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Remove fork references (nv-morpheus#511)
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Remove references to personal forks from READMEs.

Authors:
  - Eli Fajardo (https://github.com/efajardo-nv)

Approvers:
  - Pete MacKinnon (https://github.com/pdmack)
  - Michael Demoret (https://github.com/mdemoret-nv)

URL: nv-morpheus#511
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efajardo-nv authored Dec 5, 2022
1 parent 505bd4d commit aa4c2fc
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Showing 2 changed files with 4 additions and 5 deletions.
2 changes: 1 addition & 1 deletion examples/digital_fingerprinting/starter/README.md
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Expand Up @@ -115,7 +115,7 @@ The following table shows mapping between the main Morpheus CLI commands and und

**Preprocessing stages**

`TrainAEStage` can either train user models using data matching a provided `--train_data_glob` or load pre-trained models from file using `--pretrained_filename`. When using `--train_data_glob`, user models can be saved using the `--models_output_filename` option. The `--source_stage_class` must also be used with `--train_data_glob` so that the training stage knows how to read the training data. The autoencoder implementation from this [fork](https://github.com/efajardo-nv/dfencoder/tree/morpheus-22.08) is used for user model training. The following are the available CLI options for the `TrainAEStage` (train-ae):
`TrainAEStage` can either train user models using data matching a provided `--train_data_glob` or load pre-trained models from file using `--pretrained_filename`. When using `--train_data_glob`, user models can be saved using the `--models_output_filename` option. The `--source_stage_class` must also be used with `--train_data_glob` so that the training stage knows how to read the training data. The autoencoder implementation used for user model training can be found [here](https://github.com/nv-morpheus/dfencoder). The following are the available CLI options for the `TrainAEStage` (train-ae):

| Option | Description
| ----------------------| ---------------------------------------------------------
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7 changes: 3 additions & 4 deletions examples/root_cause_analysis/README.md
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Expand Up @@ -128,9 +128,8 @@ If successful, you should see the following output:
```bash
Configuring Pipeline via CLI
Loaded labels file. Current labels: [['not_root_cause', 'is_root_cause']]
Parameter, 'vocab_hash_file', with relative path, './data/bert-base-uncased-hash.txt', does not exist. Using package relative location: '/my_data/gitrepos/efajardo-nv/Morpheus/morpheus/./data/bert-base-uncased-hash.txt'
Parameter, 'vocab_hash_file', with relative path, './data/bert-base-uncased-hash.txt', does not exist. Using package relative location: '/opt/conda/envs/morpheus/lib/python3.8/site-packages/morpheus/./data/bert-base-uncased-hash.txt'
Starting pipeline via CLI... Ctrl+C to Quit
W20221115 18:41:05.942132 31192 thread.cpp:138] unable to set memory policy - if using docker use: --cap-add=sys_nice to allow membind
Config:
{
"ae": null,
Expand Down Expand Up @@ -160,11 +159,11 @@ Starting! Time: 1668537665.9479523
====Registering Pipeline Complete!====
====Starting Pipeline====
====Pipeline Started====
Added source: <from-file-0; FileSourceStage(filename=/my_data/gitrepos/efajardo-nv/Morpheus/models/datasets/validation-data/root-cause-validation-data-input.jsonlines, iterative=False, file_type=FileTypes.Auto, repeat=1, filter_null=True, cudf_kwargs=None)>
Added source: <from-file-0; FileSourceStage(filename=/workspace/models/datasets/validation-data/root-cause-validation-data-input.jsonlines, iterative=False, file_type=FileTypes.Auto, repeat=1, filter_null=True, cudf_kwargs=None)>
└─> morpheus.MessageMeta
Added stage: <deserialize-1; DeserializeStage()>
└─ morpheus.MessageMeta -> morpheus.MultiMessage
Added stage: <preprocess-nlp-2; PreprocessNLPStage(vocab_hash_file=/my_data/gitrepos/efajardo-nv/Morpheus/morpheus/data/bert-base-uncased-hash.txt, truncation=True, do_lower_case=True, add_special_tokens=False, stride=-1, column=log)>
Added stage: <preprocess-nlp-2; PreprocessNLPStage(vocab_hash_file=/opt/conda/envs/morpheus/lib/python3.8/site-packages/morpheus/data/bert-base-uncased-hash.txt, truncation=True, do_lower_case=True, add_special_tokens=False, stride=-1, column=log)>
└─ morpheus.MultiMessage -> morpheus.MultiInferenceNLPMessage
Added stage: <inference-3; TritonInferenceStage(model_name=root-cause-binary-onnx, server_url=localhost:8001, force_convert_inputs=True, use_shared_memory=False)>
└─ morpheus.MultiInferenceNLPMessage -> morpheus.MultiResponseProbsMessage
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