Ivan Tikhonov
00c7da0f5f
* Revert submodule changes * Fix build on Win * Fix precommit: set correct shapes for broadcasting; disable check with ref for use_new_frontend mode * fix precommit * Fix precommits * Temporary skip new tests on GPU with FP16 * Resolve review comments, trigger CI * Resolve review comments * Resolve review comments
106 lines
4.4 KiB
Python
106 lines
4.4 KiB
Python
# Copyright (C) 2018-2021 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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from common.utils.tf_utils import permute_nchw_to_nhwc
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class TestConcat(CommonTFLayerTest):
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def create_concat_net(self, shape, axis, ir_version, use_new_frontend):
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"""
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Tensorflow net IR net
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Input->Concat => Input->Concat
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"""
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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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# Create the graph and model
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with tf.compat.v1.Session() as sess:
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ax = axis
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tf_x_shape = shape.copy()
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tf_x_shape = permute_nchw_to_nhwc(tf_x_shape, use_new_frontend)
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# TODO: add concat with const inputs to check fusing (as in ONNX)
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x = tf.compat.v1.placeholder(tf.float32, tf_x_shape, 'Input')
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y = tf.compat.v1.placeholder(tf.float32, tf_x_shape, 'Input') # Input_1 in graph_def
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concat = tf.concat([x, y], axis=ax, name='Operation')
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concat_shape = concat.shape.as_list()
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tf.compat.v1.global_variables_initializer()
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tf_net = sess.graph_def
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#
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# Create reference IR net
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# Please, specify 'type': 'Input' for input node
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# Moreover, do not forget to validate ALL layer attributes!!!
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#
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ref_net = None
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return tf_net, ref_net
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# TODO: create tests for concat with 1 input and multiple inputs
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test_data_1D = [dict(shape=[1], axis=0),
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dict(shape=[1], axis=-1)]
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@pytest.mark.parametrize("params", test_data_1D)
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@pytest.mark.nightly
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def test_concat_1D(self, params, ie_device, precision, ir_version, temp_dir, use_new_frontend):
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self._test(*self.create_concat_net(**params, ir_version=ir_version, use_new_frontend=use_new_frontend),
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ie_device, precision, ir_version, temp_dir=temp_dir, use_new_frontend=use_new_frontend)
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test_data_2D = [dict(shape=[1, 224], axis=0),
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dict(shape=[1, 224], axis=-1)]
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@pytest.mark.parametrize("params", test_data_2D)
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@pytest.mark.nightly
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def test_concat_2D(self, params, ie_device, precision, ir_version, temp_dir, use_new_frontend):
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self._test(*self.create_concat_net(**params, ir_version=ir_version, use_new_frontend=use_new_frontend),
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ie_device, precision, ir_version, temp_dir=temp_dir, use_new_frontend=use_new_frontend)
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test_data_3D = [pytest.param(dict(shape=[1, 3, 224], axis=0), marks=pytest.mark.xfail(reason="*-19053")),
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pytest.param(dict(shape=[1, 3, 224], axis=-1), marks=pytest.mark.xfail(reason="*-19053")),
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pytest.param(dict(shape=[1, 3, 224], axis=2), marks=pytest.mark.xfail(reason="*-19053"))]
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@pytest.mark.parametrize("params", test_data_3D)
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@pytest.mark.nightly
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def test_concat_3D(self, params, ie_device, precision, ir_version, temp_dir, use_new_frontend):
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self._test(*self.create_concat_net(**params, ir_version=ir_version, use_new_frontend=use_new_frontend),
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ie_device, precision, ir_version, temp_dir=temp_dir, use_new_frontend=use_new_frontend)
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test_data_4D = [dict(shape=[1, 3, 100, 224], axis=0),
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dict(shape=[1, 3, 100, 224], axis=-1),
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dict(shape=[1, 3, 100, 224], axis=2)]
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@pytest.mark.parametrize("params", test_data_4D)
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@pytest.mark.nightly
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@pytest.mark.precommit
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def test_concat_4D(self, params, ie_device, precision, ir_version, temp_dir, use_new_frontend):
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self._test(*self.create_concat_net(**params, ir_version=ir_version, use_new_frontend=use_new_frontend),
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ie_device, precision, ir_version, temp_dir=temp_dir, use_new_frontend=use_new_frontend)
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test_data_5D = [dict(shape=[1, 3, 50, 100, 224], axis=0),
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dict(shape=[1, 3, 50, 100, 224], axis=-1),
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dict(shape=[1, 3, 50, 100, 224], axis=2)]
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@pytest.mark.parametrize("params", test_data_5D)
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@pytest.mark.nightly
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def test_concat_5D(self, params, ie_device, precision, ir_version, temp_dir, use_new_frontend):
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self._test(*self.create_concat_net(**params, ir_version=ir_version, use_new_frontend=use_new_frontend),
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ie_device, precision, ir_version, temp_dir=temp_dir, use_new_frontend=use_new_frontend)
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