def _build_model(model_file, data_format): input_shape = ((None, 28, 28, 1) if data_format == 'NHWC' else (None, 1, 28, 28)) model_def = nn.get_model_config(model_file, input_shape=input_shape, n_classes=10) return nn.make_model(model_def)
def _build_model(model_file, data_format): input_shape = ( (None, 28, 28, 1) if data_format == 'NHWC' else (None, 1, 28, 28) ) model_def = nn.get_model_config( model_file, input_shape=input_shape, n_classes=10) return nn.make_model(model_def)
def _build_model(model_file, data_format, batch_size): input_shape = ( [batch_size, 28, 28, 1] if data_format == 'NHWC' else [batch_size, 1, 28, 28] ) model_def = nn.get_model_config(model_file, input_shape=input_shape) return nn.make_model(model_def)
def _gen_model_def(self, n_actions): cfg = self.args['model_config'] fmt = luchador.get_nn_conv_format() w, h, c = cfg['input_width'], cfg['input_height'], cfg['input_channel'] shape = [None, h, w, c] if fmt == 'NHWC' else [None, c, h, w] return nn.get_model_config(cfg['model_file'], n_actions=n_actions, input_shape=shape)
def _build_model(model_file, input_shape): model_def = nn.get_model_config(model_file, input_shape=input_shape) return nn.make_model(model_def)
def _build_models(model_file): _LG.info('Loading model %s', model_file) model_def = nn.get_model_config(model_file) return nn.make_model(model_def)
def _build_models(model_file): _LG.info('Loading model %s', model_file) model_def = nn.get_model_config(model_file) return nn.make_model(model_def)
def _build_model(model_file, data_format, batch_size): input_shape = ([batch_size, 28, 28, 1] if data_format == 'NHWC' else [batch_size, 1, 28, 28]) model_def = nn.get_model_config(model_file, input_shape=input_shape) return nn.make_model(model_def)
def _build_model(model_file, input_shape, batch_size): model_def = nn.get_model_config( model_file, input_shape=input_shape, batch_size=batch_size, n_classes=10) return nn.make_model(model_def)
def _gen_model_def(model_file): return nn.get_model_config(model_file, n_actions=N_ACTIONS, input_shape=SHAPE)