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[VTA] Support for batched inference #3661
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tmoreau89
changed the title
[VTA] Support for batching in inference
[VTA] Support for batched inference
Jul 30, 2019
tmoreau89
requested review from
jroesch and
tqchen
and removed request for
tqchen
July 30, 2019 06:40
@vegaluisjose @liangfu @tqchen please review |
jroesch
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Jul 30, 2019
liangfu
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LGTM
jroesch
approved these changes
Jul 30, 2019
wweic
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to wweic/tvm
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Aug 9, 2019
* fix in IR pass to support padding on 6-d tensors * support for both N>1 and N==1 for padding * batch size > 1 tuning and base config * output formatting * batch conv2d * print all category results * revert to single-batch config * pick record best * fix conv test * improving reporting * address batching bug in fast simulator * fix
wweic
pushed a commit
to neo-ai/tvm
that referenced
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Sep 6, 2019
* fix in IR pass to support padding on 6-d tensors * support for both N>1 and N==1 for padding * batch size > 1 tuning and base config * output formatting * batch conv2d * print all category results * revert to single-batch config * pick record best * fix conv test * improving reporting * address batching bug in fast simulator * fix
tqchen
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to tqchen/tvm
that referenced
this pull request
Mar 29, 2020
* fix in IR pass to support padding on 6-d tensors * support for both N>1 and N==1 for padding * batch size > 1 tuning and base config * output formatting * batch conv2d * print all category results * revert to single-batch config * pick record best * fix conv test * improving reporting * address batching bug in fast simulator * fix
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This PR addresses some bugs that occur when setting
LOG_BATCH
to a value greater than 0 (i.e. batch size greater than 1).In addition, TOPHUB schedules were updated: tlc-pack/tophub@102b9b4
And a bitstream was added to test batched inference in hardware: uwsampl/vta-distro@e28d9d5
To reproduce in sim, set
vta_config.json
to:To run on
pynq
, setTARGET
topynq
.