Fail to create “gazenet_onnx.etlt” by NGC tlt_cv_samples_v1.1.0.zip

Accelerated Computing Intelligent Video Analytics TAO Toolkit
1

Hi,

I can success to create “gazenet_onnx.etlt” on gazenet/gazenet.ipynb based on NGC like below version.
wget --content-disposition https://api.ngc.nvidia.com/v2/resources/nvidia/tlt_cv_samples/versions/v1.0.2/zip -O tlt_cv_samples_v1.0.2.zip

But, It seems to be failed to create “gazenet_onnx.etlt” at “gazenet export” command on gazenet/gazenet.ipynb in below new version;
wget --content-disposition https://api.ngc.nvidia.com/v2/resources/nvidia/tlt_cv_samples/versions/v1.1.0/zip -O tlt_cv_samples_v1.1.0.zip

[Detail]
Command:
!tlt gazenet export -m $USER_EXPERIMENT_DIR/experiment_result/exp1/model.tlt
-o $USER_EXPERIMENT_DIR/experiment_dir_final/gazenet_onnx.etlt
-t tfonnx
-k $KEY

Error:
File “/usr/local/lib/python3.6/dist-packages/keras/engine/saving.py”, line 419, in load_model
model = _deserialize_model(f, custom_objects, compile)
File “/usr/local/lib/python3.6/dist-packages/keras/engine/saving.py”, line 225, in _deserialize_model
model = model_from_config(model_config, custom_objects=custom_objects)
File “/usr/local/lib/python3.6/dist-packages/keras/engine/saving.py”, line 458, in model_from_config
return deserialize(config, custom_objects=custom_objects)
File “/usr/local/lib/python3.6/dist-packages/keras/layers/init.py”, line 55, in deserialize
printable_module_name=‘layer’)
File “/usr/local/lib/python3.6/dist-packages/keras/utils/generic_utils.py”, line 129, in deserialize_keras_object
if custom_objects and class_name in custom_objects:
TypeError: argument of type ‘int’ is not iterable
Traceback (most recent call last):
File “/usr/local/bin/gazenet”, line 8, in
sys.exit(main())
File “/opt/tlt/.cache/dazel/_dazel_tlt/2b81a5aac84a1d3b7a324f2a7a6f400b/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/driveix/build_wheel.runfiles/ai_infra/driveix/mitgazenet/entrypoint/gazenet.py”, line 13, in main
File “/opt/tlt/.cache/dazel/_dazel_tlt/2b81a5aac84a1d3b7a324f2a7a6f400b/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/driveix/build_wheel.runfiles/ai_infra/driveix/common/entrypoint/entrypoint.py”, line 300, in launch_job
AssertionError: Process run failed.

Question:

  • Do you have same experience?

We would appreciate if you tell us how to solve this problem with new version ( tlt_cv_samples_v1.1.0.zip)

Best regards,

3

Which tlt version did you use?
Please run below command and share the result.
$ tlt info --verbose

4

Hi,

Thank you very much for your kindness.
I really appreciate your help.

I used below docker;

docker pull nvcr.io/nvidia/tlt-streamanalytics:v3.0-py3

We would appreciate if you tell us how to solve our problem.

Best regards,

5

Please run below command and share your result.
$ tlt info --verbose

6

Hi,

I’d like to share the result;

Configuration of the TLT Instance

dockers:
nvidia/tlt-streamanalytics:
docker_registry: nvcr.io
docker_tag: v3.0-py3
tasks:
1. augment
2. bpnet
3. classification
4. detectnet_v2
5. dssd
6. emotionnet
7. faster_rcnn
8. fpenet
9. gazenet
10. gesturenet
11. heartratenet
12. lprnet
13. mask_rcnn
14. multitask_classification
15. retinanet
16. ssd
17. unet
18. yolo_v3
19. yolo_v4
20. tlt-converter
nvidia/tlt-pytorch:
docker_registry: nvcr.io
docker_tag: v3.0-py3
tasks:
1. speech_to_text
2. speech_to_text_citrinet
3. text_classification
4. question_answering
5. token_classification
6. intent_slot_classification
7. punctuation_and_capitalization
format_version: 1.0
tlt_version: 3.0
published_date: 04/16/2021

–
We would appreciate if you tell us how to solve our problem.

Best regards,

7

Can you download the official tlt model from gazenet model card and try again?
See https://docs.nvidia.com/tlt/tlt-user-guide/text/purpose_built_models/gazenet.html#intended-use-case → https://ngc.nvidia.com/catalog/models/nvidia:tlt_gazenet/files

$ wget https://api.ngc.nvidia.com/v2/models/nvidia/tlt_gazenet/versions/trainable_v1.0/files/model.tlt

I cannot reproduce your error with this tlt model. The etlt model can be generated successfully.
See below log.

$ tlt gazenet export -m /workspace/demo_3.0/forum_repro/gazenet/model.tlt -o /workspace/demo_3.0/forum_repro/gazenet/model.etlt -k nvidia_tlt
2021-07-27 11:20:37,470 [INFO] root: Registry: [‘nvcr.io’]
2021-07-27 11:21:23,961 [WARNING] tlt.components.docker_handler.docker_handler:
Docker will run the commands as root. If you would like to retain your
local host permissions, please add the “user”:“UID:GID” in the
DockerOptions portion of the ~/.tlt_mounts.json file. You can obtain your
users UID and GID by using the “id -u” and “id -g” commands on the
terminal.
2021-07-27 03:21:28.612678: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them.
Using TensorFlow backend.
WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/2b81a5aac84a1d3b7a324f2a7a6f400b/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/driveix/build_wheel.runfiles/ai_infra/driveix/mitgazenet/dataloader/augmentation_helper.py:22: The name tf.logging.set_verbosity is deprecated. Please use tf.compat.v1.logging.set_verbosity instead.

WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/2b81a5aac84a1d3b7a324f2a7a6f400b/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/driveix/build_wheel.runfiles/ai_infra/driveix/mitgazenet/dataloader/augmentation_helper.py:22: The name tf.logging.INFO is deprecated. Please use tf.compat.v1.logging.INFO instead.

WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/2b81a5aac84a1d3b7a324f2a7a6f400b/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/driveix/build_wheel.runfiles/ai_infra/driveix/mitgazenet/dataloader/gazenet_dataloader_augmentation_V2.py:38: The name tf.FixedLenFeature is deprecated. Please use tf.io.FixedLenFeature instead.

WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/2b81a5aac84a1d3b7a324f2a7a6f400b/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/tfhooks/checkpoint_saver_hook.py:25: The name tf.train.CheckpointSaverHook is deprecated. Please use tf.estimator.CheckpointSaverHook instead.

WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them.
Using TensorFlow backend.
2021-07-27 03:21:34,876 [WARNING] main: Please verify the input dimension and input name before using this code!!!
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.

2021-07-27 03:21:35,172 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4185: The name tf.truncated_normal is deprecated. Please use tf.random.truncated_normal instead.

2021-07-27 03:21:35,190 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4185: The name tf.truncated_normal is deprecated. Please use tf.random.truncated_normal instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:245: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.

2021-07-27 03:21:35,207 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:245: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.

WARNING:tensorflow:From /opt/nvidia/third_party/keras/tensorflow_backend.py:183: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.

2021-07-27 03:21:35,223 [WARNING] tensorflow: From /opt/nvidia/third_party/keras/tensorflow_backend.py:183: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead.

2021-07-27 03:21:35,232 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:133: The name tf.placeholder_with_default is deprecated. Please use tf.compat.v1.placeholder_with_default instead.

2021-07-27 03:21:35,236 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:133: The name tf.placeholder_with_default is deprecated. Please use tf.compat.v1.placeholder_with_default instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.

2021-07-27 03:21:35,723 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:181: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

2021-07-27 03:21:35,723 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:181: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:186: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.

2021-07-27 03:21:35,723 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:186: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.

2021-07-27 03:21:36,126 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead.

2021-07-27 03:21:36,126 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead.

2021-07-27 03:21:36,351 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead.

The ONNX operator number change on the optimization: 135 → 82
2021-07-27 03:21:42,270 [INFO] keras2onnx: The ONNX operator number change on the optimization: 135 → 82
2021-07-27 11:21:43,899 [INFO] tlt.components.docker_handler.docker_handler: Stopping container.

8

I can reproduce the error with “tfonnx”. Checking internally.

$ tlt gazenet export -m /workspace/demo_3.0/forum_repro/gazenet/model.tlt -o /workspace/demo_3.0/forum_repro/gazenet/model.etlt -t tfonnx -k nvidia_tlt
2021-07-27 11:26:58,040 [INFO] root: Registry: [‘nvcr.io’]
2021-07-27 11:27:02,054 [WARNING] tlt.components.docker_handler.docker_handler:
Docker will run the commands as root. If you would like to retain your
local host permissions, please add the “user”:“UID:GID” in the
DockerOptions portion of the ~/.tlt_mounts.json file. You can obtain your
users UID and GID by using the “id -u” and “id -g” commands on the
terminal.
2021-07-27 03:27:04.485364: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them.
Using TensorFlow backend.
WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/2b81a5aac84a1d3b7a324f2a7a6f400b/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/driveix/build_wheel.runfiles/ai_infra/driveix/mitgazenet/dataloader/augmentation_helper.py:22: The name tf.logging.set_verbosity is deprecated. Please use tf.compat.v1.logging.set_verbosity instead.

WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/2b81a5aac84a1d3b7a324f2a7a6f400b/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/driveix/build_wheel.runfiles/ai_infra/driveix/mitgazenet/dataloader/augmentation_helper.py:22: The name tf.logging.INFO is deprecated. Please use tf.compat.v1.logging.INFO instead.

WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/2b81a5aac84a1d3b7a324f2a7a6f400b/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/driveix/build_wheel.runfiles/ai_infra/driveix/mitgazenet/dataloader/gazenet_dataloader_augmentation_V2.py:38: The name tf.FixedLenFeature is deprecated. Please use tf.io.FixedLenFeature instead.

WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/2b81a5aac84a1d3b7a324f2a7a6f400b/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/tfhooks/checkpoint_saver_hook.py:25: The name tf.train.CheckpointSaverHook is deprecated. Please use tf.estimator.CheckpointSaverHook instead.

WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them.
Using TensorFlow backend.
2021-07-27 03:27:10,310 [WARNING] main: Please verify the input dimension and input name before using this code!!!
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.

2021-07-27 03:27:10,542 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4185: The name tf.truncated_normal is deprecated. Please use tf.random.truncated_normal instead.

2021-07-27 03:27:10,562 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4185: The name tf.truncated_normal is deprecated. Please use tf.random.truncated_normal instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:245: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.

2021-07-27 03:27:10,579 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:245: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.

WARNING:tensorflow:From /opt/nvidia/third_party/keras/tensorflow_backend.py:183: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.

2021-07-27 03:27:10,595 [WARNING] tensorflow: From /opt/nvidia/third_party/keras/tensorflow_backend.py:183: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead.

2021-07-27 03:27:10,605 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:133: The name tf.placeholder_with_default is deprecated. Please use tf.compat.v1.placeholder_with_default instead.

2021-07-27 03:27:10,609 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:133: The name tf.placeholder_with_default is deprecated. Please use tf.compat.v1.placeholder_with_default instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.

2021-07-27 03:27:11,098 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:181: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

2021-07-27 03:27:11,098 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:181: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:186: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.

2021-07-27 03:27:11,098 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:186: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.

2021-07-27 03:27:11,490 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead.

2021-07-27 03:27:11,490 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead.

2021-07-27 03:27:11,696 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:95: The name tf.reset_default_graph is deprecated. Please use tf.compat.v1.reset_default_graph instead.

2021-07-27 03:27:16,300 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:95: The name tf.reset_default_graph is deprecated. Please use tf.compat.v1.reset_default_graph instead.

Traceback (most recent call last):
File “/opt/tlt/.cache/dazel/_dazel_tlt/2b81a5aac84a1d3b7a324f2a7a6f400b/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/driveix/build_wheel.runfiles/ai_infra/driveix/mitgazenet/scripts/export.py”, line 146, in
File “/opt/tlt/.cache/dazel/_dazel_tlt/2b81a5aac84a1d3b7a324f2a7a6f400b/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/driveix/build_wheel.runfiles/ai_infra/driveix/mitgazenet/scripts/export.py”, line 142, in main
File “/opt/tlt/.cache/dazel/_dazel_tlt/2b81a5aac84a1d3b7a324f2a7a6f400b/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/driveix/build_wheel.runfiles/ai_infra/driveix/common/utilities/tlt_utils.py”, line 411, in save_etlt_file
File “/opt/tlt/.cache/dazel/_dazel_tlt/2b81a5aac84a1d3b7a324f2a7a6f400b/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/core/build_wheel.runfiles/ai_infra/moduluspy/modulus/export/_uff.py”, line 153, in keras_to_pb
File “/opt/tlt/.cache/dazel/_dazel_tlt/2b81a5aac84a1d3b7a324f2a7a6f400b/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/core/build_wheel.runfiles/ai_infra/moduluspy/modulus/export/_uff.py”, line 110, in _reload_model_for_inference
File “/usr/local/lib/python3.6/dist-packages/keras/engine/saving.py”, line 419, in load_model
model = _deserialize_model(f, custom_objects, compile)
File “/usr/local/lib/python3.6/dist-packages/keras/engine/saving.py”, line 225, in _deserialize_model
model = model_from_config(model_config, custom_objects=custom_objects)
File “/usr/local/lib/python3.6/dist-packages/keras/engine/saving.py”, line 458, in model_from_config
return deserialize(config, custom_objects=custom_objects)
File “/usr/local/lib/python3.6/dist-packages/keras/layers/init.py”, line 55, in deserialize
printable_module_name=‘layer’)
File “/usr/local/lib/python3.6/dist-packages/keras/utils/generic_utils.py”, line 129, in deserialize_keras_object
if custom_objects and class_name in custom_objects:
TypeError: argument of type ‘int’ is not iterable
Traceback (most recent call last):
File “/usr/local/bin/gazenet”, line 8, in
sys.exit(main())
File “/opt/tlt/.cache/dazel/_dazel_tlt/2b81a5aac84a1d3b7a324f2a7a6f400b/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/driveix/build_wheel.runfiles/ai_infra/driveix/mitgazenet/entrypoint/gazenet.py”, line 13, in main
File “/opt/tlt/.cache/dazel/_dazel_tlt/2b81a5aac84a1d3b7a324f2a7a6f400b/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/driveix/build_wheel.runfiles/ai_infra/driveix/common/entrypoint/entrypoint.py”, line 300, in launch_job
AssertionError: Process run failed.
2021-07-27 11:27:17,713 [INFO] tlt.components.docker_handler.docker_handler: Stopping container.

10

Hi,

Thank you very much for your kindness.
I really appreciate your help.

We are waiting for your answer.

Best regards,

11

Internal team is still working on that.
Please export without “-t tfonnx”.

12

Hi,

Thank you very much for your kindness.
I really appreciate your help.

I’d like to check the behavior.

Best regards,

13

Next release will fix the issue of exporting with “-t tfonnx”

14

Hi,

Thank you very much for your kindness.
I really appreciate your help.

We understand "Next release will fix the issue of exporting with “-t tfonnx”.

We’d like to share our gaze-demo result on the Inference Sever with Jetson-NX(JetPack4.5.1) based on below link;
https://docs.nvidia.com/metropolis/TLT/tlt-user-guide/text/tlt_cv_inf_pipeline/quick_start_scripts.html#gaze

We found Error like below with “cv_tlt_init.sh” command.
image

And we can success to run the gaze-demo by modifying to “cv_tlt_init.sh” like below; (by using raw password)

image
image766×96 27.3 KB

We also appreciate if you consider to fix this problem for next update release.

Best regards,

15

Thanks for the catching. I will double check and sync with internal team.

16

TLT has been updated to v3.21.08. It will fix this issue.
You can upgrade via below way. See Migrating from TAO Toolkit 3.x to TAO Toolkit 4.0 - NVIDIA Docs

pip3 uninstall nvidia-tlt
pip3 install nvidia-tao

dockers:
nvidia/tao/tao-toolkit-tf:
docker_registry: nvcr.io
docker_tag: v3.21.08-py3
tasks:
1. augment
2. bpnet
3. classification
4. detectnet_v2
5. dssd
6. emotionnet
7. faster_rcnn
8. fpenet
9. gazenet
10. gesturenet
11. heartratenet
12. lprnet
13. mask_rcnn
14. multitask_classification
15. retinanet
16. ssd
17. unet
18. yolo_v3
19. yolo_v4
20. converter
nvidia/tao/tao-toolkit-pyt:
docker_registry: nvcr.io
docker_tag: v3.21.08-py3
tasks:
1. speech_to_text
2. speech_to_text_citrinet
3. text_classification
4. question_answering
5. token_classification
6. intent_slot_classification
7. punctuation_and_capitalization
nvidia/tao/tao-toolkit-lm:
docker_registry: nvcr.io
docker_tag: v3.21.08-py3
tasks:
1. n_gram
format_version: 1.0
toolkit_version: 3.21.08
published_date: 08/17/2021