Dynamic Batch Support for TRT #6955
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added 3 commits
November 23, 2020 17:24
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cc : @anijain2305 @trevor-m |
anijain2305
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Nov 30, 2020
trevor-m
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Nov 30, 2020
trevor-m
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Nov 30, 2020
anijain2305
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Dec 1, 2020
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Thanks @codeislife99 @trevor-m This is merged! |
trevor-m
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Dec 2, 2020
* add_annotate_fn * Reshape_ann_fn * Prune Subgraph * Dynamic Shape * Make PT Mask RCNN Work * Cleanup * Remove comments * Remove COmments * GetBatchSizeFix * Fix Remove Droupout * Fix Remove Droupout * TRT Runtime * Add MaskrCNN R50 * New Testing code * Fix black * Test Maskrcnn r50 done * Test MR50 * Space typo * Change Log to Dlog * Move test to tensorrt.py * Remove imports * Remove function * Add it to trt * import error * Imports * Add torch to CI * trt_test * Check test * Revert Pytorch install * Fix * test dynamic batch * TRT * Resolve PR comments * Zero batch size add Co-authored-by: Ubuntu <ubuntu@ip-172-31-27-149.us-east-2.compute.internal>
trevor-m
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Dec 4, 2020
* add_annotate_fn * Reshape_ann_fn * Prune Subgraph * Dynamic Shape * Make PT Mask RCNN Work * Cleanup * Remove comments * Remove COmments * GetBatchSizeFix * Fix Remove Droupout * Fix Remove Droupout * TRT Runtime * Add MaskrCNN R50 * New Testing code * Fix black * Test Maskrcnn r50 done * Test MR50 * Space typo * Change Log to Dlog * Move test to tensorrt.py * Remove imports * Remove function * Add it to trt * import error * Imports * Add torch to CI * trt_test * Check test * Revert Pytorch install * Fix * test dynamic batch * TRT * Resolve PR comments * Zero batch size add Co-authored-by: Ubuntu <ubuntu@ip-172-31-27-149.us-east-2.compute.internal>
trevor-m
pushed a commit
to neo-ai/tvm
that referenced
this pull request
Dec 4, 2020
* add_annotate_fn * Reshape_ann_fn * Prune Subgraph * Dynamic Shape * Make PT Mask RCNN Work * Cleanup * Remove comments * Remove COmments * GetBatchSizeFix * Fix Remove Droupout * Fix Remove Droupout * TRT Runtime * Add MaskrCNN R50 * New Testing code * Fix black * Test Maskrcnn r50 done * Test MR50 * Space typo * Change Log to Dlog * Move test to tensorrt.py * Remove imports * Remove function * Add it to trt * import error * Imports * Add torch to CI * trt_test * Check test * Revert Pytorch install * Fix * test dynamic batch * TRT * Resolve PR comments * Zero batch size add Co-authored-by: Ubuntu <ubuntu@ip-172-31-27-149.us-east-2.compute.internal>
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This PR adds support for dynamic batch size for dense, conv , conv_transpose and ops surrounding them