# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Tests for embedding layers."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

from tensorflow.python.keras._impl import keras
from tensorflow.python.keras._impl.keras import testing_utils
from tensorflow.python.platform import test


class EmbeddingTest(test.TestCase):

  def test_embedding(self):
    with self.test_session():
      testing_utils.layer_test(
          keras.layers.Embedding,
          kwargs={'output_dim': 4,
                  'input_dim': 10,
                  'input_length': 2},
          input_shape=(3, 2),
          input_dtype='int32',
          expected_output_dtype='float32')

    with self.test_session():
      testing_utils.layer_test(
          keras.layers.Embedding,
          kwargs={'output_dim': 4,
                  'input_dim': 10,
                  'mask_zero': True},
          input_shape=(3, 2),
          input_dtype='int32',
          expected_output_dtype='float32')

    with self.test_session():
      testing_utils.layer_test(
          keras.layers.Embedding,
          kwargs={'output_dim': 4,
                  'input_dim': 10,
                  'mask_zero': True},
          input_shape=(3, 4, 2),
          input_dtype='int32',
          expected_output_dtype='float32')

    with self.test_session():
      testing_utils.layer_test(
          keras.layers.Embedding,
          kwargs={'output_dim': 4,
                  'input_dim': 10,
                  'mask_zero': True,
                  'input_length': (None, 2)},
          input_shape=(3, 4, 2),
          input_dtype='int32',
          expected_output_dtype='float32')


if __name__ == '__main__':
  test.main()
