56 lines
2.1 KiB
Python
56 lines
2.1 KiB
Python
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Test configs for range."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import tensorflow.compat.v1 as tf
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from tensorflow.lite.testing.zip_test_utils import create_scalar_data
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from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests
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from tensorflow.lite.testing.zip_test_utils import register_make_test_function
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@register_make_test_function()
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def make_range_tests(options):
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"""Make a set of tests to do range."""
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test_parameters = [{
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"dtype": [tf.int32, tf.float32],
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"offset": [10, 100, 1000],
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"delta": [1, 2, 3, 4, -1, -2, -3, -4],
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}]
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def build_graph(parameters):
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"""Build the range op testing graph."""
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input_tensor = tf.compat.v1.placeholder(
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dtype=parameters["dtype"], name=("start"), shape=[])
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if parameters["delta"] < 0:
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offset = parameters["offset"] * -1
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else:
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offset = parameters["offset"]
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delta = parameters["delta"]
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limit_tensor = input_tensor + offset
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delta_tensor = tf.constant(delta, dtype=parameters["dtype"])
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out = tf.range(input_tensor, limit_tensor, delta_tensor)
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return [input_tensor], [out]
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def build_inputs(parameters, sess, inputs, outputs):
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input_value = create_scalar_data(parameters["dtype"])
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return [input_value], sess.run(
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outputs, feed_dict=dict(zip(inputs, [input_value])))
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make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
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