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[TFLite] Support for BATCH_MATMUL tflite operator#14423

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masahi merged 4 commits intoapache:mainfrom
neildhickey:enable_batchmatmul
Mar 30, 2023
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[TFLite] Support for BATCH_MATMUL tflite operator#14423
masahi merged 4 commits intoapache:mainfrom
neildhickey:enable_batchmatmul

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@neildhickey
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Adds support for BATCH_MATMUL operator in the TFLite frontend.

Adds a test that checks supported TFLite types.

Adds support for BATCH_MATMUL operator in the TFLite frontend.

Adds a test that checks supported TFLite types.
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tvm-bot commented Mar 29, 2023

Thanks for contributing to TVM! Please refer to the contributing guidelines https://tvm.apache.org/docs/contribute/ for useful information and tips. Please request code reviews from Reviewers by @-ing them in a comment.

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LGTM, thanks @neildhickey!

@masahi masahi merged commit 70399da into apache:main Mar 30, 2023
@neildhickey neildhickey deleted the enable_batchmatmul branch March 31, 2023 06:10
rank_diff = rank_a - rank_b
new_b_shape = _op.concatenate(
[
_expr.const([1] * rank_diff, dtype=_infer_type(b_shape).checked_type.dtype),
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the "b_shape" here is a mistake? should be "shape_b"?

rank_diff = rank_b - rank_a
new_a_shape = _op.concatenate(
[
_expr.const([1] * rank_diff, dtype=_infer_type(a_shape).checked_type.dtype),
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the "a_shape" here is a mistake? should be "shape_a"?

)
)
if not tvm.ir.structural_equal(shape_a, a_broadcasted_shape):
input_a = _op.transform.broadcast_to(a, a_broadcasted_shape)
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"a" is not define?

if not tvm.ir.structural_equal(shape_a, a_broadcasted_shape):
input_a = _op.transform.broadcast_to(a, a_broadcasted_shape)
if not tvm.ir.structural_equal(shape_b, b_broadcasted_shape):
input_b = _op.transform.broadcast_to(b, b_broadcasted_shape)
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"b" is not define

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5 participants