hls4ml.converters.keras package
Submodules
hls4ml.converters.keras.convolution module
- hls4ml.converters.keras.convolution.parse_conv1d_layer(keras_layer, input_names, input_shapes, data_reader)
- hls4ml.converters.keras.convolution.parse_conv2d_layer(keras_layer, input_names, input_shapes, data_reader)
hls4ml.converters.keras.core module
- hls4ml.converters.keras.core.parse_activation_layer(keras_layer, input_names, input_shapes, data_reader)
- hls4ml.converters.keras.core.parse_batchnorm_layer(keras_layer, input_names, input_shapes, data_reader)
- hls4ml.converters.keras.core.parse_dense_layer(keras_layer, input_names, input_shapes, data_reader)
- hls4ml.converters.keras.core.parse_embedding_layer(keras_layer, input_names, input_shapes, data_reader)
- hls4ml.converters.keras.core.parse_input_layer(keras_layer, input_names, input_shapes, data_reader)
hls4ml.converters.keras.graph module
- hls4ml.converters.keras.graph.parse_garnet_layer(keras_layer, input_names, input_shapes, data_reader)
hls4ml.converters.keras.merge module
- hls4ml.converters.keras.merge.parse_merge_layer(keras_layer, input_names, input_shapes, data_reader)
hls4ml.converters.keras.pooling module
- hls4ml.converters.keras.pooling.parse_global_pooling_layer(keras_layer, input_names, input_shapes, data_reader)
- hls4ml.converters.keras.pooling.parse_pooling_layer(keras_layer, input_names, input_shapes, data_reader)
hls4ml.converters.keras.qkeras module
- class hls4ml.converters.keras.qkeras.QKerasBinaryQuantizer(config, xnor=False)
Bases:
object
- class hls4ml.converters.keras.qkeras.QKerasPO2Quantizer(config)
Bases:
object
- hls4ml.converters.keras.qkeras.get_quantizer_from_config(keras_layer, quantizer_var)
- hls4ml.converters.keras.qkeras.get_type(quantizer_config)
hls4ml.converters.keras.qkeras_layers module
- hls4ml.converters.keras.qkeras_layers.parse_qactivation_layer(keras_layer, input_names, input_shapes, data_reader)
- hls4ml.converters.keras.qkeras_layers.parse_qbatchnorm_layer(keras_layer, input_names, input_shapes, data_reader)
- hls4ml.converters.keras.qkeras_layers.parse_qconv2dbatchnorm_layer(keras_layer, input_names, input_shapes, data_reader)
- hls4ml.converters.keras.qkeras_layers.parse_qconv_layer(keras_layer, input_names, input_shapes, data_reader)
- hls4ml.converters.keras.qkeras_layers.parse_qdense_layer(keras_layer, input_names, input_shapes, data_reader)
hls4ml.converters.keras.recurrent module
- hls4ml.converters.keras.recurrent.parse_rnn_layer(keras_layer, input_names, input_shapes, data_reader)
hls4ml.converters.keras.reshape module
- hls4ml.converters.keras.reshape.parse_flatten_layer(keras_layer, input_names, input_shapes, data_reader)
- hls4ml.converters.keras.reshape.parse_permute_layer(keras_layer, input_names, input_shapes, data_reader)
- hls4ml.converters.keras.reshape.parse_reshape_layer(keras_layer, input_names, input_shapes, data_reader)
- hls4ml.converters.keras.reshape.parse_upsampling1d_layer(keras_layer, input_names, input_shapes, data_reader)
- hls4ml.converters.keras.reshape.parse_upsampling2d_layer(keras_layer, input_names, input_shapes, data_reader)
hls4ml.converters.keras.reshaping module
- hls4ml.converters.keras.reshaping.parse_zeropadding1d_layer(keras_layer, input_names, input_shapes, data_reader)
- hls4ml.converters.keras.reshaping.parse_zeropadding2d_layer(keras_layer, input_names, input_shapes, data_reader)