From 36c18e29a8ae44a8acb90b28a1df7b3e74f8fbb6 Mon Sep 17 00:00:00 2001 From: Georgy Krivoruchko Date: Wed, 15 Mar 2023 12:18:29 +0400 Subject: [PATCH] [TF FE] Added Tensorflow CTCLoss layer test (#13644) Co-authored-by: Roman Kazantsev --- .../tensorflow_common/src/op/ctc_loss.cpp | 6 +- .../tensorflow_tests/test_tf_CTCLoss.py | 65 +++++++++++++++++++ 2 files changed, 68 insertions(+), 3 deletions(-) create mode 100644 tests/layer_tests/tensorflow_tests/test_tf_CTCLoss.py diff --git a/src/frontends/tensorflow_common/src/op/ctc_loss.cpp b/src/frontends/tensorflow_common/src/op/ctc_loss.cpp index 0c7bab96065..223fe36c087 100644 --- a/src/frontends/tensorflow_common/src/op/ctc_loss.cpp +++ b/src/frontends/tensorflow_common/src/op/ctc_loss.cpp @@ -47,9 +47,9 @@ OutputVector translate_ctc_loss_op(const NodeContext& node) { auto logits_shape = make_shared(logits, ov::element::i64); auto dense_shape = make_shared(logits_shape, - make_shared(ov::element::i64, ov::Shape{}, 0), - make_shared(ov::element::i64, ov::Shape{}, 2), - make_shared(ov::element::i64, ov::Shape{}, 1)); + make_shared(ov::element::i64, ov::Shape{1}, 0), + make_shared(ov::element::i64, ov::Shape{1}, 2), + make_shared(ov::element::i64, ov::Shape{1}, 1)); auto minus_one_value = make_shared(decoded_values.get_element_type(), ov::Shape{}, -1); auto init_decoded_values = make_shared(minus_one_value, dense_shape); auto decoded_values_dense = make_shared(init_decoded_values, decoded_indices, decoded_values); diff --git a/tests/layer_tests/tensorflow_tests/test_tf_CTCLoss.py b/tests/layer_tests/tensorflow_tests/test_tf_CTCLoss.py new file mode 100644 index 00000000000..4f3cacb8369 --- /dev/null +++ b/tests/layer_tests/tensorflow_tests/test_tf_CTCLoss.py @@ -0,0 +1,65 @@ +# Copyright (C) 2023 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +import pytest + +from common.tf_layer_test_class import CommonTFLayerTest + +import numpy as np +import tensorflow as tf + +# Testing operation CTCLoss +# Documentation: https://www.tensorflow.org/api_docs/python/tf/raw_ops/CTCLoss + +class TestCTCLoss(CommonTFLayerTest): + def _prepare_input(self, inputs_dict): + for input in inputs_dict.keys(): + inputs_dict[input] = np.random.randint(0, 5, inputs_dict[input]).astype(np.float32) + return inputs_dict + + def create_ctcloss_placeholder_const_net(self, inputs, targets, ir_version, use_new_frontend): + """ + Tensorflow net IR net + + Placeholder->CTCLoss => Placeholder->Transpose->Convolution->Transpose #Need to replace by actual + + """ + seq_lens = np.array([inputs[2]], dtype=np.int32) + x = [targets] + + indices = [] + vals = [] + for idx, batch in enumerate(x): + for time, value in enumerate(batch): + indices.append([idx, time]) + vals.append(value) + + tf.compat.v1.reset_default_graph() + + # Create the graph and model + with tf.compat.v1.Session() as sess: + tf_inputs = tf.compat.v1.placeholder(tf.float32, inputs, "inputs") + + tf.raw_ops.CTCLoss(inputs = tf_inputs, labels_indices = indices, labels_values = vals, sequence_length = seq_lens) + + tf.compat.v1.global_variables_initializer() + tf_net = sess.graph_def + + ref_net = None + + return tf_net, ref_net + + # Reference values were copied from https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/kernel_tests/nn_ops/ctc_loss_op_test.py + test_data = [ + dict(inputs=[6,1,6], targets = [0, 1, 2, 1, 0]), + dict(inputs=[12,1,9], targets = [0, 1, 1, 0]) + ] + + @pytest.mark.parametrize("params", test_data) + @pytest.mark.nightly + def test_ctcloss_placeholder_const(self, params, ie_device, precision, ir_version, temp_dir, + use_new_frontend, use_old_api): + self._test(*self.create_ctcloss_placeholder_const_net(**params, ir_version=ir_version, + use_new_frontend=use_new_frontend), + ie_device, precision, ir_version, temp_dir=temp_dir, + use_new_frontend=use_new_frontend, use_old_api=use_old_api)