[TFLite] Support for BATCH_MATMUL tflite operator #14423
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Adds support for BATCH_MATMUL operator in the TFLite frontend. Adds a test that checks supported TFLite types.
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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. Generated by tvm-bot |
leandron
approved these changes
Mar 30, 2023
xiaosibai
reviewed
Apr 10, 2023
| rank_diff = rank_a - rank_b | ||
| new_b_shape = _op.concatenate( | ||
| [ | ||
| _expr.const([1] * rank_diff, dtype=_infer_type(b_shape).checked_type.dtype), |
There was a problem hiding this comment.
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), |
There was a problem hiding this comment.
the "a_shape" here is a mistake? should be "shape_a"?
xiaosibai
reviewed
Apr 10, 2023
| ) | ||
| ) | ||
| 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_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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Adds support for BATCH_MATMUL operator in the TFLite frontend.
Adds a test that checks supported TFLite types.