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| author | Fredrik Svedberg <fredrik.svedberg@arm.com> | 2023-04-11 22:35:04 +0200 |
|---|---|---|
| committer | Fredrik Svedberg <fredrik.svedberg@arm.com> | 2023-04-17 14:16:44 +0200 |
| commit | 0ac0804e76e098695ee2b8a9e24e2f0a1efc324f (patch) | |
| tree | 9ccb766221987a415244079ed6c596a47d693b20 /ethosu/vela/live_range.py | |
| parent | c1ad80b3a581dd39b39a112d6c2026f6560207a4 (diff) | |
| download | ethos-u-vela-0ac0804e76e098695ee2b8a9e24e2f0a1efc324f.tar.gz | |
MLBEDSW-7196 Add LSTM support
Added int8 and int16 UNIDIRECTIONAL_SEQUENCE_LSTM support.
The implementation does not include support for:
* CIFG
* Peephole
* Projection
* Normalisation
This change also:
* Removed unused Op.BlockLSTM operation type.
* Removed the only one consumer limitation on putting the SplitSliceRead
on the tensor consumer(s), if all consumers fullfills the requirements
* Added Op.VariableTensorWrite as a Operation.memory_function to make
sure writes to variable tensors:
* Always use linear mode
* Are not moved to fast scratch
* Are not fused with other elementwise operation tensor ranges
Change-Id: Ief831738924ac3d1f2ba6d41f10bd6dc969911f3
Signed-off-by: Fredrik Svedberg <fredrik.svedberg@arm.com>
Diffstat (limited to 'ethosu/vela/live_range.py')
| -rw-r--r-- | ethosu/vela/live_range.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/ethosu/vela/live_range.py b/ethosu/vela/live_range.py index 995a0ccb..3abcfcf0 100644 --- a/ethosu/vela/live_range.py +++ b/ethosu/vela/live_range.py @@ -166,9 +166,9 @@ def tensor_should_be_ignored(tens, target_mem_area, target_mem_type_set): def _get_ifm_to_fuse(sched_op, target_mem_area=None, target_mem_type_set=None): ifm_tens = None - if sched_op.op_type.is_elementwise_op(): + elem_op = sched_op.parent_op + if sched_op.op_type.is_elementwise_op() and elem_op.memory_function is not Op.VariableTensorWrite: # Check if possible to merge ifm/ofm live ranges of elementwise op - elem_op = sched_op.parent_op if not tensor_should_be_ignored(elem_op.ofm, target_mem_area, target_mem_type_set): # Check if overwriting the inputs can be allowed OpShapeTens = namedtuple("OpShapeTens", ["op_shape", "tens"]) |