diff options
Diffstat (limited to 'ethosu/vela/scheduler.py')
| -rw-r--r-- | ethosu/vela/scheduler.py | 39 |
1 files changed, 21 insertions, 18 deletions
diff --git a/ethosu/vela/scheduler.py b/ethosu/vela/scheduler.py index ca018d2e..d8c641a9 100644 --- a/ethosu/vela/scheduler.py +++ b/ethosu/vela/scheduler.py @@ -60,6 +60,7 @@ class SchedulerOptions: verbose_pareto_frontier_schedules=False, use_ifm_streaming=True, pareto_metric=ParetoMetric.BwCycMem, + use_nhcwb16_between_cascaded_passes=True, ): self.use_cascading = use_cascading self.use_ifm_ofm_overlap = use_ifm_ofm_overlap @@ -67,6 +68,7 @@ class SchedulerOptions: self.verbose_pareto_frontier_schedules = verbose_pareto_frontier_schedules self.use_ifm_streaming = use_ifm_streaming self.pareto_metric = pareto_metric + self.use_nhcwb16_between_cascaded_passes = use_nhcwb16_between_cascaded_passes def __str__(self): return type(self).__name__ + ": " + str(self.__dict__) @@ -921,25 +923,26 @@ class DynamicProgrammingScheduler: self.sg.cascaded_passes = cascaded_passes self.sg.build_cascaded_pass_links() - # Check if NHCWB16 can be used in between cascaded passes - # (NHCWB16 within cascaded passes has been handled earlier in this function) - if self.sg.placement == PassPlacement.Npu: - for ps in self.sg.cascaded_passes: - if ps.placement != PassPlacement.Npu: - continue - for output in ps.outputs: - if output.purpose != TensorPurpose.FeatureMap: + if self.options.use_nhcwb16_between_cascaded_passes: + # Check if NHCWB16 can be used in between cascaded passes + # (NHCWB16 within cascaded passes has been handled earlier in this function) + if self.sg.placement == PassPlacement.Npu: + for ps in self.sg.cascaded_passes: + if ps.placement != PassPlacement.Npu: continue - - use_NHCWB16 = True - for op in output.consumer_list: - if op == None or op.type == 'Reshape': - use_NHCWB16 = False - else: - use_NHCWB16 &= op.run_on_npu - - if use_NHCWB16: - output.set_format(TensorFormat.NHCWB16, arch) + for output in ps.outputs: + if output.purpose != TensorPurpose.FeatureMap: + continue + + use_NHCWB16 = True + for op in output.consumer_list: + if op == None or op.type == 'Reshape': + use_NHCWB16 = False + else: + use_NHCWB16 &= op.run_on_npu + + if use_NHCWB16: + output.set_format(TensorFormat.NHCWB16, arch) def schedule_passes(nng, arch, options: SchedulerOptions): |