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[TF FE] Xfail Mod and FloorDiv tests and correct Conv3D test (#24126) 

**Details:** Xfail Mod and FloorDiv tests due to sporadic inference
mismatch results. Correct Conv3D test to decrease workload to pass
timeout.

**Tickets:** 138904, 138713

Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
This commit is contained in:
Roman Kazantsev 2024-04-19 18:49:09 +04:00 committed by GitHub
parent f2bd4d36bd
commit a6d64cf3e1
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GPG Key ID: B5690EEEBB952194
2 changed files with 9 additions and 9 deletions
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14
tests/layer_tests/tensorflow2_keras_tests/test_tf2_keras_conv_3d.py
View File

@ -34,25 +34,25 @@ class TestKerasConv3D(CommonTF2LayerTest):
return tf2_net, ref_net
test_data_float32 = [
dict(conv_params=dict(filters=27, kernel_size=3, padding="valid", strides=(2, 2, 2)),
dict(conv_params=dict(filters=7, kernel_size=3, padding="valid", strides=(2, 2, 2)),
input_names=["x"], input_shapes=[[5, 3, 5, 7, 6]], input_type=tf.float32),
dict(conv_params=dict(filters=10, kernel_size=5, padding="same", strides=(3, 3, 3),
dict(conv_params=dict(filters=5, kernel_size=5, padding="same", strides=(3, 3, 3),
activation="relu", use_bias=True), input_names=["x"],
input_shapes=[[5, 3, 5, 7, 8]], input_type=tf.float32),
dict(conv_params=dict(filters=10, kernel_size=5, padding="same", strides=(3, 3, 3)),
dict(conv_params=dict(filters=5, kernel_size=5, padding="same", strides=(3, 3, 3)),
input_names=["x"],
input_shapes=[[5, 3, 5, 7, 8]], input_type=tf.float32),
dict(conv_params=dict(filters=27, kernel_size=3, padding="valid", dilation_rate=3),
dict(conv_params=dict(filters=7, kernel_size=3, padding="valid", dilation_rate=3),
input_names=["x"],
input_shapes=[[5, 8, 9, 7, 6]], input_type=tf.float32),
dict(conv_params=dict(filters=10, kernel_size=5, padding="same", dilation_rate=4),
dict(conv_params=dict(filters=5, kernel_size=5, padding="same", dilation_rate=4),
input_names=["x"],
input_shapes=[[5, 3, 9, 7, 8]], input_type=tf.float32),
dict(conv_params=dict(filters=27, kernel_size=3, padding="valid",
dict(conv_params=dict(filters=7, kernel_size=3, padding="valid",
dilation_rate=3, activation="sigmoid", use_bias=False),
input_names=["x"],
input_shapes=[[5, 8, 9, 7, 6]], input_type=tf.float32),
dict(conv_params=dict(filters=10, kernel_size=5, padding="same", dilation_rate=4,
dict(conv_params=dict(filters=5, kernel_size=5, padding="same", dilation_rate=4,
use_bias=True),
input_names=["x"], input_shapes=[[5, 3, 9, 7, 8]], input_type=tf.float32)
]

4
tests/layer_tests/tensorflow_tests/test_tf_BinaryOps.py
View File

@ -112,7 +112,7 @@ class TestBinaryOps(CommonTFLayerTest):
pytest.skip("Bitwise and Xdivy ops are supported only by new TF FE.")
if op_type in ['BitwiseAnd', 'BitwiseOr', 'BitwiseXor', 'Pow', 'Mod'] and ie_device == 'GPU':
pytest.skip("GPU does not support Bitwise ops. For Mod and Pow it has inference mismatch")
if op_type in ['Mod', 'FloorDiv'] and platform.machine() == 'arm64':
pytest.skip("Arm64 has inference mismatch for Mod and FloorDiv")
if op_type in ['Mod', 'FloorDiv']:
pytest.skip("Inference mismatch for Mod and FloorDiv")
self._test(*self.create_add_placeholder_const_net(x_shape=x_shape, y_shape=y_shape, op_type=op_type), ie_device,
precision, ir_version, temp_dir=temp_dir, use_legacy_frontend=use_legacy_frontend)