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c2a14b8
Improve UT Coverage for TF 3x
zehao-intel Jun 6, 2024
40a1e2e
fix depthconv and sepconv
zehao-intel Jun 6, 2024
1cd24d2
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Jun 6, 2024
eea3029
set qdq instancenorm as no cover
zehao-intel Jun 6, 2024
d1802b0
Merge branch 'zehao/utc' of https://github.com/intel/neural-compresso…
zehao-intel Jun 6, 2024
09ee46c
fix test keras layers
zehao-intel Jun 6, 2024
1f4996b
fix test keras layers
zehao-intel Jun 6, 2024
42076c7
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Jun 6, 2024
42ed3c8
fix test keras layer
zehao-intel Jun 6, 2024
84db7fd
fix tf.py
zehao-intel Jun 6, 2024
85d477a
remove set_tensor ut
zehao-intel Jun 6, 2024
148752f
imporve keras layer and kl algo
zehao-intel Jun 6, 2024
917f192
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Jun 6, 2024
f457216
update graph_converter
zehao-intel Jun 7, 2024
1edcc0c
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Jun 7, 2024
8744714
Merge branch 'master' into zehao/utc
chensuyue Jun 12, 2024
5e43c59
collect tf new API coverage
chensuyue Jun 12, 2024
0a5003e
add pt omit path
chensuyue Jun 12, 2024
b3257cf
fix the issue
chensuyue Jun 12, 2024
90d4012
use sv param
zehao-intel Jun 13, 2024
c048cd8
run single case for pytest
chensuyue Jun 13, 2024
4a8152d
update test status show case
chensuyue Jun 13, 2024
dd7a4b5
add comments
chensuyue Jun 13, 2024
12f8628
for debug
chensuyue Jun 13, 2024
e38ae03
for test
chensuyue Jun 13, 2024
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[pre-commit.ci] auto fixes from pre-commit.com hooks
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pre-commit-ci[bot] committed Jun 6, 2024
commit 42076c793d47cdb00e1b5ec2628fc4ed86afb042
6 changes: 3 additions & 3 deletions test/3x/tensorflow/keras/test_layers.py
Original file line number Diff line number Diff line change
Expand Up @@ -47,7 +47,7 @@ def build_model1():
[
keras.layers.InputLayer(input_shape=(28, 28)),
keras.layers.Reshape(target_shape=(28, 28, 1)),
keras.layers.DepthwiseConv2D(3, 3, activation='relu', name="conv2d"),
keras.layers.DepthwiseConv2D(3, 3, activation="relu", name="conv2d"),
keras.layers.MaxPooling2D(pool_size=(2, 2)),
keras.layers.Flatten(),
keras.layers.Dense(10, name="dense"),
Expand All @@ -73,6 +73,7 @@ def build_model1():
else:
model.save("baseline_model1")


def build_model2():
# Load MNIST dataset
mnist = keras.datasets.mnist
Expand All @@ -91,7 +92,7 @@ def build_model2():
[
keras.layers.InputLayer(input_shape=(28, 28)),
keras.layers.Reshape(target_shape=(28, 28, 1)),
keras.layers.SeparableConv2D(3, 4, 3, 2, activation='relu'),
keras.layers.SeparableConv2D(3, 4, 3, 2, activation="relu"),
keras.layers.MaxPooling2D(pool_size=(2, 2)),
keras.layers.Flatten(),
keras.layers.Dense(10, name="dense"),
Expand Down Expand Up @@ -208,6 +209,5 @@ def test_seprable_conv2d(self):
break



if __name__ == "__main__":
unittest.main()