66 lines
2.4 KiB
Python
66 lines
2.4 KiB
Python
# Copyright (C) 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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import numpy as np
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import tensorflow as tf
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# Testing operation CTCLoss
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# Documentation: https://www.tensorflow.org/api_docs/python/tf/raw_ops/CTCLoss
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class TestCTCLoss(CommonTFLayerTest):
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def _prepare_input(self, inputs_dict):
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for input in inputs_dict.keys():
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inputs_dict[input] = np.random.randint(0, 5, inputs_dict[input]).astype(np.float32)
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return inputs_dict
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def create_ctcloss_placeholder_const_net(self, inputs, targets, ir_version, use_new_frontend):
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"""
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Tensorflow net IR net
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Placeholder->CTCLoss => Placeholder->Transpose->Convolution->Transpose #Need to replace by actual
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"""
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seq_lens = np.array([inputs[2]], dtype=np.int32)
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x = [targets]
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indices = []
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vals = []
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for idx, batch in enumerate(x):
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for time, value in enumerate(batch):
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indices.append([idx, time])
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vals.append(value)
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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_inputs = tf.compat.v1.placeholder(tf.float32, inputs, "inputs")
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tf.raw_ops.CTCLoss(inputs = tf_inputs, labels_indices = indices, labels_values = vals, sequence_length = seq_lens)
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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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# Reference values were copied from https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/kernel_tests/nn_ops/ctc_loss_op_test.py
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test_data = [
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dict(inputs=[6,1,6], targets = [0, 1, 2, 1, 0]),
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dict(inputs=[12,1,9], targets = [0, 1, 1, 0])
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]
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@pytest.mark.parametrize("params", test_data)
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@pytest.mark.nightly
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def test_ctcloss_placeholder_const(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_ctcloss_placeholder_const_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, use_old_api=use_old_api)
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