45 lines
1.8 KiB
Python
45 lines
1.8 KiB
Python
# Copyright (C) 2018-2023 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 TestEnsureShape(CommonTFLayerTest):
|
|
def _prepare_input(self, inputs_info):
|
|
assert 'tensor' in inputs_info
|
|
tensor_shape = inputs_info['tensor']
|
|
inputs_data = {}
|
|
inputs_data['tensor'] = np.random.randint(-10, 10, tensor_shape).astype(self.input_type)
|
|
return inputs_data
|
|
|
|
def create_ensure_shape_net(self, input_shape, input_type, target_shape):
|
|
self.input_type = input_type
|
|
tf.compat.v1.reset_default_graph()
|
|
# Create the graph and model
|
|
with tf.compat.v1.Session() as sess:
|
|
tensor = tf.compat.v1.placeholder(input_type, input_shape, 'tensor')
|
|
shape = tf.constant(target_shape, dtype=tf.int32)
|
|
reshape = tf.raw_ops.Reshape(tensor=tensor, shape=shape)
|
|
tf.raw_ops.EnsureShape(input=reshape, shape=target_shape)
|
|
tf.compat.v1.global_variables_initializer()
|
|
tf_net = sess.graph_def
|
|
|
|
return tf_net, None
|
|
|
|
test_data_basic = [
|
|
dict(input_shape=[2, 6], input_type=np.float32, target_shape=[2, 3, 2]),
|
|
dict(input_shape=[1], input_type=np.float32, target_shape=[]),
|
|
]
|
|
|
|
@pytest.mark.parametrize("params", test_data_basic)
|
|
@pytest.mark.precommit_tf_fe
|
|
@pytest.mark.nightly
|
|
def test_ensure_shape_basic(self, params, ie_device, precision, ir_version, temp_dir,
|
|
use_new_frontend, use_old_api):
|
|
self._test(*self.create_ensure_shape_net(**params),
|
|
ie_device, precision, ir_version, temp_dir=temp_dir,
|
|
use_new_frontend=use_new_frontend, use_old_api=use_old_api)
|