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1# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7#     http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
14# ==============================================================================
15"""Test configs for pack."""
16from __future__ import absolute_import
17from __future__ import division
18from __future__ import print_function
19
20import numpy as np
21import tensorflow.compat.v1 as tf
22from tensorflow.lite.testing.zip_test_utils import create_tensor_data
23from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests
24from tensorflow.lite.testing.zip_test_utils import register_make_test_function
25
26
27@register_make_test_function()
28def make_pack_tests(options):
29  """Make a set of tests to do stack."""
30
31  test_parameters = [
32      # Avoid creating all combinations to keep the test size small.
33      {
34          "dtype": [tf.float32],
35          "base_shape": [[3, 4, 3], [3, 4], [5]],
36          "num_tensors": [1, 2, 3, 4, 5, 6],
37          "axis": [0, 1, 2, 3],
38          "additional_shape": [1, 2, 3],
39          "fully_quantize": [False],
40      },
41      {
42          "dtype": [tf.int32],
43          "base_shape": [[3, 4, 3], [3, 4], [5]],
44          "num_tensors": [6],
45          "axis": [0, 1, 2, 3],
46          "additional_shape": [1, 2, 3],
47          "fully_quantize": [False],
48      },
49      {
50          "dtype": [tf.int64],
51          "base_shape": [[3, 4, 3], [3, 4], [5]],
52          "num_tensors": [5],
53          "axis": [0, 1, 2, 3],
54          "additional_shape": [1, 2, 3],
55          "fully_quantize": [False],
56      },
57      {
58          "dtype": [tf.float32],
59          "base_shape": [[1, 4, 3], [3, 4], [5]],
60          "num_tensors": [2, 3, 4, 5, 6],  # 1 tensor would go to Reshape.
61          "axis": [0, 1, 2, 3],
62          "additional_shape": [1, 2, 3],
63          "fully_quantize": [True],
64      },
65  ]
66
67  def get_shape(parameters):
68    """Return a tweaked version of 'base_shape'."""
69    axis = parameters["axis"]
70    shape = parameters["base_shape"][:]
71    if axis < len(shape):
72      shape[axis] += parameters["additional_shape"]
73    return shape
74
75  def build_graph(parameters):
76    all_tensors = []
77    for n in range(0, parameters["num_tensors"]):
78      input_tensor = tf.compat.v1.placeholder(
79          dtype=parameters["dtype"],
80          name=("input%d" % n),
81          shape=get_shape(parameters))
82      all_tensors.append(input_tensor)
83    out = tf.stack(all_tensors, parameters["axis"])
84    return all_tensors, [out]
85
86  def build_inputs(parameters, sess, inputs, outputs):
87    all_values = []
88    for _ in range(0, parameters["num_tensors"]):
89      input_values = create_tensor_data(
90          np.float32, get_shape(parameters), min_value=-1, max_value=1)
91      all_values.append(input_values)
92    return all_values, sess.run(
93        outputs, feed_dict=dict(zip(inputs, all_values)))
94
95  make_zip_of_tests(
96      options,
97      test_parameters,
98      build_graph,
99      build_inputs,
100      expected_tf_failures=117)
101