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 _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 _make_model(config_path, input_shape):
config = luchador.nn.get_model_config(config_path, input_shape=input_shape)
model_def = config['model']
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 _make_model(config_path, input_shape):
config = luchador.nn.get_model_config(config_path, input_shape=input_shape)
model_def = config['model']
return nn.make_model(model_def)