Search graph for quantization parameters #6690
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/6690
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 9ea1837 with merge base 793f17e ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Generalizes the search for quantization parameters.
The idea is to make a graph like this a valid quantized graph:
dq -> view -> transpose -> some_op
^
/
dq ------> expand -------/
For a subset of operations 'passable_op' it is is allowed to "pass
through" the op when searching for qparams. If multiple qparams
are encounterd in one search, they are asserted to be equal.
Signed-off-by: Erik Lundell <erik.lundell@arm.com>
Change-Id: I6dbb82fb39164c246ea74b9642d907dba22ab2c3
Signed-off-by: Erik Lundell <erik.lundell@arm.com> Change-Id: I4feb4b5c6d269d7c0ff4312c17fec52da413fa5a
Signed-off-by: Erik Lundell <erik.lundell@arm.com> Change-Id: If415a5ee3185c3401069652906a0633491bca1b0
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freddan80
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(This change was merged but had to be reverted due to type checking errors, see #6452)
Generalizes the search for quantization parameters. The idea is to make a graph like this (part of) a valid quantized graph:
dq -> view -> transpose -> some_op
dq ------> expand -----------/^
For a subset of operations 'passable_op' that don't modify the values of the tensors it is is allowed to "pass through" the op when searching for qparams. If multiple qparams are encounterd in one search, they are asserted to be equal.
The reason for this is to unify what a quantized graph looks like, removing the need for some ad hoc exceptions (for example checking if a view is before an addmm etc.) that were in place before and in general cleaning up the handling of quantization in the ArmBackend. In particular, some decompositions in the to_edge step seem to not insert q/ dq ops which breaks the pattern of dq -> op -> q.
With this change, Arm internal passes can also in some cases skip inserting quantize ops, simplifying the passes.