Python get_model_config Examples

Example #1

File: classify_mnist.py Project: mot0/luchador

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)

Example #2

File: classify_mnist.py Project: mthrok/luchador

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)

Example #3

File: train_ae.py Project: mthrok/luchador

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)

Example #4

 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)

Example #5

File: run_autoencoder.py Project: lza93/luchador

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)

Example #6

File: train_gan.py Project: mthrok/luchador

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)

Example #7

File: train_gan.py Project: mot0/luchador

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)

Example #8

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)

Example #9

File: classify_mnist.py Project: lza93/luchador

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)

Example #10

def _gen_model_def(model_file):
    return nn.get_model_config(model_file,
                               n_actions=N_ACTIONS,
                               input_shape=SHAPE)