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Cast input argument of tf.slice to int32 in unit test #369

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Feb 3, 2020
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Cast input argument of tf.slice to int32 in unit test #369

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4 changes: 2 additions & 2 deletions tests/test_layers.py
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Original file line number Diff line number Diff line change
Expand Up @@ -449,7 +449,7 @@ def test_tf_slice(self):
return

def my_func_1(x):
return tf.slice(x[0], x[1][0], [3, 1, 1, 2])
return tf.slice(x[0], tf.cast(x[1][0], tf.int32), [3, 1, 1, 2])

input1 = Input(shape=(2, 3, 5), name='inputs')
input2 = Input(shape=(4,), dtype=tf.int32, name='begin')
Expand All @@ -462,7 +462,7 @@ def my_func_1(x):
self.assertTrue(run_onnx_runtime('onnx_tf_slice', onnx_model, {"inputs": data1, 'begin': data2}, expected, self.model_files))

def my_func_2(x):
return tf.slice(x[0], [0, 1, 0, 2], x[1][0])
return tf.slice(x[0], [0, 1, 0, 2], tf.cast(x[1][0], tf.int32))

input1 = Input(shape=(2, 3, 5), name='inputs')
input2 = Input(shape=(4,), dtype=tf.int32, name='size')
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