enum dnnl::graph::op::kind

Intel® oneAPI Deep Neural Network Developer Guide and Reference

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ID 768875
Date 2/28/2024
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enum dnnl::graph::op::kind

Kinds of operations.

#include <dnnl_graph.hpp>

enum kind
{
    Abs                          = dnnl_graph_op_abs,
    AbsBackward                  = dnnl_graph_op_abs_backward,
    Add                          = dnnl_graph_op_add,
    AvgPool                      = dnnl_graph_op_avg_pool,
    AvgPoolBackward              = dnnl_graph_op_avg_pool_backward,
    BatchNormForwardTraining     = dnnl_graph_op_batch_norm_forward_training,
    BatchNormInference           = dnnl_graph_op_batch_norm_inference,
    BatchNormTrainingBackward    = dnnl_graph_op_batch_norm_backward,
    BiasAdd                      = dnnl_graph_op_bias_add,
    BiasAddBackward              = dnnl_graph_op_bias_add_backward,
    Clamp                        = dnnl_graph_op_clamp,
    ClampBackward                = dnnl_graph_op_clamp_backward,
    Concat                       = dnnl_graph_op_concat,
    Convolution                  = dnnl_graph_op_convolution,
    ConvolutionBackwardData      = dnnl_graph_op_convolution_backward_data,
    ConvolutionBackwardWeights   = dnnl_graph_op_convolution_backward_weights,
    ConvTranspose                = dnnl_graph_op_conv_transpose,
    ConvTransposeBackwardData    = dnnl_graph_op_conv_transpose_backward_data,
    ConvTransposeBackwardWeights = dnnl_graph_op_conv_transpose_backward_weights,
    Dequantize                   = dnnl_graph_op_dequantize,
    Divide                       = dnnl_graph_op_divide,
    DynamicDequantize            = dnnl_graph_op_dynamic_dequantize,
    DynamicQuantize              = dnnl_graph_op_dynamic_quantize,
    Elu                          = dnnl_graph_op_elu,
    EluBackward                  = dnnl_graph_op_elu_backward,
    End                          = dnnl_graph_op_end,
    Exp                          = dnnl_graph_op_exp,
    GELU                         = dnnl_graph_op_gelu,
    GELUBackward                 = dnnl_graph_op_gelu_backward,
    HardSigmoid                  = dnnl_graph_op_hard_sigmoid,
    HardSigmoidBackward          = dnnl_graph_op_hard_sigmoid_backward,
    HardSwish                    = dnnl_graph_op_hard_swish,
    HardSwishBackward            = dnnl_graph_op_hard_swish_backward,
    Interpolate                  = dnnl_graph_op_interpolate,
    InterpolateBackward          = dnnl_graph_op_interpolate_backward,
    LayerNorm                    = dnnl_graph_op_layer_norm,
    LayerNormBackward            = dnnl_graph_op_layer_norm_backward,
    LeakyReLU                    = dnnl_graph_op_leaky_relu,
    Log                          = dnnl_graph_op_log,
    LogSoftmax                   = dnnl_graph_op_log_softmax,
    LogSoftmaxBackward           = dnnl_graph_op_log_softmax_backward,
    MatMul                       = dnnl_graph_op_matmul,
    Maximum                      = dnnl_graph_op_maximum,
    MaxPool                      = dnnl_graph_op_max_pool,
    MaxPoolBackward              = dnnl_graph_op_max_pool_backward,
    Minimum                      = dnnl_graph_op_minimum,
    Mish                         = dnnl_graph_op_mish,
    MishBackward                 = dnnl_graph_op_mish_backward,
    Multiply                     = dnnl_graph_op_multiply,
    Pow                          = dnnl_graph_op_pow,
    PReLU                        = dnnl_graph_op_prelu,
    PReLUBackward                = dnnl_graph_op_prelu_backward,
    Quantize                     = dnnl_graph_op_quantize,
    Reciprocal                   = dnnl_graph_op_reciprocal,
    ReduceL1                     = dnnl_graph_op_reduce_l1,
    ReduceL2                     = dnnl_graph_op_reduce_l2,
    ReduceMax                    = dnnl_graph_op_reduce_max,
    ReduceMean                   = dnnl_graph_op_reduce_mean,
    ReduceMin                    = dnnl_graph_op_reduce_min,
    ReduceProd                   = dnnl_graph_op_reduce_prod,
    ReduceSum                    = dnnl_graph_op_reduce_sum,
    ReLU                         = dnnl_graph_op_relu,
    ReLUBackward                 = dnnl_graph_op_relu_backward,
    Reorder                      = dnnl_graph_op_reorder,
    Round                        = dnnl_graph_op_round,
    Select                       = dnnl_graph_op_select,
    Sigmoid                      = dnnl_graph_op_sigmoid,
    SigmoidBackward              = dnnl_graph_op_sigmoid_backward,
    SoftMax                      = dnnl_graph_op_softmax,
    SoftMaxBackward              = dnnl_graph_op_softmax_backward,
    SoftPlus                     = dnnl_graph_op_softplus,
    SoftPlusBackward             = dnnl_graph_op_softplus_backward,
    Sqrt                         = dnnl_graph_op_sqrt,
    SqrtBackward                 = dnnl_graph_op_sqrt_backward,
    Square                       = dnnl_graph_op_square,
    SquaredDifference            = dnnl_graph_op_squared_difference,
    StaticReshape                = dnnl_graph_op_static_reshape,
    StaticTranspose              = dnnl_graph_op_static_transpose,
    Subtract                     = dnnl_graph_op_subtract,
    Tanh                         = dnnl_graph_op_tanh,
    TanhBackward                 = dnnl_graph_op_tanh_backward,
    TypeCast                     = dnnl_graph_op_type_cast,
    Wildcard                     = dnnl_graph_op_wildcard,
    LastSymbol                   = dnnl_graph_op_last_symbol,
};
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Intel® oneAPI Deep Neural Network Developer Guide and Reference

enum dnnl::graph::op::kind
