[TFLite] Strided slice handling of shrink_axis_mask improved #6998
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1. Added removal of dimensions if result is a scalar
to mimic TensorFlow behaviour. E.g.:
tf.strided_slice([1,2,3], [0], [1], [1], shrink_axis_mask=0)
<tf.Tensor: shape=(1,), dtype=int32, numpy=array([1], dtype=int32)>
tf.strided_slice([[[1,2,3],[4,5,6],[7,8,9]]], [0, 0, 0], [3, 3, 3], [1, 1, 1], shrink_axis_mask=7)
<tf.Tensor: shape=(), dtype=int32, numpy=1>
2. Added extra check to assert_allclose to check shape equalities
as np.testing.assert_allclose() does not distinguish between cases like:
np.testing.assert_allclose(1, np.array(1))
np.testing.assert_allclose(1, np.array([1]))
np.testing.assert_allclose(np.array(1), np.array([1]))
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Ping. How can we make some progress here? |
I'm not familiar with TFLite frontend. cc @siju-samuel @FrozenGene |
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bump cc @siju-samuel @FrozenGene |
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How can we make a progress here? |
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@d-smirnov I will review it today, thanks! |
FrozenGene
approved these changes
Jan 16, 2021
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please fix ci problem |
FrozenGene
reviewed
Jan 20, 2021
alexwong
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Feb 11, 2021
…6998) * [TFLite] Strided slice handlig of shrink_axis_mask improved 1. Added removal of dimensions if result is a scalar to mimic TensorFlow behaviour. E.g.: tf.strided_slice([1,2,3], [0], [1], [1], shrink_axis_mask=0) <tf.Tensor: shape=(1,), dtype=int32, numpy=array([1], dtype=int32)> tf.strided_slice([[[1,2,3],[4,5,6],[7,8,9]]], [0, 0, 0], [3, 3, 3], [1, 1, 1], shrink_axis_mask=7) <tf.Tensor: shape=(), dtype=int32, numpy=1> 2. Added extra check to assert_allclose to check shape equalities as np.testing.assert_allclose() does not distinguish between cases like: np.testing.assert_allclose(1, np.array(1)) np.testing.assert_allclose(1, np.array([1])) np.testing.assert_allclose(np.array(1), np.array([1])) * unit tests fixed
electriclilies
pushed a commit
to electriclilies/tvm
that referenced
this pull request
Feb 18, 2021
…6998) * [TFLite] Strided slice handlig of shrink_axis_mask improved 1. Added removal of dimensions if result is a scalar to mimic TensorFlow behaviour. E.g.: tf.strided_slice([1,2,3], [0], [1], [1], shrink_axis_mask=0) <tf.Tensor: shape=(1,), dtype=int32, numpy=array([1], dtype=int32)> tf.strided_slice([[[1,2,3],[4,5,6],[7,8,9]]], [0, 0, 0], [3, 3, 3], [1, 1, 1], shrink_axis_mask=7) <tf.Tensor: shape=(), dtype=int32, numpy=1> 2. Added extra check to assert_allclose to check shape equalities as np.testing.assert_allclose() does not distinguish between cases like: np.testing.assert_allclose(1, np.array(1)) np.testing.assert_allclose(1, np.array([1])) np.testing.assert_allclose(np.array(1), np.array([1])) * unit tests fixed
Lokiiiiii
pushed a commit
to Lokiiiiii/tvm
that referenced
this pull request
Mar 2, 2021
…6998) * [TFLite] Strided slice handlig of shrink_axis_mask improved 1. Added removal of dimensions if result is a scalar to mimic TensorFlow behaviour. E.g.: tf.strided_slice([1,2,3], [0], [1], [1], shrink_axis_mask=0) <tf.Tensor: shape=(1,), dtype=int32, numpy=array([1], dtype=int32)> tf.strided_slice([[[1,2,3],[4,5,6],[7,8,9]]], [0, 0, 0], [3, 3, 3], [1, 1, 1], shrink_axis_mask=7) <tf.Tensor: shape=(), dtype=int32, numpy=1> 2. Added extra check to assert_allclose to check shape equalities as np.testing.assert_allclose() does not distinguish between cases like: np.testing.assert_allclose(1, np.array(1)) np.testing.assert_allclose(1, np.array([1])) np.testing.assert_allclose(np.array(1), np.array([1])) * unit tests fixed
trevor-m
pushed a commit
to neo-ai/tvm
that referenced
this pull request
Mar 2, 2021
…6998) * [TFLite] Strided slice handlig of shrink_axis_mask improved 1. Added removal of dimensions if result is a scalar to mimic TensorFlow behaviour. E.g.: tf.strided_slice([1,2,3], [0], [1], [1], shrink_axis_mask=0) <tf.Tensor: shape=(1,), dtype=int32, numpy=array([1], dtype=int32)> tf.strided_slice([[[1,2,3],[4,5,6],[7,8,9]]], [0, 0, 0], [3, 3, 3], [1, 1, 1], shrink_axis_mask=7) <tf.Tensor: shape=(), dtype=int32, numpy=1> 2. Added extra check to assert_allclose to check shape equalities as np.testing.assert_allclose() does not distinguish between cases like: np.testing.assert_allclose(1, np.array(1)) np.testing.assert_allclose(1, np.array([1])) np.testing.assert_allclose(np.array(1), np.array([1])) * unit tests fixed
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Added removal of dimensions if result is a scalar
to mimic TensorFlow behaviour. E.g.:
tf.strided_slice([1,2,3], [0], [1], [1], shrink_axis_mask=0)
<tf.Tensor: shape=(1,), dtype=int32, numpy=array([1], dtype=int32)>
tf.strided_slice([[[1,2,3],[4,5,6],[7,8,9]]], [0, 0, 0], [3, 3, 3], [1, 1, 1], shrink_axis_mask=7)
<tf.Tensor: shape=(), dtype=int32, numpy=1>
Added extra check to assert_allclose to check shape equalities
as np.testing.assert_allclose() does not distinguish between cases like:
np.testing.assert_allclose(1, np.array(1))
np.testing.assert_allclose(1, np.array([1]))
np.testing.assert_allclose(np.array(1), np.array([1]))