51 lines
2.1 KiB
Python
51 lines
2.1 KiB
Python
# Copyright (C) 2023 Intel Corporation
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
|
|
import numpy as np
|
|
import pytest
|
|
import tensorflow as tf
|
|
from common.tf_layer_test_class import CommonTFLayerTest
|
|
|
|
|
|
class TestClipByValue(CommonTFLayerTest):
|
|
def _prepare_input(self, inputs_info):
|
|
assert 't' in inputs_info, "Test error: inputs_info must contain `t`"
|
|
t_shape = inputs_info['t']
|
|
clip_value_min_shape = inputs_info['clip_value_min']
|
|
clip_value_max_shape = inputs_info['clip_value_max']
|
|
inputs_data = {}
|
|
inputs_data['t'] = np.random.randint(-10, 10, t_shape).astype(np.float32)
|
|
inputs_data['clip_value_min'] = np.random.randint(-10, 10, clip_value_min_shape).astype(np.float32)
|
|
inputs_data['clip_value_max'] = np.random.randint(-10, 10, clip_value_max_shape).astype(np.float32)
|
|
return inputs_data
|
|
|
|
def create_clip_by_value_net(self, t_shape):
|
|
tf.compat.v1.reset_default_graph()
|
|
# Create the graph and model
|
|
with tf.compat.v1.Session() as sess:
|
|
t = tf.compat.v1.placeholder(tf.float32, t_shape, 't')
|
|
clip_value_min = tf.compat.v1.placeholder(tf.float32, [], 'clip_value_min')
|
|
clip_value_max = tf.compat.v1.placeholder(tf.float32, [], 'clip_value_max')
|
|
tf.raw_ops.ClipByValue(t=t, clip_value_min=clip_value_min, clip_value_max=clip_value_max)
|
|
tf.compat.v1.global_variables_initializer()
|
|
|
|
tf_net = sess.graph_def
|
|
|
|
return tf_net, None
|
|
|
|
test_data_basic = [
|
|
dict(t_shape=[]),
|
|
dict(t_shape=[2, 3]),
|
|
dict(t_shape=[4, 1, 3]),
|
|
]
|
|
|
|
@pytest.mark.parametrize("params", test_data_basic)
|
|
@pytest.mark.precommit_tf_fe
|
|
@pytest.mark.nightly
|
|
def test_clip_by_value_basic(self, params, ie_device, precision, ir_version, temp_dir,
|
|
use_new_frontend, use_old_api):
|
|
self._test(
|
|
*self.create_clip_by_value_net(**params), ie_device,
|
|
precision, temp_dir=temp_dir, ir_version=ir_version, use_new_frontend=use_new_frontend,
|
|
use_old_api=use_old_api, **params)
|