Roman Kazantsev
cb5377fb1d
* [TF FE] Correct ArgMinMax translators and add tests Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com> * Update tests/layer_tests/tensorflow_tests/test_tf_ArgMinMax.py --------- Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
59 lines
2.3 KiB
Python
59 lines
2.3 KiB
Python
# Copyright (C) 2022 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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import numpy as np
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import pytest
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import tensorflow as tf
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from common.tf_layer_test_class import CommonTFLayerTest
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# Testing operation ArgMin, ArgMax (Initial Implementation)
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# Documentation: https://www.tensorflow.org/api_docs/python/tf/raw_ops/ArgMin
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# https://www.tensorflow.org/api_docs/python/tf/raw_ops/ArgMax
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class TestArgMinMax(CommonTFLayerTest):
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def _prepare_input(self, inputs_info):
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assert 'input' in inputs_info
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input_shape = inputs_info['input']
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inputs_data = {}
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rng = np.random.default_rng()
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inputs_data['input'] = rng.integers(-8, 8, input_shape).astype(self.input_type)
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return inputs_data
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def create_argmin_max_net(self, input_shape, dimension, input_type, output_type, op_type):
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self.input_type = input_type
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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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tf_input = tf.compat.v1.placeholder(input_type, input_shape, 'input')
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tf_dimension = tf.constant(dimension)
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op_type(input=tf_input, dimension=tf_dimension, output_type=output_type)
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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_data = [
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dict(input_shape=[20], dimension=0),
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dict(input_shape=[20, 30], dimension=1),
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dict(input_shape=[2, 30, 3, 4], dimension=2),
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]
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@pytest.mark.parametrize("params", test_data)
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@pytest.mark.parametrize("input_type", [np.float32, np.int32])
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@pytest.mark.parametrize("output_type", [tf.int32, tf.int64])
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@pytest.mark.parametrize("op_type", [tf.raw_ops.ArgMax, tf.raw_ops.ArgMin])
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@pytest.mark.precommit_tf_fe
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@pytest.mark.nightly
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def test_argmin_max_net(self, params, input_type, output_type, op_type, 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_argmin_max_net(**params, input_type=input_type,
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output_type=output_type, op_type=op_type),
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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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