How to use the hls4ml.model.hls_model.Concatenate function in hls4ml

To help you get started, we’ve selected a few hls4ml examples, based on popular ways it is used in public projects.

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hls-fpga-machine-learning / hls4ml / hls4ml / model / hls_model.py View on Github

'LeakyReLU'          : ParametrizedActivation,
    'ThresholdedReLU'    : ParametrizedActivation,
    'ELU'                : ParametrizedActivation,
    'PReLU'              : PReLU,
    'Dense'              : Dense,
    'BinaryDense'        : Dense,
    'TernaryDense'       : Dense,
    'Conv1D'             : Conv1D,
    'Conv2D'             : Conv2D,
    'BatchNormalization' : BatchNormalization,
    'MaxPooling1D'       : Pooling1D,
    'AveragePooling1D'   : Pooling1D,
    'MaxPooling2D'       : Pooling2D,
    'AveragePooling2D'   : Pooling2D,
    'Merge'              : Merge,
    'Concatenate'        : Concatenate,
}

def register_layer(name, clazz):
    global layer_map
    layer_map[name] = clazz

How to use the hls4ml.model.hls_model.Concatenate function in hls4ml

To help you get started, we’ve selected a few hls4ml examples, based on popular ways it is used in public projects.

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