STT-tensorflow/tensorflow/lite/testing/op_tests/splitv.py
Nupur Garg 2fb71ff8cf Make generate_examples run in 2.0.
PiperOrigin-RevId: 298616596
Change-Id: Ib0be0a8929e75634924c28165f6fcd998b77add9
2020-03-03 08:59:39 -08:00

54 lines
2.1 KiB
Python

# Copyright 2019 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 splitv."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
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_splitv_tests(options):
"""Make a set of tests to do tf.split_v."""
test_parameters = [{
"input_shape": [[1, 3, 4, 6], [2, 4, 1], [6, 4], [8]],
"size_splits": [[2, 2], [1, 3], [4, 2], [5, 3], [-1, 1], [-1, 2], [-1,
4]],
"axis": [0, 1, 2, 3, -4, -3, -2, -1],
}]
def build_graph(parameters):
input_tensor = tf.compat.v1.placeholder(
dtype=tf.float32, name="input", shape=parameters["input_shape"])
out = tf.split(input_tensor, parameters["size_splits"], parameters["axis"])
return [input_tensor], [out[0]]
def build_inputs(parameters, sess, inputs, outputs):
values = [create_tensor_data(np.float32, parameters["input_shape"])]
return values, sess.run(outputs, feed_dict=dict(zip(inputs, values)))
make_zip_of_tests(
options,
test_parameters,
build_graph,
build_inputs,
expected_tf_failures=158)