wehub-resource-sync
53 lines
2.1 KiB
Python
53 lines
2.1 KiB
Python
# Copyright 2022 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 atan2."""
|
|
import tensorflow 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_atan2_tests(options):
|
|
"""Make a set of tests to do atan2."""
|
|
|
|
test_parameters = [{
|
|
"input_dtype": [tf.float32, tf.float64],
|
|
"input_shape": [[], [1], [1, 2], [5, 6, 7, 8], [3, 4, 5, 6]]
|
|
}]
|
|
|
|
def build_graph(parameters):
|
|
"""Build the atan2 op testing graph."""
|
|
input_value1 = tf.compat.v1.placeholder(
|
|
dtype=parameters["input_dtype"],
|
|
name="y",
|
|
shape=parameters["input_shape"])
|
|
input_value2 = tf.compat.v1.placeholder(
|
|
dtype=parameters["input_dtype"],
|
|
name="x",
|
|
shape=parameters["input_shape"])
|
|
out = tf.math.atan2(input_value1, input_value2)
|
|
return [input_value1, input_value2], [out]
|
|
|
|
def build_inputs(parameters, sess, inputs, outputs):
|
|
input_value1 = create_tensor_data(parameters["input_dtype"],
|
|
parameters["input_shape"])
|
|
input_value2 = create_tensor_data(parameters["input_dtype"],
|
|
parameters["input_shape"])
|
|
return [input_value1, input_value2], sess.run(
|
|
outputs, feed_dict=dict(zip(inputs, [input_value1, input_value2])))
|
|
|
|
make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
|