def test_tf_net_predict_dataset(self):
tfnet_path = os.path.join(TestTF.resource_path, "tfnet")
net = TFNet.from_export_folder(tfnet_path)
dataset = TFDataset.from_ndarrays((np.random.rand(16, 4), ))
output = net.predict(dataset)
output = np.stack(output.collect())
assert output.shape == (16, 2)
def test_tf_net_predict(self):
tfnet_path = os.path.join(TestTF.resource_path, "tfnet")
import tensorflow as tf
tf_session_config = tf.ConfigProto(inter_op_parallelism_threads=1,
intra_op_parallelism_threads=1)
net = TFNet.from_export_folder(tfnet_path,
tf_session_config=tf_session_config)
output = net.predict(np.random.rand(16, 4),
batch_per_thread=5,
distributed=False)
assert output.shape == (16, 2)
def test_init_tf_net(self):
tfnet_path = os.path.join(TestTF.resource_path, "tfnet")
net = TFNet.from_export_folder(tfnet_path)
output = net.forward(np.random.rand(2, 4))
assert output.shape == (2, 2)