56f2bc2f12
* Add support api 2.0 * Upd imports * Update onnx_tests * Upd tenserflow_tests * Fix test_split_concat.py * Fixed comparing
109 lines
6.3 KiB
Python
109 lines
6.3 KiB
Python
# Copyright (C) 2018-2022 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 TestStridedSlice(CommonTFLayerTest):
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@staticmethod
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def create_strided_slice_net(input_shape, begin, end, strides, begin_mask, end_mask,
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ellipsis_mask,
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new_axis_mask, shrink_axis_mask, ir_version, use_new_frontend):
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#
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# Create Tensorflow model
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#
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import tensorflow as tf
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tf.compat.v1.reset_default_graph()
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with tf.compat.v1.Session() as sess:
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input_node = tf.compat.v1.placeholder(tf.float32, input_shape, 'Input')
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strided_slice = tf.compat.v1.strided_slice(input_node, begin=begin, end=end,
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strides=strides,
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begin_mask=begin_mask, end_mask=end_mask,
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ellipsis_mask=ellipsis_mask,
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new_axis_mask=new_axis_mask,
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shrink_axis_mask=shrink_axis_mask)
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tf.compat.v1.global_variables_initializer()
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tf_net = sess.graph_def
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ref_net = None
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return tf_net, ref_net
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test_squeeze_data = [
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dict(input_shape=[1, 5], begin=[0, 0], end=[1, 5], strides=[1, 1], begin_mask=0,
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end_mask=0, ellipsis_mask=0, new_axis_mask=0, shrink_axis_mask=1),
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dict(input_shape=[5, 1], begin=[0, 0], end=[5, 1], strides=[1, 1], begin_mask=0,
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end_mask=0, ellipsis_mask=0, new_axis_mask=0, shrink_axis_mask=2),
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dict(input_shape=[1, 5, 3], begin=[0, 0, 0], end=[1, 5, 3], strides=[1, 1, 1], begin_mask=0,
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end_mask=0, ellipsis_mask=0, new_axis_mask=0, shrink_axis_mask=1),
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dict(input_shape=[1, 1, 3], begin=[0, 0, 0], end=[1, 1, 3], strides=[1, 1, 1], begin_mask=0,
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end_mask=0, ellipsis_mask=0, new_axis_mask=0, shrink_axis_mask=2),
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dict(input_shape=[1, 5, 1], begin=[0, 0, 0], end=[1, 5, 1], strides=[1, 1, 1], begin_mask=0,
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end_mask=0, ellipsis_mask=0, new_axis_mask=0, shrink_axis_mask=4),
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dict(input_shape=[1, 5, 5, 3], begin=[0, 0, 0, 0], end=[1, 5, 5, 3], strides=[1, 1, 1, 1],
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begin_mask=0,
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end_mask=0, ellipsis_mask=0, new_axis_mask=0, shrink_axis_mask=1),
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dict(input_shape=[1, 1, 5, 3], begin=[0, 0, 0, 0], end=[1, 1, 5, 3], strides=[1, 1, 1, 1],
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begin_mask=0,
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end_mask=0, ellipsis_mask=0, new_axis_mask=0, shrink_axis_mask=2),
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dict(input_shape=[1, 5, 1, 3], begin=[0, 0, 0, 0], end=[1, 5, 1, 3], strides=[1, 1, 1, 1],
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begin_mask=0,
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end_mask=0, ellipsis_mask=0, new_axis_mask=0, shrink_axis_mask=4),
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dict(input_shape=[1, 5, 5, 1], begin=[0, 0, 0, 0], end=[1, 5, 1, 1], strides=[1, 1, 1, 1],
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begin_mask=0,
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end_mask=0, ellipsis_mask=0, new_axis_mask=0, shrink_axis_mask=8),
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dict(input_shape=[1, 1, 5, 5, 3], begin=[0, 0, 0, 0, 0], end=[1, 1, 5, 5, 3],
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strides=[1, 1, 1, 1, 1],
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begin_mask=0, end_mask=0, ellipsis_mask=0, new_axis_mask=0, shrink_axis_mask=3),
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dict(input_shape=[1, 5, 1, 5, 3], begin=[0, 0, 0, 0, 0], end=[1, 5, 1, 5, 3],
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strides=[1, 1, 1, 1, 1],
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begin_mask=0, end_mask=0, ellipsis_mask=0, new_axis_mask=0, shrink_axis_mask=5),
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dict(input_shape=[1, 5, 1, 5, 1], begin=[0, 0, 0, 0, 0], end=[1, 5, 1, 5, 1],
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strides=[1, 1, 1, 1, 1],
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begin_mask=0, end_mask=0, ellipsis_mask=0, new_axis_mask=0, shrink_axis_mask=21),
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]
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@pytest.mark.parametrize('params', test_squeeze_data)
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@pytest.mark.nightly
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def test_strided_slice_replace_with_squeeze(self, params, ie_device, precision, ir_version,
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temp_dir, use_new_frontend, api_2):
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self._test(*self.create_strided_slice_net(**params, ir_version=ir_version,
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use_new_frontend=use_new_frontend),
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ie_device, precision, ir_version, temp_dir=temp_dir,
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use_new_frontend=use_new_frontend, api_2=api_2)
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test_unsqueeze_data = [
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dict(input_shape=[1, 5], begin=[0, 0], end=[1, 5], strides=[1, 1], begin_mask=0,
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end_mask=0, ellipsis_mask=0, new_axis_mask=1, shrink_axis_mask=0),
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dict(input_shape=[1, 5], begin=[0, 0], end=[1, 5], strides=[1, 1], begin_mask=0,
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end_mask=0, ellipsis_mask=0, new_axis_mask=3, shrink_axis_mask=0),
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dict(input_shape=[1, 5, 3], begin=[0, 0, 0], end=[1, 5, 3], strides=[1, 1, 1], begin_mask=0,
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end_mask=0, ellipsis_mask=0, new_axis_mask=3, shrink_axis_mask=0),
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dict(input_shape=[1, 5, 3], begin=[0, 0, 0], end=[1, 5, 3], strides=[1, 1, 1], begin_mask=0,
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end_mask=0, ellipsis_mask=0, new_axis_mask=4, shrink_axis_mask=0),
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dict(input_shape=[1, 5, 3], begin=[0, 0, 0], end=[1, 5, 3], strides=[1, 1, 1], begin_mask=0,
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end_mask=0, ellipsis_mask=0, new_axis_mask=5, shrink_axis_mask=0),
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dict(input_shape=[1, 5, 5, 3], begin=[0, 0, 0, 0], end=[1, 5, 5, 3], strides=[1, 1, 1, 1],
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begin_mask=0,
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end_mask=0, ellipsis_mask=0, new_axis_mask=8, shrink_axis_mask=0),
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dict(input_shape=[1, 5, 5, 3], begin=[0, 0, 0, 0], end=[1, 5, 5, 3], strides=[1, 1, 1, 1],
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begin_mask=0,
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end_mask=0, ellipsis_mask=0, new_axis_mask=4, shrink_axis_mask=0),
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dict(input_shape=[1, 5, 5, 3], begin=[0, 0, 0, 0], end=[1, 5, 5, 3], strides=[1, 1, 1, 1],
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begin_mask=0,
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end_mask=0, ellipsis_mask=0, new_axis_mask=2, shrink_axis_mask=0),
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]
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@pytest.mark.parametrize('params', test_unsqueeze_data)
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@pytest.mark.nightly
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def test_strided_slice_replace_with_unsqueeze(self, params, ie_device, precision, ir_version,
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temp_dir, use_new_frontend, api_2):
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self._test(*self.create_strided_slice_net(**params, ir_version=ir_version,
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use_new_frontend=use_new_frontend),
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ie_device, precision, ir_version, temp_dir=temp_dir,
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use_new_frontend=use_new_frontend, api_2=api_2)
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