarDesc, void bnScale, void bnBias, double expAvgFactor, void resultRunningMean, void resultRunningVariance, double epsilon, void resultSaveMean, void resultSaveInvVariance)
	Execute forward training layer for batch normalization. More...

miopenStatus_t	miopenBatchNormalizationForwardTraining_V2 (miopenHandle_t handle, miopenBatchNormMode_t bn_mode, void alpha, void beta, const miopenTensorDescriptor_t xDesc, const void x, const miopenTensorDescriptor_t yDesc, void y, const miopenTensorDescriptor_t scaleDesc, const miopenTensorDescriptor_t biasVarDesc, const miopenTensorDescriptor_t savedMeanDesc, const miopenTensorDescriptor_t savedVarDesc, void bnScale, void bnBias, double expAvgFactor, void resultRunningMean, void resultRunningVariance, double epsilon, void resultSaveMean, void resultSaveInvVariance)
	Execute forward training layer for batch normalization. More...

miopenStatus_t	miopenBatchNormalizationForwardInference (miopenHandle_t handle, miopenBatchNormMode_t bn_mode, void alpha, void beta, const miopenTensorDescriptor_t xDesc, const void x, const miopenTensorDescriptor_t yDesc, void y, const miopenTensorDescriptor_t bnScaleBiasMeanVarDesc, void bnScale, void bnBias, void estimatedMean, void estimatedVariance, double epsilon)
	Execute forward inference layer for batch normalization. More...

miopenStatus_t	miopenBatchNormalizationForwardInference_V2 (miopenHandle_t handle, miopenBatchNormMode_t bn_mode, void alpha, void beta, const miopenTensorDescriptor_t xDesc, const void x, const miopenTensorDescriptor_t yDesc, void y, const miopenTensorDescriptor_t scaleDesc, const miopenTensorDescriptor_t biasDesc, const miopenTensorDescriptor_t estMeanDesc, const miopenTensorDescriptor_t estVarianceDesc, void bnScale, void bnBias, void estimatedMean, void estimatedVariance, double epsilon)
	Execute forward inference layer for batch normalization. More...

miopenStatus_t	miopenBatchNormalizationBackward (miopenHandle_t handle, miopenBatchNormMode_t bn_mode, const void alphaDataDiff, const void betaDataDiff, const void alphaParamDiff, const void betaParamDiff, const miopenTensorDescriptor_t xDesc, const void x, const miopenTensorDescriptor_t dyDesc, const void dy, const miopenTensorDescriptor_t dxDesc, void dx, const miopenTensorDescriptor_t bnScaleBiasDiffDesc, const void bnScale, void resultBnScaleDiff, void resultBnBiasDiff, double epsilon, const void savedMean, const void savedInvVariance)
	Execute backwards propagation layer for batch normalization. More...

miopenStatus_t	miopenBatchNormalizationBackward_V2 (miopenHandle_t handle, miopenBatchNormMode_t bn_mode, const void alphaDataDiff, const void betaDataDiff, const void alphaParamDiff, const void betaParamDiff, const miopenTensorDescriptor_t xDesc, const void x, const miopenTensorDescriptor_t dyDesc, const void dy, const miopenTensorDescriptor_t dxDesc, void dx, const miopenTensorDescriptor_t scaleDesc, const miopenTensorDescriptor_t biasDesc, const miopenTensorDescriptor_t savedMeanDesc, const miopenTensorDescriptor_t savedVarDesc, const void bnScale, void resultBnScaleDiff, void resultBnBiasDiff, double epsilon, const void savedMean, const void savedInvVariance)
	Execute backwards propagation layer for batch normalization. More...

miopenStatus_t	miopenCreateActivationDescriptor (miopenActivationDescriptor_t *activDesc)
	Creates the Activation descriptor object. More...

miopenStatus_t	miopenSetActivationDescriptor (const miopenActivationDescriptor_t activDesc, miopenActivationMode_t mode, double activAlpha, double activBeta, double activGamma)
	Sets the activation layer descriptor details. More...

miopenStatus_t	miopenGetActivationDescriptor (const miopenActivationDescriptor_t activDesc, miopenActivationMode_t mode, double activAlpha, double activBeta, double activGamma)
	Gets the activation layer descriptor details. More...

miopenStatus_t	miopenActivationForward (miopenHandle_t handle, const miopenActivationDescriptor_t activDesc, const void alpha, const miopenTensorDescriptor_t xDesc, const void x, const void beta, const miopenTensorDescriptor_t yDesc, void y)
	Execute an activation forward layer. More...

miopenStatus_t	miopenActivationBackward (miopenHandle_t handle, const miopenActivationDescriptor_t activDesc, const void alpha, const miopenTensorDescriptor_t yDesc, const void y, const miopenTensorDescriptor_t dyDesc, const void dy, const miopenTensorDescriptor_t xDesc, const void x, const void beta, const miopenTensorDescriptor_t dxDesc, void dx)
	Execute a activation backwards layer. More...

miopenStatus_t	miopenDestroyActivationDescriptor (miopenActivationDescriptor_t activDesc)
	Destroys the activation descriptor object. More...

miopenStatus_t	miopenGLUForward (miopenHandle_t handle, const miopenTensorDescriptor_t inputDesc, const void input, const miopenTensorDescriptor_t outputDesc, void output, const uint32_t dim)
	Execute a GLU forward layer. More...

miopenStatus_t	miopenGLUBackward (miopenHandle_t handle, const miopenTensorDescriptor_t inputDesc, const void input, const miopenTensorDescriptor_t outputGradDesc, const void outputGrad, const miopenTensorDescriptor_t inputGradDesc, void *inputGrad, const uint32_t dim)
	Execute a GLU backward layer. More...

miopenStatus_t	miopenSoftmaxForward (miopenHandle_t handle, const void alpha, const miopenTensorDescriptor_t xDesc, const void x, const void beta, const miopenTensorDescriptor_t yDesc, void y)
	Execute a softmax forward layer. More...

miopenStatus_t	miopenSoftmaxBackward (miopenHandle_t handle, const void alpha, const miopenTensorDescriptor_t yDesc, const void y, const miopenTensorDescriptor_t dyDesc, const void dy, const void beta, const miopenTensorDescriptor_t dxDesc, void *dx)
	Execute a softmax backwards layer. More...

miopenStatus_t	miopenSoftmaxForward_V2 (miopenHandle_t handle, const void alpha, const miopenTensorDescriptor_t xDesc, const void x, const void beta, const miopenTensorDescriptor_t yDesc, void y, miopenSoftmaxAlgorithm_t algorithm, miopenSoftmaxMode_t mode)
	Execute a softmax forward layer with expanded modes and algorithms. More...

miopenStatus_t	miopenSoftmaxBackward_V2 (miopenHandle_t handle, const void alpha, const miopenTensorDescriptor_t yDesc, const void y, const miopenTensorDescriptor_t dyDesc, const void dy, const void beta, const miopenTensorDescriptor_t dxDesc, void *dx, miopenSoftmaxAlgorithm_t algorithm, miopenSoftmaxMode_t mode)
	Execute a softmax backwards layer with expanded modes and algorithms. More...

	MIOPEN_DECLARE_OBJECT (miopenFusionPlanDescriptor)
	MIOpen fusion interface. More...

	MIOPEN_DECLARE_OBJECT (miopenOperatorDescriptor)

	MIOPEN_DECLARE_OBJECT (miopenOperatorArgs)

miopenStatus_t	miopenCreateFusionPlan (miopenFusionPlanDescriptor_t *fusePlanDesc, const miopenFusionDirection_t fuseDirection, const miopenTensorDescriptor_t inputDesc)
	Creates the kenrel fusion plan descriptor object. More...

miopenStatus_t	miopenDestroyFusionPlan (miopenFusionPlanDescriptor_t fusePlanDesc)
	Destroy the fusion plan descriptor object. More...

miopenStatus_t	miopenCompileFusionPlan (miopenHandle_t handle, miopenFusionPlanDescriptor_t fusePlanDesc)
	Compiles the fusion plan. More...

miopenStatus_t	miopenFusionPlanGetOp (miopenFusionPlanDescriptor_t fusePlanDesc, const int op_idx, miopenFusionOpDescriptor_t *op)
	Allows access to the operators in a fusion plan. More...

miopenStatus_t	miopenFusionPlanGetWorkSpaceSize (miopenHandle_t handle, miopenFusionPlanDescriptor_t fusePlanDesc, size_t *workSpaceSize, miopenConvFwdAlgorithm_t algo)
	Query the workspace size required for the fusion plan. More...

miopenStatus_t	miopenFusionPlanConvolutionGetAlgo (miopenFusionPlanDescriptor_t fusePlanDesc, const int requestAlgoCount, int returnedAlgoCount, miopenConvFwdAlgorithm_t returnedAlgos)
	Returns the supported algorithms for the convolution operator in the Fusion Plan. More...

miopenStatus_t	miopenFusionPlanConvolutionSetAlgo (miopenFusionPlanDescriptor_t fusePlanDesc, miopenConvFwdAlgorithm_t algo)
	Requests the fusion runtime to choose a particular algorithm for the added convolution operation. More...

miopenStatus_t	miopenCreateOpConvForward (miopenFusionPlanDescriptor_t fusePlanDesc, miopenFusionOpDescriptor_t *convOp, miopenConvolutionDescriptor_t convDesc, const miopenTensorDescriptor_t wDesc)
	Creates forward convolution operator. More...

miopenStatus_t	miopenCreateOpActivationForward (miopenFusionPlanDescriptor_t fusePlanDesc, miopenFusionOpDescriptor_t *activFwdOp, miopenActivationMode_t mode)
	Creates a forward activation operator. More...

miopenStatus_t	miopenCreateOpActivationBackward (miopenFusionPlanDescriptor_t fusePlanDesc, miopenFusionOpDescriptor_t *activBwdOp, miopenActivationMode_t mode)
	Creates a backward activation operator. More...

miopenStatus_t	miopenCreateOpBiasForward (miopenFusionPlanDescriptor_t fusePlanDesc, miopenFusionOpDescriptor_t *biasOp, const miopenTensorDescriptor_t bDesc)
	Creates a forward bias operator. More...

miopenStatus_t	miopenCreateOpBatchNormInference (miopenFusionPlanDescriptor_t fusePlanDesc, miopenFusionOpDescriptor_t *bnOp, const miopenBatchNormMode_t bn_mode, const miopenTensorDescriptor_t bnScaleBiasMeanVarDesc)
	Creates a forward inference batch normalization operator. More...

miopenStatus_t	miopenCreateOpBatchNormForward (miopenFusionPlanDescriptor_t fusePlanDesc, miopenFusionOpDescriptor_t *bnFwdOp, const miopenBatchNormMode_t bn_mode, bool runningMeanVariance)
	Creates a forward training batch normalization operator. More...

miopenStatus_t	miopenCreateOpBatchNormBackward (miopenFusionPlanDescriptor_t fusePlanDesc, miopenFusionOpDescriptor_t *bnBwdOp, const miopenBatchNormMode_t bn_mode)
	Creates a back propagation batch normalization operator. More...

miopenStatus_t	miopenCreateOperatorArgs (miopenOperatorArgs_t *args)
	Creates an operator argument object. More...

miopenStatus_t	miopenDestroyOperatorArgs (miopenOperatorArgs_t args)
	Destroys an operator argument object. More...

miopenStatus_t	miopenSetOpArgsConvForward (miopenOperatorArgs_t args, const miopenFusionOpDescriptor_t convOp, const void alpha, const void beta, const void *w)
	Sets the arguments for forward convolution op. More...

miopenStatus_t	miopenSetOpArgsActivForward (miopenOperatorArgs_t args, const miopenFusionOpDescriptor_t activFwdOp, const void alpha, const void beta, double activAlpha, double activBeta, double activGamma)
	Sets the arguments for forward activation op. More...

miopenStatus_t	miopenSetOpArgsActivBackward (miopenOperatorArgs_t args, const miopenFusionOpDescriptor_t activBwdOp, const void alpha, const void beta, const void y, const void reserved, double activAlpha, double activBeta, double activGamma)
	Sets the arguments for backward activation op. More...

miopenStatus_t	miopenSetOpArgsBatchNormInference (miopenOperatorArgs_t args, const miopenFusionOpDescriptor_t bnOp, const void alpha, const void beta, const void bnScale, const void bnBias, const void estimatedMean, const void estimatedVariance, double epsilon)
	Sets the arguments for inference batch normalization op. More...

miopenStatus_t	miopenSetOpArgsBatchNormForward (miopenOperatorArgs_t args, const miopenFusionOpDescriptor_t bnOp, const void alpha, const void beta, const void bnScale, const void bnBias, void savedMean, void savedInvVariance, void runningMean, void runningVariance, double expAvgFactor, double epsilon)
	Sets the arguments for forward batch normalization op. More...

miopenStatus_t	miopenSetOpArgsBatchNormBackward (miopenOperatorArgs_t args, const miopenFusionOpDescriptor_t bnOp, const void alpha, const void beta, const void x, const void bnScale, const void bnBias, void resultBnScaleDiff, void resultBnBiasDiff, const void savedMean, const void *savedInvVariance)
	Sets the arguments for backward batch normalization op. More...

miopenStatus_t	miopenSetOpArgsBiasForward (miopenOperatorArgs_t args, const miopenFusionOpDescriptor_t biasOp, const void alpha, const void beta, const void *bias)
	Sets the arguments for forward bias op. More...

miopenStatus_t	miopenExecuteFusionPlan (const miopenHandle_t handle, const miopenFusionPlanDescriptor_t fusePlanDesc, const miopenTensorDescriptor_t inputDesc, const void input, const miopenTensorDescriptor_t outputDesc, void output, miopenOperatorArgs_t args)
	Executes the fusion plan. More...

miopenStatus_t	miopenConvolutionBiasActivationForward (miopenHandle_t handle, const void alpha1, const miopenTensorDescriptor_t xDesc, const void x, const miopenTensorDescriptor_t wDesc, const void w, const miopenConvolutionDescriptor_t convDesc, miopenConvFwdAlgorithm_t algo, void workspace, size_t workspaceSizeInBytes, const void alpha2, const miopenTensorDescriptor_t zDesc, const void z, const miopenTensorDescriptor_t biasDesc, const void bias, const miopenActivationDescriptor_t activationDesc, const miopenTensorDescriptor_t yDesc, void y)
	Prepares and executes the Convlution+Bias+Activation Fusion. More...

miopenStatus_t	miopenCreateRNNDescriptor (miopenRNNDescriptor_t *rnnDesc)
	Create a RNN layer Descriptor. More...

miopenStatus_t	miopenGetRNNDescriptor (miopenRNNDescriptor_t rnnDesc, miopenRNNMode_t rnnMode, miopenRNNAlgo_t algoMode, miopenRNNInputMode_t inputMode, miopenRNNDirectionMode_t dirMode, miopenRNNBiasMode_t biasMode, int hiddenSize, int *layer)
	Retrieves a RNN layer descriptor's details. More...

miopenStatus_t	miopenGetRNNDescriptor_V2 (miopenRNNDescriptor_t rnnDesc, int hiddenSize, int layer, miopenDropoutDescriptor_t dropoutDesc, miopenRNNInputMode_t inputMode, miopenRNNDirectionMode_t dirMode, miopenRNNMode_t rnnMode, miopenRNNBiasMode_t biasMode, miopenRNNAlgo_t algoMode, miopenDataType_t *dataType)
	Retrieves a RNN layer descriptor's details version 2. This version enables retrieving information of the dropout descriptor of the rnn descriptor. More...

miopenStatus_t	miopenDestroyRNNDescriptor (miopenRNNDescriptor_t rnnDesc)
	Destroys the tensor descriptor object. More...

miopenStatus_t	miopenSetRNNDescriptor (miopenRNNDescriptor_t rnnDesc, const int hsize, const int nlayers, miopenRNNInputMode_t inMode, miopenRNNDirectionMode_t direction, miopenRNNMode_t rnnMode, miopenRNNBiasMode_t biasMode, miopenRNNAlgo_t algo, miopenDataType_t dataType)
	Set the details of the RNN descriptor. More...

miopenStatus_t	miopenSetRNNDescriptor_V2 (miopenRNNDescriptor_t rnnDesc, const int hsize, const int nlayers, miopenDropoutDescriptor_t dropoutDesc, miopenRNNInputMode_t inMode, miopenRNNDirectionMode_t direction, miopenRNNMode_t rnnMode, miopenRNNBiasMode_t biasMode, miopenRNNAlgo_t algo, miopenDataType_t dataType)
	Set the details of the RNN descriptor version 2. This version enables the use of dropout in rnn. More...

miopenStatus_t	miopenSetRNNDataSeqTensorDescriptor (miopenSeqTensorDescriptor_t seqTensorDesc, miopenDataType_t dataType, miopenRNNBaseLayout_t layout, int maxSequenceLen, int batchSize, int vectorSize, const int sequenceLenArray, void paddingMarker)
	Set shape of RNN seqData tensor. More...

miopenStatus_t	miopenGetRNNDataSeqTensorDescriptor (miopenSeqTensorDescriptor_t seqTensorDesc, miopenDataType_t dataType, miopenRNNBaseLayout_t layout, int maxSequenceLen, int batchSize, int vectorSize, int sequenceLenArrayLimit, int sequenceLenArray, void *paddingMarker)
	Get shape of RNN seqData tensor. More...

miopenStatus_t	miopenGetRNNWorkspaceSize (miopenHandle_t handle, const miopenRNNDescriptor_t rnnDesc, const int sequenceLen, const miopenTensorDescriptor_t xDesc, size_t numBytes)
	Query the amount of memory required to execute the RNN layer. More...

miopenStatus_t	miopenGetRNNTrainingReserveSize (miopenHandle_t handle, miopenRNNDescriptor_t rnnDesc, const int sequenceLen, const miopenTensorDescriptor_t xDesc, size_t numBytes)
	Query the amount of memory required for RNN training. More...

miopenStatus_t	miopenGetRNNTempSpaceSizes (miopenHandle_t handle, miopenRNNDescriptor_t rnnDesc, miopenSeqTensorDescriptor_t xDesc, miopenRNNFWDMode_t fwdMode, size_t workSpaceSize, size_t reserveSpaceSize)
	Query the amount of additional memory required for this RNN layer execution. More...

miopenStatus_t	miopenGetRNNParamsSize (miopenHandle_t handle, miopenRNNDescriptor_t rnnDesc, miopenTensorDescriptor_t xDesc, size_t *numBytes, miopenDataType_t dtype)
	Query the amount of parameter memory required for RNN training. More...

miopenStatus_t	miopenGetRNNParamsDescriptor (miopenHandle_t handle, miopenRNNDescriptor_t rnnDesc, miopenTensorDescriptor_t xDesc, miopenTensorDescriptor_t wDesc, miopenDataType_t dtype)
	Obtain a weight tensor descriptor for RNNs. More...

miopenStatus_t	miopenGetRNNInputTensorSize (miopenHandle_t handle, miopenRNNDescriptor_t rnnDesc, const int seqLen, miopenTensorDescriptor_t xDesc, size_t numBytes)
	Obtain a the size in bytes of the RNN input tensor. More...

miopenStatus_t	miopenGetRNNHiddenTensorSize (miopenHandle_t handle, miopenRNNDescriptor_t rnnDesc, const int seqLen, miopenTensorDescriptor_t xDesc, size_t numBytes)
	Obtain a the size in bytes of the RNN hidden tensor. More...

miopenStatus_t	miopenGetRNNLayerParamSize (miopenHandle_t handle, miopenRNNDescriptor_t rnnDesc, const int layer, miopenTensorDescriptor_t xDesc, const int paramID, size_t *numBytes)
	Gets the number of bytes of a parameter matrix. More...

miopenStatus_t	miopenGetRNNLayerBiasSize (miopenHandle_t handle, miopenRNNDescriptor_t rnnDesc, const int layer, const int biasID, size_t *numBytes)
	Gets the number of bytes of a bias. More...

miopenStatus_t	miopenGetRNNLayerParam (miopenHandle_t handle, miopenRNNDescriptor_t rnnDesc, const int layer, miopenTensorDescriptor_t xDesc, miopenTensorDescriptor_t wDesc, const void w, const int paramID, miopenTensorDescriptor_t paramDesc, void layerParam)
	Gets a weight matrix for a specific layer in an RNN stack. More...

miopenStatus_t	miopenGetRNNLayerBias (miopenHandle_t handle, miopenRNNDescriptor_t rnnDesc, const int layer, miopenTensorDescriptor_t xDesc, miopenTensorDescriptor_t wDesc, const void w, const int biasID, miopenTensorDescriptor_t biasDesc, void layerBias)
	Gets a bias for a specific layer in an RNN stack. More...

miopenStatus_t	miopenGetRNNLayerParamOffset (miopenRNNDescriptor_t rnnDesc, const int layer, miopenTensorDescriptor_t xDesc, const int paramID, miopenTensorDescriptor_t paramDesc, size_t *layerParamOffset)
	Gets an index offset for a specific weight matrix for a layer in the RNN stack. More...

miopenStatus_t	miopenGetRNNLayerBiasOffset (miopenRNNDescriptor_t rnnDesc, const int layer, miopenTensorDescriptor_t xDesc, const int biasID, miopenTensorDescriptor_t biasDesc, size_t *layerBiasOffset)
	Gets a bias index offset for a specific layer in an RNN stack. More...

miopenStatus_t	miopenSetRNNLayerParam (miopenHandle_t handle, miopenRNNDescriptor_t rnnDesc, const int layer, miopenTensorDescriptor_t xDesc, miopenTensorDescriptor_t wDesc, void w, const int paramID, miopenTensorDescriptor_t paramDesc, const void layerParam)
	Sets a weight matrix for a specific layer in an RNN stack. More...

miopenStatus_t	miopenSetRNNLayerBias (miopenHandle_t handle, miopenRNNDescriptor_t rnnDesc, const int layer, miopenTensorDescriptor_t xDesc, miopenTensorDescriptor_t wDesc, void w, const int biasID, miopenTensorDescriptor_t biasDesc, const void layerBias)
	Sets a bias for a specific layer in an RNN stack. More...

miopenStatus_t	miopenSetRNNPaddingMode (miopenRNNDescriptor_t rnnDesc, miopenRNNPaddingMode_t paddingMode)
	Sets a bias for a specific layer in an RNN stack. More...

miopenStatus_t	miopenGetRNNPaddingMode (miopenRNNDescriptor_t rnnDesc, miopenRNNPaddingMode_t *paddingMode)
	This function retrieves the RNN padding mode from the RNN descriptor. More...

miopenStatus_t	miopenRNNForward (miopenHandle_t handle, const miopenRNNDescriptor_t rnnDesc, miopenRNNFWDMode_t fwdMode, const miopenSeqTensorDescriptor_t xDesc, const void x, const miopenTensorDescriptor_t hDesc, const void hx, void hy, const miopenTensorDescriptor_t cDesc, const void cx, void cy, const miopenSeqTensorDescriptor_t yDesc, void y, const void w, size_t weightSpaceSize, void workSpace, size_t workSpaceNumBytes, void *reserveSpace, size_t reserveSpaceNumBytes)
	Execute forward training for recurrent layer. More...

miopenStatus_t	miopenRNNBackwardSeqData (miopenHandle_t handle, const miopenRNNDescriptor_t rnnDesc, const miopenSeqTensorDescriptor_t yDesc, const void y, const void dy, const miopenTensorDescriptor_t hDesc, const void hx, const void dhy, void dhx, const miopenTensorDescriptor_t cDesc, const void cx, const void dcy, void dcx, const miopenSeqTensorDescriptor_t xDesc, void dx, const void w, size_t weightSpaceSize, void workSpace, size_t workSpaceNumBytes, void reserveSpace, size_t reserveSpaceNumBytes)
	Execute backward data for recurrent layer. More...

miopenStatus_t	miopenRNNBackwardWeightsSeqTensor (miopenHandle_t handle, const miopenRNNDescriptor_t rnnDesc, const miopenSeqTensorDescriptor_t xDesc, const void x, const miopenTensorDescriptor_t hDesc, const void hx, const miopenSeqTensorDescriptor_t yDesc, const void y, void dw, size_t weightSpaceSize, void workSpace, size_t workSpaceNumBytes, const void reserveSpace, size_t reserveSpaceNumBytes)
	Execute backward weights for recurrent layer. More...

miopenStatus_t	miopenRNNForwardTraining (miopenHandle_t handle, const miopenRNNDescriptor_t rnnDesc, const int sequenceLen, const miopenTensorDescriptor_t xDesc, const void x, const miopenTensorDescriptor_t hxDesc, const void hx, const miopenTensorDescriptor_t cxDesc, const void cx, const miopenTensorDescriptor_t wDesc, const void w, const miopenTensorDescriptor_t yDesc, void y, const miopenTensorDescriptor_t hyDesc, void hy, const miopenTensorDescriptor_t cyDesc, void cy, void workSpace, size_t workSpaceNumBytes, void *reserveSpace, size_t reserveSpaceNumBytes)
	Execute forward training for recurrent layer. More...

miopenStatus_t	miopenRNNBackwardData (miopenHandle_t handle, const miopenRNNDescriptor_t rnnDesc, const int sequenceLen, const miopenTensorDescriptor_t yDesc, const void y, const miopenTensorDescriptor_t dyDesc, const void dy, const miopenTensorDescriptor_t dhyDesc, const void dhy, const miopenTensorDescriptor_t dcyDesc, const void dcy, const miopenTensorDescriptor_t wDesc, const void w, const miopenTensorDescriptor_t hxDesc, const void hx, const miopenTensorDescriptor_t cxDesc, const void cx, const miopenTensorDescriptor_t dxDesc, void dx, const miopenTensorDescriptor_t dhxDesc, void dhx, const miopenTensorDescriptor_t dcxDesc, void dcx, void workSpace, size_t workSpaceNumBytes, void *reserveSpace, size_t reserveSpaceNumBytes)
	Execute backward data for recurrent layer. More...

miopenStatus_t	miopenRNNBackwardWeights (miopenHandle_t handle, const miopenRNNDescriptor_t rnnDesc, const int sequenceLen, const miopenTensorDescriptor_t xDesc, const void x, const miopenTensorDescriptor_t hxDesc, const void hx, const miopenTensorDescriptor_t yDesc, const void y, const miopenTensorDescriptor_t dwDesc, void dw, void workSpace, size_t workSpaceNumBytes, const void reserveSpace, size_t reserveSpaceNumBytes)
	Execute backward weights for recurrent layer. More...

miopenStatus_t	miopenRNNForwardInference (miopenHandle_t handle, miopenRNNDescriptor_t rnnDesc, const int sequenceLen, const miopenTensorDescriptor_t xDesc, const void x, const miopenTensorDescriptor_t hxDesc, const void hx, const miopenTensorDescriptor_t cxDesc, const void cx, const miopenTensorDescriptor_t wDesc, const void w, const miopenTensorDescriptor_t yDesc, void y, const miopenTensorDescriptor_t hyDesc, void hy, const miopenTensorDescriptor_t cyDesc, void cy, void workSpace, size_t workSpaceNumBytes)
	Execute forward inference for RNN layer. More...

miopenStatus_t	miopenCreateCTCLossDescriptor (miopenCTCLossDescriptor_t *ctcLossDesc)
	Create a CTC loss function Descriptor. More...

miopenStatus_t	miopenGetCTCLossDescriptor (miopenCTCLossDescriptor_t ctcLossDesc, miopenDataType_t dataType, int blank_label_id, bool *apply_softmax_layer)
	Retrieves a CTC loss function descriptor's details. More...

miopenStatus_t	miopenDestroyCTCLossDescriptor (miopenCTCLossDescriptor_t ctcLossDesc)
	Destroys a CTC loss function descriptor object. More...

miopenStatus_t	miopenSetCTCLossDescriptor (miopenCTCLossDescriptor_t ctcLossDesc, miopenDataType_t dataType, const int blank_label_id, bool apply_softmax_layer)
	Set the details of a CTC loss function descriptor. More...

miopenStatus_t	miopenGetCTCLossWorkspaceSize (miopenHandle_t handle, const miopenTensorDescriptor_t probsDesc, const miopenTensorDescriptor_t gradientsDesc, const int labels, const int labelLengths, const int inputLengths, miopenCTCLossAlgo_t algo, const miopenCTCLossDescriptor_t ctcLossDesc, size_t workSpaceSize)
	Query the amount of memory required to execute miopenCTCLoss. More...

miopenStatus_t	miopenCTCLoss (miopenHandle_t handle, const miopenTensorDescriptor_t probsDesc, const void probs, const int labels, const int labelLengths, const int inputLengths, void losses, const miopenTensorDescriptor_t gradientsDesc, void gradients, miopenCTCLossAlgo_t algo, const miopenCTCLossDescriptor_t ctcLossDesc, void *workSpace, size_t workSpaceSize)
	Execute forward inference for CTCLoss layer. More...

miopenStatus_t	miopenCreateDropoutDescriptor (miopenDropoutDescriptor_t *dropoutDesc)
	Creates the dropout descriptor object. More...

miopenStatus_t	miopenDestroyDropoutDescriptor (miopenDropoutDescriptor_t dropoutDesc)
	Destroys the dropout descriptor object. More...

miopenStatus_t	miopenDropoutGetReserveSpaceSize (const miopenTensorDescriptor_t xDesc, size_t *reserveSpaceSizeInBytes)
	Query the amount of memory required to run dropout. More...

miopenStatus_t	miopenDropoutGetStatesSize (miopenHandle_t handle, size_t *stateSizeInBytes)
	Query the amount of memory required to store the states of the random number generators. More...

miopenStatus_t	miopenGetDropoutDescriptor (miopenDropoutDescriptor_t dropoutDesc, miopenHandle_t handle, float dropout, void states, unsigned long long seed, bool use_mask, bool state_evo, miopenRNGType_t *rng_mode)
	Get the details of the dropout descriptor. More...

miopenStatus_t	miopenRestoreDropoutDescriptor (miopenDropoutDescriptor_t dropoutDesc, miopenHandle_t handle, float dropout, void *states, size_t stateSizeInBytes, unsigned long long seed, bool use_mask, bool state_evo, miopenRNGType_t rng_mode)
	Restore the dropout descriptor to a saved state. More...

miopenStatus_t	miopenSetDropoutDescriptor (miopenDropoutDescriptor_t dropoutDesc, miopenHandle_t handle, float dropout, void *states, size_t stateSizeInBytes, unsigned long long seed, bool use_mask, bool state_evo, miopenRNGType_t rng_mode)
	Initialize the dropout descriptor. More...

miopenStatus_t	miopenDropoutForward (miopenHandle_t handle, const miopenDropoutDescriptor_t dropoutDesc, const miopenTensorDescriptor_t noise_shape, const miopenTensorDescriptor_t xDesc, const void x, const miopenTensorDescriptor_t yDesc, void y, void *reserveSpace, size_t reserveSpaceSizeInBytes)
	Execute forward dropout operation. More...

miopenStatus_t	miopenDropoutBackward (miopenHandle_t handle, const miopenDropoutDescriptor_t dropoutDesc, const miopenTensorDescriptor_t noise_shape, const miopenTensorDescriptor_t dyDesc, const void dy, const miopenTensorDescriptor_t dxDesc, void dx, void *reserveSpace, size_t reserveSpaceSizeInBytes)
	Execute backward dropout operation. More...

miopenStatus_t	miopenCreateReduceTensorDescriptor (miopenReduceTensorDescriptor_t *reduceTensorDesc)
	Creates the ReduceTensor descriptor object. More...

miopenStatus_t	miopenDestroyReduceTensorDescriptor (miopenReduceTensorDescriptor_t reduceTensorDesc)
	Destroy the ReduceTensor descriptor object. More...

miopenStatus_t	miopenSetReduceTensorDescriptor (miopenReduceTensorDescriptor_t reduceTensorDesc, miopenReduceTensorOp_t reduceTensorOp, miopenDataType_t reduceTensorCompType, miopenNanPropagation_t reduceTensorNanOpt, miopenReduceTensorIndices_t reduceTensorIndices, miopenIndicesType_t reduceTensorIndicesType)
	Initialize a ReduceTensor descriptor object. More...

miopenStatus_t	miopenGetReduceTensorDescriptor (const miopenReduceTensorDescriptor_t reduceTensorDesc, miopenReduceTensorOp_t reduceTensorOp, miopenDataType_t reduceTensorCompType, miopenNanPropagation_t reduceTensorNanOpt, miopenReduceTensorIndices_t reduceTensorIndices, miopenIndicesType_t *reduceTensorIndicesType)
	Query a ReduceTensor descriptor object. More...

miopenStatus_t	miopenGetReductionIndicesSize (miopenHandle_t handle, const miopenReduceTensorDescriptor_t reduceTensorDesc, const miopenTensorDescriptor_t aDesc, const miopenTensorDescriptor_t cDesc, size_t *sizeInBytes)
	Helper function to query the minimum index space size required by the ReduceTensor call. More...

miopenStatus_t	miopenGetReductionWorkspaceSize (miopenHandle_t handle, const miopenReduceTensorDescriptor_t reduceTensorDesc, const miopenTensorDescriptor_t aDesc, const miopenTensorDescriptor_t cDesc, size_t *sizeInBytes)
	Helper function to query the minimum workspace size required by the ReduceTensor call. More...

miopenStatus_t	miopenReduceTensor (miopenHandle_t handle, const miopenReduceTensorDescriptor_t reduceTensorDesc, void indices, size_t indicesSizeInBytes, void workspace, size_t workspaceSizeInBytes, const void alpha, const miopenTensorDescriptor_t aDesc, const void A, const void beta, const miopenTensorDescriptor_t cDesc, void C)
	TensorReduce function doing reduction on tensor A by implementing C = alpha * reduceOp(A) More...

	MIOPEN_DECLARE_OBJECT (miopenProblem)
	Describes a problem for different miopen operations. More...

miopenStatus_t	miopenCreateConvProblem (miopenProblem_t *problem, miopenConvolutionDescriptor_t operatorDesc, miopenProblemDirection_t direction)
	Initializes a problem object describing a convolution operation. More...

miopenStatus_t	miopenCreateMhaProblem (miopenProblem_t *problem, miopenMhaDescriptor_t operatorDesc, miopenProblemDirection_t direction)

miopenStatus_t	miopenCreateMhaDescriptor (miopenMhaDescriptor_t *mhaDesc)
	Creates the mha descriptor object. More...

miopenStatus_t	miopenSetMhaDescriptor (miopenMhaDescriptor_t mhaDesc, float scale)
	Sets the Mha descriptor details. More...

miopenStatus_t	miopenGetMhaDescriptor (miopenMhaDescriptor_t mhaDesc, float *scale)
	Gets the Mha descriptor details. More...

miopenStatus_t	miopenCreateSoftmaxDescriptor (miopenSoftmaxDescriptor_t *softmaxDesc)
	Creates the Softmax descriptor object. More...

miopenStatus_t	miopenSetSoftmaxDescriptor (miopenSoftmaxDescriptor_t softmaxDesc, float alpha, float beta, miopenSoftmaxAlgorithm_t algorithm, miopenSoftmaxMode_t mode)
	Sets the softmax descriptor details. More...

miopenStatus_t	miopenGetSoftmaxDescriptor (const miopenSoftmaxDescriptor_t softmaxDesc, float alpha, float beta, miopenSoftmaxAlgorithm_t algorithm, miopenSoftmaxMode_t mode)
	Gets the softmax layer descriptor details. More...

miopenStatus_t	miopenDestroyProblem (miopenProblem_t problem)
	Destroys a problem object. More...

miopenStatus_t	miopenSetProblemTensorDescriptor (miopenProblem_t problem, miopenTensorArgumentId_t id, const miopenTensorDescriptor_t descriptor)
	Sets a tensor descriptor for the specified argument. More...

	MIOPEN_DECLARE_OBJECT (miopenFindOptions)
	The miopenFindOptions allows the user to configure how find will be used. More...

miopenStatus_t	miopenCreateFindOptions (miopenFindOptions_t *options)
	Initializes miopenFindOptions object. More...

miopenStatus_t	miopenDestroyFindOptions (miopenFindOptions_t options)
	Destroys miopenFindOptions object. More...

miopenStatus_t	miopenSetFindOptionTuning (miopenFindOptions_t options, int value)
	Sets the tuning find option. Default value is zero. More...

miopenStatus_t	miopenSetFindOptionResultsOrder (miopenFindOptions_t options, miopenFindResultsOrder_t value)
	Sets the results order find option. Default value is miopenFindResultsOrderByTime. More...

miopenStatus_t	miopenSetFindOptionWorkspaceLimit (miopenFindOptions_t options, size_t value)
	Sets the workspace limit find option. Default value is maximum of size_t. More...

miopenStatus_t	miopenSetFindOptionPreallocatedWorkspace (miopenFindOptions_t options, void *buffer, size_t size)
	Attaches the preallocated workspace to find options. Allocated by the library by default. More...

miopenStatus_t	miopenSetFindOptionPreallocatedTensor (miopenFindOptions_t options, miopenTensorArgumentId_t id, void *buffer)
	Attaches a preallocated tensor to find options. If not used, buffers are allocated by MIOpen internally, which is not recommended. More...

miopenStatus_t	miopenSetFindOptionAttachBinaries (miopenFindOptions_t options, unsigned attach)
	Forces library to attach kernel binaries to solutions for later saving. This allows zero lookup miopenRunSolution calls after miopenLoadSolution. Default value is 0. More...

	MIOPEN_DECLARE_OBJECT (miopenSolution)
	The miopenSolution object describes a prepared solution. More...

miopenStatus_t	miopenFindSolutions (miopenHandle_t handle, miopenProblem_t problem, miopenFindOptions_t options, miopenSolution_t solutions, size_t numSolutions, size_t maxSolutions)
	Finds solutions to a problem by running different applicable solutions. Memory is automatically allocated. More...

miopenStatus_t	miopenRunSolution (miopenHandle_t handle, miopenSolution_t solution, size_t nInputs, const miopenTensorArgument_t tensors, void workspace, size_t workspaceSize)
	Runs the solution using the passed in buffers. More...

miopenStatus_t	miopenDestroySolution (miopenSolution_t solution)
	Destroys solution object. More...

miopenStatus_t	miopenLoadSolution (miopenSolution_t solution, const char data, size_t size)
	Loads solution object from binary data. More...

miopenStatus_t	miopenSaveSolution (miopenSolution_t solution, char *data)
	Saves a solution object as binary data. More...

miopenStatus_t	miopenGetSolutionSize (miopenSolution_t solution, size_t *size)
	Reads the expected size of a solution. More...

miopenStatus_t	miopenGetSolutionWorkspaceSize (miopenSolution_t solution, size_t *workspaceSize)
	Reads the amount of workspace required to exectute the solution. More...

miopenStatus_t	miopenGetSolutionTime (miopenSolution_t solution, float *time)
	Reads the time spent to execute the solution the last it was run. More...

miopenStatus_t	miopenGetSolutionSolverId (miopenSolution_t solution, uint64_t *solverId)
	Reads id of the solver referred by the solution. More...

miopenStatus_t	miopenGetSolverIdConvAlgorithm (uint64_t solverId, miopenConvAlgorithm_t *result)
	Gets the convolution algorithm implemented by a solver. More...

miopenStatus_t	miopenCreateActivationProblem (miopenProblem_t *problem, miopenActivationDescriptor_t operatorDesc, miopenProblemDirection_t direction)
	Initializes a problem object describing an activation operation. More...

miopenStatus_t	miopenCreateBatchnormProblem (miopenProblem_t *problem, miopenBatchNormMode_t mode, bool runningMeanVariance, miopenProblemDirection_t direction)
	Initializes a problem object describing an activation operation. More...

miopenStatus_t	miopenFuseProblems (miopenProblem_t problem1, miopenProblem_t problem2)

miopenStatus_t	miopenCreateBiasProblem (miopenProblem_t *problem, miopenProblemDirection_t direction)
	Initializes a problem object describing an bias operation. More...

miopenStatus_t	miopenCreateSoftmaxProblem (miopenProblem_t *problem, miopenSoftmaxDescriptor_t operatorDesc, miopenProblemDirection_t direction)
	Initializes a problem object describing a softmax operation. More...

miopenStatus_t	miopenGetReduceCalculationWorkspaceSize (miopenHandle_t handle, const miopenTensorDescriptor_t xDesc, const int32_t dim, const miopenReduceCalculationOp_t reduceCalculationOp, const miopenTensorDescriptor_t reduceDesc, size_t *sizeInBytes)
	Helper function to query the minimum workspace size required by the ReduceTensor call. More...

miopenStatus_t	miopenReduceCalculationForward (miopenHandle_t handle, miopenReduceCalculationNanPropagation_t nanPropagation, void workspace, size_t workspaceSizeInBytes, const miopenTensorDescriptor_t xDesc, const void x, const int32_t dim, const miopenReduceCalculationOp_t reduceCalculationOp, const miopenTensorDescriptor_t reduceDesc, void *y)
	Execute a reducecalculation forward layer. More...

miopenStatus_t	miopenReduceExtremeForward (miopenHandle_t handle, const miopenTensorDescriptor_t xDesc, const void x, const int32_t dim, const miopenReduceExtremeOp_t reduceExtremeOp, const miopenTensorDescriptor_t yDesc, void y, const miopenTensorDescriptor_t indiceDesc, void *indice)
	Find the the extreme (minimum, maximum) value and index of a tensor across Dimension. More...

miopenStatus_t	miopenGroupNormForward (miopenHandle_t handle, miopenNormMode_t mode, const miopenTensorDescriptor_t xDesc, const void x, const miopenTensorDescriptor_t weightDesc, const void weight, const miopenTensorDescriptor_t biasDesc, const void bias, const uint64_t num_groups, const float epsilon, const miopenTensorDescriptor_t yDesc, void y, const miopenTensorDescriptor_t meanDesc, void mean, const miopenTensorDescriptor_t rstdDesc, void rstd)
	Execute a groupnorm forward layer. More...

miopenStatus_t	miopenAddLayerNormForward (miopenHandle_t handle, miopenNormMode_t mode, const miopenTensorDescriptor_t xDesc, const void x, const miopenTensorDescriptor_t x2Desc, const void x2, const miopenTensorDescriptor_t weightDesc, const void weight, const miopenTensorDescriptor_t biasDesc, const void bias, const float epsilon, const int32_t normalized_dim, const miopenTensorDescriptor_t yDesc, void y, const miopenTensorDescriptor_t meanDesc, void mean, const miopenTensorDescriptor_t rstdDesc, void *rstd)
	Execute a add and layernorm forward layer. More...

miopenStatus_t	miopenT5LayerNormForward (miopenHandle_t handle, miopenNormMode_t mode, const miopenTensorDescriptor_t xDesc, const void x, const miopenTensorDescriptor_t weightDesc, const void weight, const float epsilon, const miopenTensorDescriptor_t yDesc, void y, const miopenTensorDescriptor_t rstdDesc, void rstd)
	Execute a T5layernorm forward layer. More...

miopenStatus_t	miopenGetT5LayerNormBackwardWorkspaceSize (miopenHandle_t handle, miopenNormMode_t mode, const miopenTensorDescriptor_t dyDesc, const miopenTensorDescriptor_t xDesc, const miopenTensorDescriptor_t weightDesc, const miopenTensorDescriptor_t rstdDesc, const miopenTensorDescriptor_t dxDesc, const miopenTensorDescriptor_t dwDesc, size_t *sizeInBytes)
	Helper function to query the minimum workspace size required by the T5layernorm backward call. More...

miopenStatus_t	miopenT5LayerNormBackward (miopenHandle_t handle, miopenNormMode_t mode, void workspace, size_t workspaceSizeInBytes, const miopenTensorDescriptor_t dyDesc, const void dy, const miopenTensorDescriptor_t xDesc, const void x, const miopenTensorDescriptor_t weightDesc, const void weight, const miopenTensorDescriptor_t rstdDesc, const void rstd, const miopenTensorDescriptor_t dxDesc, void dx, const miopenTensorDescriptor_t dwDesc, void *dw)
	Execute a T5layernorm backward layer. More...

miopenStatus_t	miopenBackendCreateDescriptor (miopenBackendDescriptorType_t descriptorType, miopenBackendDescriptor_t *descriptor)
	Backend descriptor. More...

miopenStatus_t	miopenBackendSetAttribute (miopenBackendDescriptor_t descriptor, miopenBackendAttributeName_t attributeName, miopenBackendAttributeType_t attributeType, int64_t elementCount, void *arrayOfElements)
	Sets an attribute of a descriptor. More...

miopenStatus_t	miopenBackendFinalize (miopenBackendDescriptor_t descriptor)
	Finalizes a backend descriptor. More...

miopenStatus_t	miopenBackendGetAttribute (miopenBackendDescriptor_t descriptor, miopenBackendAttributeName_t attributeName, miopenBackendAttributeType_t attributeType, int64_t requestedElementCount, int64_t elementCount, void arrayOfElements)
	Retrieves backend descriptor's attribute. More...

miopenStatus_t	miopenBackendExecute (miopenHandle_t handle, miopenBackendDescriptor_t executionPlan, miopenBackendDescriptor_t variantPack)
	Executes a graph. More...

miopenStatus_t	miopenBackendDestroyDescriptor (miopenBackendDescriptor_t descriptor)
	Destroys an instance of miopenBackendDescriptor_t. More...

miopenStatus_t	miopenBackendInitialize (miopenBackendDescriptor_t descriptor, miopenBackendDescriptorType_t descriptorType, size_t sizeInBytes)
	Repurposes an instance of miopenBackendDescriptor_t. More...

miopenStatus_t	miopenFusedAdam (miopenHandle_t handle, const miopenTensorDescriptor_t paramDesc, void param, const miopenTensorDescriptor_t gradDesc, const void grad, const miopenTensorDescriptor_t expAvgDesc, void expAvg, const miopenTensorDescriptor_t expAvgSqDesc, void expAvgSq, const miopenTensorDescriptor_t maxExpAvgSqDesc, void maxExpAvgSq, const miopenTensorDescriptor_t stateStepDesc, void stateStep, const unsigned int state_step, const float lr, const float beta1, const float beta2, const float weight_decay, const float eps, const bool amsgrad, const bool maximize, const bool adamw, const miopenTensorDescriptor_t gradScaleDesc, const void gradScale, const miopenTensorDescriptor_t foundInfDesc, const void foundInf)
	Perform Fused Adam optimization for a single tensor (Adaptive Moment Estimation). More...

miopenStatus_t	miopenFusedAdamWithOutput (miopenHandle_t handle, const miopenTensorDescriptor_t paramInDesc, void paramIn, const miopenTensorDescriptor_t paramOutDesc, void paramOut, const miopenTensorDescriptor_t paramOutFloat16Desc, void paramOutFloat16, const miopenTensorDescriptor_t gradInDesc, const void gradIn, const miopenTensorDescriptor_t expAvgInDesc, void expAvgIn, const miopenTensorDescriptor_t expAvgOutDesc, void expAvgOut, const miopenTensorDescriptor_t expAvgSqInDesc, void expAvgSqIn, const miopenTensorDescriptor_t expAvgSqOutDesc, void expAvgSqOut, const miopenTensorDescriptor_t maxExpAvgSqInDesc, void maxExpAvgSqIn, const miopenTensorDescriptor_t maxExpAvgSqOutDesc, void maxExpAvgSqOut, const miopenTensorDescriptor_t stateStepInDesc, void stateStepIn, const miopenTensorDescriptor_t stateStepOutDesc, void stateStepOut, const unsigned int state_step, const float lr, const float beta1, const float beta2, const float weight_decay, const float eps, const bool amsgrad, const bool maximize, const bool adamw, const miopenTensorDescriptor_t gradScaleDesc, const void gradScale, const miopenTensorDescriptor_t foundInfDesc, const void foundInf)
	Execute single tensor Adam optimization and receive the result in a separate output tensor. More...

miopenStatus_t	miopenTransformersAdamW (miopenHandle_t handle, const miopenTensorDescriptor_t paramDesc, void param, const miopenTensorDescriptor_t gradDesc, const void grad, const miopenTensorDescriptor_t expAvgDesc, void expAvg, const miopenTensorDescriptor_t expAvgSqDesc, void expAvgSq, const miopenTensorDescriptor_t stateStepDesc, void stateStep, const unsigned int state_step, const float lr, const float beta1, const float beta2, const float weight_decay, const float eps, const bool correct_bias, const miopenTensorDescriptor_t gradScaleDesc, const void gradScale, const miopenTensorDescriptor_t foundInfDesc, const void *foundInf)
	Implements Adam algorithm with weight decay fix as introduced in Decoupled Weight Decay Regularization. This is the fused kernel version of AdamW included in the Hugging Face Transformers module. More...

miopenStatus_t	miopenTransformersAdamWWithOutput (miopenHandle_t handle, const miopenTensorDescriptor_t paramInDesc, void paramIn, const miopenTensorDescriptor_t paramOutDesc, void paramOut, const miopenTensorDescriptor_t paramOutFloat16Desc, void paramOutFloat16, const miopenTensorDescriptor_t gradInDesc, const void gradIn, const miopenTensorDescriptor_t expAvgInDesc, void expAvgIn, const miopenTensorDescriptor_t expAvgOutDesc, void expAvgOut, const miopenTensorDescriptor_t expAvgSqInDesc, void expAvgSqIn, const miopenTensorDescriptor_t expAvgSqOutDesc, void expAvgSqOut, const miopenTensorDescriptor_t stateStepInDesc, void stateStepIn, const miopenTensorDescriptor_t stateStepOutDesc, void stateStepOut, const unsigned int state_step, const float lr, const float beta1, const float beta2, const float weight_decay, const float eps, const float step_size, const bool correct_bias, const miopenTensorDescriptor_t gradScaleDesc, const void gradScale, const miopenTensorDescriptor_t foundInfDesc, const void foundInf)
	Execute single tensor Adam optimization and receive the result in a separate output tensor. More...

miopenStatus_t	miopenGetGetitemWorkspaceSize (miopenHandle_t handle, uint32_t indexCount, const miopenTensorDescriptor_t indexDescs, size_t sizeInBytes)
	Helper function to query the minimum workspace size required by the getitem call. More...

miopenStatus_t	miopenGetitemBackward (miopenHandle_t handle, void workspace, size_t workspaceSizeInBytes, const miopenTensorDescriptor_t dyDesc, const void dy, uint32_t indexCount, const miopenTensorDescriptor_t indexDescs, const void const indexs, const miopenTensorDescriptor_t dxDesc, void dx, const miopenTensorDescriptor_t errorDesc, void error, uint32_t dimCount, const int32_t dims, uint32_t sliceCount, const int32_t *slices, uint32_t offset)
	Execute a getitem backward layer. More...

miopenStatus_t	miopenRoPEForward (miopenHandle_t handle, const miopenTensorDescriptor_t xDesc, const void x, const miopenTensorDescriptor_t cosDesc, const void cos, const miopenTensorDescriptor_t sinDesc, const void sin, const miopenTensorDescriptor_t yDesc, void y)
	Execute a rope forward layer. More...

miopenStatus_t	miopenRoPEBackward (miopenHandle_t handle, const miopenTensorDescriptor_t dyDesc, const void dy, const miopenTensorDescriptor_t cosDesc, const void cos, const miopenTensorDescriptor_t sinDesc, const void sin, const miopenTensorDescriptor_t dxDesc, void dx)
	Execute a rope backward layer. More...

miopenStatus_t	miopenKthvalueForward (miopenHandle_t handle, miopenTensorDescriptor_t inputDesc, const void input, miopenTensorDescriptor_t outputDesc, void output, miopenTensorDescriptor_t indicesDesc, size_t *indices, size_t k, int32_t dim=-1, bool keepDim=false)
	Execute a Kthvalue forward layer. More...

miopenStatus_t	miopenGetPReLUBackwardWorkspaceSize (miopenHandle_t handle, miopenTensorDescriptor_t inputDesc, miopenTensorDescriptor_t weightDesc, size_t *sizeInBytes)
	Helper function to query the minimum workspace size required by the PReLU backward call. More...

miopenStatus_t	miopenPReLUBackward (miopenHandle_t handle, void workspace, size_t workspaceSizeInBytes, miopenTensorDescriptor_t inputDesc, const void input, miopenTensorDescriptor_t weightDesc, const void weight, miopenTensorDescriptor_t doutputDesc, const void doutput, miopenTensorDescriptor_t dinputDesc, void dinput, miopenTensorDescriptor_t dweightDesc, void dweight)
	Execute a PReLU backward layer. More...

miopenStatus_t	miopenGetSoftMarginLossForwardWorkspaceSize (miopenHandle_t handle, miopenTensorDescriptor_t inputDesc, miopenTensorDescriptor_t targetDesc, miopenTensorDescriptor_t outputDesc, miopenLossReductionMode_t reduction, size_t *sizeInBytes)
	Helper function to query the minimum workspace size required by the SoftMarginLossForward call. More...

miopenStatus_t	miopenSoftMarginLossForward (miopenHandle_t handle, miopenTensorDescriptor_t inputDesc, const void input, miopenTensorDescriptor_t targetDesc, const void target, miopenTensorDescriptor_t outputDesc, void output, miopenLossReductionMode_t reduction, void workspace=nullptr, size_t workspaceSizeInBytes=0)
	Execute a SoftMarginLoss forward layer. More...

miopenStatus_t	miopenSoftMarginLossBackward (miopenHandle_t handle, miopenTensorDescriptor_t inputDesc, const void input, miopenTensorDescriptor_t targetDesc, const void target, miopenTensorDescriptor_t doutputDesc, const void doutput, miopenTensorDescriptor_t dinputDesc, void dinput, miopenLossReductionMode_t reduction)
	Execute a SoftMarginLoss backward layer. More...

miopenStatus_t	miopenGetMultiMarginLossForwardWorkspaceSize (miopenHandle_t handle, miopenTensorDescriptor_t inputDesc, miopenTensorDescriptor_t targetDesc, miopenTensorDescriptor_t weightDesc, miopenTensorDescriptor_t outputDesc, long p, float margin, miopenLossReductionMode_t reduction, size_t *sizeInBytes)
	Helper function to query the minimum workspace size required by the MultiMarginLossForward call. More...

miopenStatus_t	miopenMultiMarginLossForward (miopenHandle_t handle, miopenTensorDescriptor_t inputDesc, const void input, miopenTensorDescriptor_t targetDesc, const void target, miopenTensorDescriptor_t weightDesc, const void weight, miopenTensorDescriptor_t outputDesc, void output, long p, float margin, miopenLossReductionMode_t reduction, void *workspace, size_t workspaceSizeInBytes)
	Execute a MultiMarginLoss forward layer. More...

Macro Definition Documentation

◆ MIOPEN_DECLARE_OBJECT

#define MIOPEN_DECLARE_OBJECT ( name )

Value:

    struct name                     \
    {                               \
    };                              \
    typedef struct name* name##_t;

Constructs type name from a struct

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

Enumeration Type Documentation

◆ miopenNanPropagation_t

enum miopenNanPropagation_t

Enumerator
MIOPEN_NOT_PROPAGATE_NAN	does not propagate Nan number
MIOPEN_PROPAGATE_NAN	propagate the Nan number by the Reduction operation

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

◆ miopenPaddingMode_t

enum miopenPaddingMode_t

Padding mode selection for convolution/Pooling layer preference

Enumerator
miopenPaddingDefault	MIOPEN Default Padding
miopenPaddingSame	Tensorflow SAME Padding
miopenPaddingValid	Tensorflow VALID Padding

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

◆ miopenReduceCalculationNanPropagation_t

enum miopenReduceCalculationNanPropagation_t

Nan numbers propagation modes for reduce calculation

Enumerator
MIOPEN_REDUCE_CALCULATION_NOT_PROPAGATE_NAN	does not propagate Nan number
MIOPEN_REDUCE_CALCULATION_PROPAGATE_NAN	propagate the Nan number by the Reduction operation

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

Function Documentation

◆ MIOPEN_DECLARE_OBJECT() [1/5]

MIOPEN_DECLARE_OBJECT ( miopenDropoutDescriptor )

Creates the miopenDropoutDescriptor_t type.

◆ MIOPEN_DECLARE_OBJECT() [2/5]

MIOPEN_DECLARE_OBJECT ( miopenFusionOpDescriptor )

Creates the miopenFusionOpDescriptor_t type.

Fusion Operator Descriptor contains the meta-data associated with an operator to be fused in a compute graph

◆ MIOPEN_DECLARE_OBJECT() [3/5]

MIOPEN_DECLARE_OBJECT ( miopenMhaDescriptor )

Creates the miopenMhaDescriptor_t type.

◆ MIOPEN_DECLARE_OBJECT() [4/5]

MIOPEN_DECLARE_OBJECT ( miopenOperatorArgs )

◆ MIOPEN_DECLARE_OBJECT() [5/5]

MIOPEN_DECLARE_OBJECT ( miopenOperatorDescriptor )

/home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h File Reference

/home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h File Reference#

Classes

Macros

Typedefs

Enumerations

Functions