[TF FE] Refine tests for complex tensors support (openvinotoolkit#20905)

Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
akuporos · Nov 7, 2023 · 494a9cf · 494a9cf
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diff --git a/tests/layer_tests/tensorflow_tests/test_tf_ComplexFFT.py b/tests/layer_tests/tensorflow_tests/test_tf_ComplexFFT.py
@@ -182,7 +182,7 @@ def create_complex_irfft_net(self, input_shape, fft_length, irfft_op):
         dict(input_shape=[1, 3, 20, 40], fft_length=[20, 10], irfft_op=tf.raw_ops.IRFFT2D),
         dict(input_shape=[1, 3, 20, 40], fft_length=[10, 40], irfft_op=tf.raw_ops.IRFFT2D),
         pytest.param(dict(input_shape=[1, 10, 20, 30, 5], fft_length=[2, 3, 4], irfft_op=tf.raw_ops.IRFFT3D),
-                     marks=pytest.mark.xfail(reason="accuracy-issue-TBD"))
+                     marks=pytest.mark.xfail(reason="accuracy-issue-124452"))
     ]
 
     @pytest.mark.parametrize("params", test_data_basic)

diff --git a/tests/model_hub_tests/tf_hub_tests/precommit_models b/tests/model_hub_tests/tf_hub_tests/precommit_models
@@ -10,6 +10,8 @@ imagenet/mobilenet_v1_100_224/classification,https://tfhub.dev/google/imagenet/m
 magenta/arbitrary-image-stylization-v1-256,https://tfhub.dev/google/magenta/arbitrary-image-stylization-v1-256/2?tf-hub-format=compressed
 small_bert/bert_en_uncased_L-4_H-256_A-4,https://tfhub.dev/tensorflow/small_bert/bert_en_uncased_L-4_H-256_A-4/2?tf-hub-format=compressed
 movinet/a5/base/kinetics-600/classification,https://tfhub.dev/tensorflow/movinet/a5/base/kinetics-600/classification/3?tf-hub-format=compressed
+# model with complex tensors and FFT ops
+yamnet,https://tfhub.dev/google/yamnet/1?tf-hub-format=compressed,skip,124451
 # secure notebook models
 unet/industrial/class_1,https://tfhub.dev/nvidia/unet/industrial/class_1/1?tf-hub-format=compressed
 movenet/singlepose/thunder,https://tfhub.dev/google/movenet/singlepose/thunder/4?tf-hub-format=compressed