tensorflow/lite/testing/op_tests/cumsum.py

# Copyright 2020 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.
# ==============================================================================
"""Test configs for cumsum."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import tensorflow.compat.v1 as tf
from tensorflow.lite.testing.zip_test_utils import create_tensor_data
from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests
from tensorflow.lite.testing.zip_test_utils import register_make_test_function


@register_make_test_function()
def make_cumsum_tests(options):
  """Make a set of tests to do cumsum."""

  test_parameters = [{
      "shape": [(3, 6), (8, 9, 7)],
      "dtype": [tf.int32, tf.int64, tf.float32],
      "axis": [0, 1],
      "exclusive": [True, False],
      "reverse": [True, False],
  }]

  def build_graph(parameters):
    """Build the cumsum op testing graph."""
    input1 = tf.compat.v1.placeholder(
        dtype=parameters["dtype"], shape=parameters["shape"])
    out = tf.math.cumsum(
        input1,
        parameters["axis"],
        exclusive=parameters["exclusive"],
        reverse=parameters["reverse"])
    return [input1], [out]

  def build_inputs(parameters, sess, inputs, outputs):
    input1 = create_tensor_data(parameters["dtype"], parameters["shape"])
    return [input1], sess.run(outputs, feed_dict=dict(zip(inputs, [input1])))

  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)