wehub-resource-sync
71 lines
2.5 KiB
Python
71 lines
2.5 KiB
Python
# Copyright 2021 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 exp."""
|
|
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_conv3d_tests(options):
|
|
"""Make a set of tests to do conv3d."""
|
|
|
|
test_parameters = [{
|
|
"input_dtype": [tf.float32],
|
|
"input_shape": [[2, 3, 4, 5, 3], [2, 5, 6, 8, 3]],
|
|
"filter_shape": [[2, 2, 2, 3, 2], [1, 2, 2, 3, 2]],
|
|
"strides": [(1, 1, 1, 1, 1), (1, 1, 1, 2, 1), (1, 1, 2, 2, 1),
|
|
(1, 2, 1, 2, 1), (1, 2, 2, 2, 1)],
|
|
"dilations": [(1, 1, 1, 1, 1)],
|
|
"padding": ["SAME", "VALID"],
|
|
}]
|
|
|
|
def build_graph(parameters):
|
|
"""Build the exp op testing graph."""
|
|
input_tensor = tf.compat.v1.placeholder(
|
|
dtype=parameters["input_dtype"],
|
|
name="input",
|
|
shape=parameters["input_shape"])
|
|
filter_tensor = tf.compat.v1.placeholder(
|
|
dtype=parameters["input_dtype"],
|
|
name="filter",
|
|
shape=parameters["filter_shape"])
|
|
|
|
out = tf.nn.conv3d(
|
|
input_tensor,
|
|
filter_tensor,
|
|
strides=parameters["strides"],
|
|
dilations=parameters["dilations"],
|
|
padding=parameters["padding"])
|
|
return [input_tensor, filter_tensor], [out]
|
|
|
|
def build_inputs(parameters, sess, inputs, outputs):
|
|
values = [
|
|
create_tensor_data(
|
|
parameters["input_dtype"],
|
|
parameters["input_shape"],
|
|
min_value=-100,
|
|
max_value=9),
|
|
create_tensor_data(
|
|
parameters["input_dtype"],
|
|
parameters["filter_shape"],
|
|
min_value=-3,
|
|
max_value=3)
|
|
]
|
|
return values, sess.run(outputs, feed_dict=dict(zip(inputs, values)))
|
|
|
|
make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
|