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Appcode bazel how to#
Appcode bazel code#

!tlt lprnet evaluate -gpu_index=$GPU_INDEX -e $SPECS_DIR/tutorial_spec.txt \ # Verify the tensorrt engine accuracy on the validation dataset So, I ignored this error but I met the another error at the next evaluate step on notebook. It showed the error but actually, the notebook was created the “lprnet_epoch-24.etlt”. TypeError: set_data_preprocessing_parameters() got an unexpected keyword argument 'image_mean' 05:12:18,205 keras2onnx: The ONNX operator number change on the optimization: 132 -> 61įile "/opt/tlt/.cache/dazel/_dazel_tlt/2b81a5aac84a1d3b7a324f2a7a6f400b/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_nfiles/ai_infra/iva/lprnet/scripts/export.py", line 215, in įile "/opt/tlt/.cache/dazel/_dazel_tlt/2b81a5aac84a1d3b7a324f2a7a6f400b/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_nfiles/ai_infra/iva/lprnet/scripts/export.py", line 142, in mainįile "/opt/tlt/.cache/dazel/_dazel_tlt/2b81a5aac84a1d3b7a324f2a7a6f400b/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_nfiles/ai_infra/iva/lprnet/scripts/export.py", line 211, in run_exportįile "/opt/tlt/.cache/dazel/_dazel_tlt/2b81a5aac84a1d3b7a324f2a7a6f400b/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_nfiles/ai_infra/iva/common/export/keras_exporter.py", line 371, in export

The ONNX operator number change on the optimization: 132 -> 61 05:12:06,714 _loader: Merging specification from /workspace/data/lprnet/specs/tutorial_spec.txt Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them. WARNING:tensorflow:Deprecation warnings have been disabled. engine_file $USER_EXPERIMENT_DIR/export/lprnet_epoch-24.engine o $USER_EXPERIMENT_DIR/export/lprnet_epoch-24.etlt \ !tlt lprnet export -gpu_index=$GPU_INDEX -m $USER_EXPERIMENT_DIR/experiment_dir_unpruned/weights/lprnet_epoch-24.tlt \

Appcode bazel code#

It just run the following code after “Export in FP32 mode”. Please share the command line and the detailed log here.)

Appcode bazel how to#

How to reproduce the issue ? (This is for errors.

Training spec file(If have, please share here): Use the “tutorial_spec.txt” on sample code.

TLT Version (Please run “tlt info -verbose” and share “docker_tag” here): v3.0-p圓.0.

Network Type (Detectnet_v2/Faster_rcnn/Yolo_v4/LPRnet/Mask_rcnn/Classification/etc) : lprnet.

Hardware (T4/V100/Xavier/Nano/etc) : A100 PCIe.

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