[TF] Added BroadcastTo layer tests (#15205)

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Georgy Krivoruchko 2023-01-24 13:55:59 +04:00 committed by GitHub
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# Copyright (C) 2023 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import numpy as np
import pytest
from common.tf_layer_test_class import CommonTFLayerTest
# Testing BroadcastTo operation
# Documentation: https://www.tensorflow.org/api_docs/python/tf/raw_ops/BroadcastTo
class TestBroadcastTo(CommonTFLayerTest):
# input_shape - shape a tensor for a broadcast
# broadcast_shape - shape of output
# ir_version - common parameter
# use_new_frontend - common parameter
def create_broadcastto_placeholder_const_net(self, input_shape, broadcast_shape, ir_version, use_new_frontend):
"""
Tensorflow net IR net
Placeholder->BroadcastTo => Placeholder->Broadcast
"""
import tensorflow as tf
tf.compat.v1.reset_default_graph()
# Create the graph and model
with tf.compat.v1.Session() as sess:
tf_input = tf.compat.v1.placeholder(tf.int32, input_shape, 'Input')
tf.raw_ops.BroadcastTo(input = tf_input, shape = broadcast_shape)
tf.compat.v1.global_variables_initializer()
tf_net = sess.graph_def
ref_net = None
return tf_net, ref_net
test_data = [
dict(input_shape=[3], broadcast_shape=[2, 3]),
dict(input_shape=[3, 4, 5], broadcast_shape = [4, 3, 3, 4, 5]),
dict(input_shape=[1, 2, 3, 5], broadcast_shape = [4, 1, 2, 3, 5])
]
@pytest.mark.parametrize("params", test_data)
@pytest.mark.precommit_tf_fe
@pytest.mark.nightly
def test_broadcastto_placeholder_const(self, params, ie_device, precision, ir_version, temp_dir,
use_new_frontend, use_old_api):
self._test(*self.create_broadcastto_placeholder_const_net(**params, ir_version=ir_version,
use_new_frontend=use_new_frontend),
ie_device, precision, ir_version, temp_dir=temp_dir,
use_new_frontend=use_new_frontend, use_old_api=use_old_api)