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Add input_shape metric to jagged_sum operator #2313

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jananisriram
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Summary: Add new metric to jagged_sum that denotes the 0th and 2nd input dimensions, B and M, in the form (B, '*', M), where the nested tensor has logical dimensions (B, *, M). Display this metric once per x value using the x_only = True argument to register_metric(). This diff will make TritonBench's benchmark table more readable by denoting the nested tensor dimensions used per benchmark row.

Reviewed By: jbschlosser

Differential Revision: D58535619

Summary: Add new metric to `jagged_sum` that denotes the 0th and 2nd input dimensions, `B` and `M`, in the form `(B, '*', M)`, where the nested tensor has logical dimensions `(B, *, M)`. Display this metric once per `x` value using the `x_only = True` argument to `register_metric()`. This diff will make TritonBench's benchmark table more readable by denoting the nested tensor dimensions used per benchmark row.

Reviewed By: jbschlosser

Differential Revision: D58535619
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This pull request was exported from Phabricator. Differential Revision: D58535619

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This pull request has been merged in 5f6633d.

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