61 lines
2.9 KiB
Python
61 lines
2.9 KiB
Python
# Copyright (C) 2018-2023 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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class TestFakeQuantWithMinMaxVars(CommonTFLayerTest):
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def _prepare_input(self, inputs_info):
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# generate elements so that the input tensor may contain repeating elements
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assert 'inputs' in inputs_info, "Test error: inputs_info must contain `input`"
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inputs_shape = inputs_info['inputs']
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inputs_data = {}
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inputs_data['inputs'] = np.random.randint(-10, 10, inputs_shape).astype(np.float32)
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return inputs_data
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def create_fake_quant_with_min_max_vars_net(self, inputs_shape, min_value, max_value, num_bits, narrow_range,
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fake_quant_op):
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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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inputs = tf.compat.v1.placeholder(tf.float32, inputs_shape, 'inputs')
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min = tf.constant(min_value, dtype=tf.float32)
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max = tf.constant(max_value, dtype=tf.float32)
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fake_quant_op(inputs=inputs, min=min, max=max, num_bits=num_bits,
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narrow_range=narrow_range)
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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_basic = [
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# test FakeQuantWithMinMaxVars
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dict(inputs_shape=[2, 6, 4], min_value=-3, max_value=4, num_bits=None, narrow_range=None,
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fake_quant_op=tf.raw_ops.FakeQuantWithMinMaxVars),
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dict(inputs_shape=[3, 2, 1, 5], min_value=-4, max_value=5, num_bits=14, narrow_range=True,
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fake_quant_op=tf.raw_ops.FakeQuantWithMinMaxVars),
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dict(inputs_shape=[3, 2, 4], min_value=2, max_value=4, num_bits=10, narrow_range=False,
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fake_quant_op=tf.raw_ops.FakeQuantWithMinMaxVars),
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dict(inputs_shape=[1, 2, 3], min_value=-6, max_value=-3, num_bits=8, narrow_range=True,
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fake_quant_op=tf.raw_ops.FakeQuantWithMinMaxVars),
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# test FakeQuantWithMinMaxVarsPerChannel
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pytest.param(dict(inputs_shape=[2, 6, 4], min_value=[-4, -3, -5, -8], max_value=[4, 7, 9, 5], num_bits=None,
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narrow_range=None,
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fake_quant_op=tf.raw_ops.FakeQuantWithMinMaxVarsPerChannel),
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marks=pytest.mark.xfail(reason="104822"))
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]
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@pytest.mark.parametrize("params", test_basic)
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@pytest.mark.precommit_tf_fe
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@pytest.mark.nightly
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def test_fake_quant_with_min_max_vars_basic(self, params, ie_device, precision, ir_version, temp_dir,
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use_new_frontend,
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use_old_api):
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self._test(*self.create_fake_quant_with_min_max_vars_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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