message: Train the model on a single data partition
diff: @@ -4,34 +4,17 @@ from autofl.fedml import net
  def main():
  + # Load data
  x_splits, y_splits, x_test, y_test = mnist_f.load_splits()
  print(len(x_splits))
  print(len(y_splits))
  -
  + # Create model
  model = net.fc()
  model.summary()
  -
  -
  -def tf_hello_world():
  - # Source: https://www.tensorflow.org/overview/
  - mnist = tf.keras.datasets.mnist
  -
  - (x_train, y_train), (x_test, y_test) = mnist.load_data()
  + # Train model using only one partition
  + x_train = x_splits[0]
  + y_train = y_splits[0]
  x_train, x_test = x_train / 255.0, x_test / 255.0
  -
  - model = tf.keras.models.Sequential(
  - [
  - tf.keras.layers.Flatten(input_shape=(28, 28)),
  - tf.keras.layers.Dense(128, activation="relu"),
  - tf.keras.layers.Dropout(0.2),
  - tf.keras.layers.Dense(10, activation="softmax"),
  - ]
  - )
  -
  - model.compile(
  - optimizer="adam", loss="sparse_categorical_crossentropy", metrics=["accuracy"]
  - )
  -
  model.fit(x_train, y_train, epochs=5)
  model.evaluate(x_test, y_test)
  