Chua, Vui Seng
commited on
Commit
•
92be954
1
Parent(s):
51b709b
Add OpenVINO IR
Browse files
.gitattributes
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@@ -33,3 +33,4 @@ eval_nbest_predictions.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-21750/pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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checkpoint-21750/trainer_state.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-21750/optimizer.pt filter=lfs diff=lfs merge=lfs -text
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checkpoint-21750/pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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checkpoint-21750/trainer_state.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-21750/optimizer.pt filter=lfs diff=lfs merge=lfs -text
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ir/*.bin filter=lfs diff=lfs merge=lfs -text
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ir/bert-base-squadv1-block-pruning-hybrid-filled-lt-nncf-57.92sparse-qat-lt.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:396c6a21b573b86ab5926eeb59a820faffedfc989364ed2be45eeeb9506a45e5
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size 44326840
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ir/bert-base-squadv1-block-pruning-hybrid-filled-lt-nncf-57.92sparse-qat-lt.mapping
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ir/bert-base-squadv1-block-pruning-hybrid-filled-lt-nncf-57.92sparse-qat-lt.xml
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ir/mo.log
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Model Optimizer arguments:
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Common parameters:
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- Path to the Input Model: /data1/vchua/tld-poc/repo/bert-base-squadv1-block-pruning-hybrid-filled-lt-nncf-57.92sparse-qat-lt/bert-base-squadv1-block-pruning-hybrid-filled-lt-nncf-57.92sparse-qat-lt.onnx
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- Path for generated IR: /data1/vchua/tld-poc/repo/bert-base-squadv1-block-pruning-hybrid-filled-lt-nncf-57.92sparse-qat-lt/ir
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- IR output name: bert-base-squadv1-block-pruning-hybrid-filled-lt-nncf-57.92sparse-qat-lt
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- Log level: ERROR
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- Batch: Not specified, inherited from the model
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- Input layers: Not specified, inherited from the model
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- Output layers: Not specified, inherited from the model
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- Input shapes: Not specified, inherited from the model
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- Mean values: Not specified
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- Scale values: Not specified
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- Scale factor: Not specified
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- Precision of IR: FP32
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- Enable fusing: True
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- Enable grouped convolutions fusing: True
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- Move mean values to preprocess section: None
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- Reverse input channels: False
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ONNX specific parameters:
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- Inference Engine found in: /opt/intel/openvino/python/python3.6/openvino
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Inference Engine version: 2021.4.2-3974-e2a469a3450-releases/2021/4
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Model Optimizer version: 2021.4.2-3974-e2a469a3450-releases/2021/4
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[ WARNING ] Convert data type of Parameter "input_ids" to int32
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[ WARNING ] Convert data type of Parameter "attention_mask.1" to int32
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[ WARNING ] Convert data type of Parameter "input.1" to int32
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[ SUCCESS ] Generated IR version 10 model.
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[ SUCCESS ] XML file: /data1/vchua/tld-poc/repo/bert-base-squadv1-block-pruning-hybrid-filled-lt-nncf-57.92sparse-qat-lt/ir/bert-base-squadv1-block-pruning-hybrid-filled-lt-nncf-57.92sparse-qat-lt.xml
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[ SUCCESS ] BIN file: /data1/vchua/tld-poc/repo/bert-base-squadv1-block-pruning-hybrid-filled-lt-nncf-57.92sparse-qat-lt/ir/bert-base-squadv1-block-pruning-hybrid-filled-lt-nncf-57.92sparse-qat-lt.bin
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[ SUCCESS ] Total execution time: 90.98 seconds.
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[ SUCCESS ] Memory consumed: 1913 MB.
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