inadob commented on a change in pull request #4518: [Bugfix][Frontend][TF] Fix
incorrect calculations in tf SLICE
URL: https://github.com/apache/incubator-tvm/pull/4518#discussion_r357976150
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File path: tests/python/frontend/tensorflow/test_forward.py
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@@ -2209,14 +2209,14 @@ def _test_forward_slice_operation_input(input_value,
begin_value, size_value):
with tf.Graph().as_default():
input_tensor = tf.placeholder(
shape=input_data.shape, dtype=input_data.dtype, name="input")
- begin_tensor = tf.expand_dims(begin_value, axis=0)
- size_tensor = tf.expand_dims(size_value, axis=0)
- slice_tensor = tf.slice(input_tensor, begin_tensor, size_tensor,
name='slice_output')
+ tf.slice(input_tensor, begin_value, size_value, name='slice_output')
compare_tf_with_tvm([input_data], ['input:0'], 'slice_output:0')
def test_forward_slice():
- _test_forward_slice_operation_input([1, 1], 0, 2)
+ _test_forward_slice_operation_input([1, 1], [0], [2])
Review comment:
Well, in the TF documentation is said that tf.slice() arguments **begin** &
**size** both should be tensors. I am aware that the scalars are 0D tensors
but if the TF function, in general, doesn't accept scalars, then form my point
of view, it doesn't make sense to test something that is not supposed to work
like this.
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