c034975183
* [TF FE] Fix layer tests for BatchToSpace and add to the pre-commit Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com> * Specify type for batch_shape --------- Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
68 lines
3.1 KiB
Python
68 lines
3.1 KiB
Python
# Copyright (C) 2018-2023 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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import pytest
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from common.tf_layer_test_class import CommonTFLayerTest
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class TestBatchToSpace(CommonTFLayerTest):
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def create_batch_to_space_net(self, in_shape, crops_value, block_shape_value):
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import tensorflow as tf
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tf.compat.v1.reset_default_graph()
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# Create the graph and model
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with tf.compat.v1.Session() as sess:
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x = tf.compat.v1.placeholder(tf.float32, in_shape, 'Input')
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crops = tf.constant(crops_value, dtype=tf.int32)
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block_shape = tf.constant(block_shape_value, dtype=tf.int32)
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tf.batch_to_space(input=x, block_shape=block_shape, crops=crops, name='Operation')
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tf.compat.v1.global_variables_initializer()
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tf_net = sess.graph_def
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return tf_net, None
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test_data_basic = [
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dict(in_shape=[4, 1, 1, 3], block_shape_value=[1], crops_value=[[0, 0]]),
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dict(in_shape=[12, 1, 1, 3], block_shape_value=[3, 1, 4], crops_value=[[1, 0], [0, 0], [1, 1]]),
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dict(in_shape=[72, 2, 1, 4, 2], block_shape_value=[3, 4, 2],
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crops_value=[[1, 2], [0, 0], [3, 0]]),
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]
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@pytest.mark.parametrize("params", test_data_basic)
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@pytest.mark.precommit_tf_fe
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@pytest.mark.nightly
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def test_batch_to_space_basic(self, params, ie_device, precision, ir_version, temp_dir,
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use_new_frontend, use_old_api):
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self._test(*self.create_batch_to_space_net(**params),
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ie_device, precision, ir_version, temp_dir=temp_dir,
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use_new_frontend=use_new_frontend, use_old_api=use_old_api)
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test_data_4D = [
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dict(in_shape=[4, 1, 1, 3], block_shape_value=[2, 2], crops_value=[[0, 0], [0, 0]]),
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dict(in_shape=[60, 100, 30, 30], block_shape_value=[3, 2], crops_value=[[1, 5], [4, 1]]),
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dict(in_shape=[4, 1, 1, 1], block_shape_value=[2, 1, 2], crops_value=[[0, 0], [0, 0], [0, 0]]),
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dict(in_shape=[36, 2, 2, 3], block_shape_value=[2, 3, 3], crops_value=[[1, 0], [0, 0], [2, 2]])
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]
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@pytest.mark.parametrize("params", test_data_4D)
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@pytest.mark.nightly
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def test_batch_to_space_4D(self, params, ie_device, precision, ir_version, temp_dir,
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use_new_frontend, use_old_api):
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self._test(*self.create_batch_to_space_net(**params),
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ie_device, precision, ir_version, temp_dir=temp_dir,
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use_new_frontend=use_new_frontend, use_old_api=use_old_api)
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test_data_5D = [
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dict(in_shape=[144, 2, 1, 4, 1], block_shape_value=[3, 4, 2, 2],
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crops_value=[[1, 2], [0, 0], [3, 0], [0, 0]]),
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]
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@pytest.mark.parametrize("params", test_data_5D)
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@pytest.mark.nightly
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def test_batch_to_space_5D(self, params, ie_device, precision, ir_version, temp_dir,
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use_new_frontend, use_old_api):
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self._test(*self.create_batch_to_space_net(**params),
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ie_device, precision, ir_version, temp_dir=temp_dir,
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use_new_frontend=use_new_frontend, use_old_api=use_old_api)
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