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66 changes: 66 additions & 0 deletions benchmarking/nightly-benchmark.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,7 @@
# appropriate path at runtime.
results_path: /path/where/results/are/stored
datasets_path: /path/to/datasets
model_weights_path: /path/to/model_weights

datasets:
- name: "tinystories"
Expand Down Expand Up @@ -50,6 +51,14 @@ datasets:
formats:
- type: "parquet"
path: "{datasets_path}/rpv2_2023-14_en"
- name: "arxiv_downloads"
formats:
- type: "tar"
path: "{datasets_path}/arxiv_downloads"
- name: "fasttext_model"
formats:
- type: "bin"
path: "{model_weights_path}/fasttext/lid.176.bin"
Comment on lines +58 to +61
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For the image and video models we do it like:

  - name: "mscoco_model_weights"
    formats:
    - type: "files"
      path: "{datasets_path}/mscoco/model_weights"

and

  - name: "videos_model_weights"
    formats:
    - type: "files"
      path: "{datasets_path}/video_model_weights"

so do you think we should just do path: "{datasets_path}/fasttext/lid.176.bin" to match?


default_timeout_s: 7200

Expand Down Expand Up @@ -474,6 +483,63 @@ entries:
--wer-threshold=5.5
--gpus=1

- name: arxiv_e2e_pipeline_raydata
enabled: true
script: arxiv_e2e_pipeline_benchmark.py
args: >-
--benchmark-results-path={session_entry_dir}
--tar-input-path={dataset:arxiv_downloads,tar}
--output-path={session_entry_dir}/scratch/output
--fasttext-model-path={dataset:fasttext_model,bin}
--executor=ray_data
timeout_s: 3600
sink_data:
- name: slack
additional_metrics:
- throughput_docs_per_sec
- num_output_documents
- num_input_documents
ray:
num_cpus: 16
num_gpus: 4
enable_object_spilling: false
requirements:
# Data integrity checks
- metric: num_tar_files
exact_value: 45
- metric: num_input_documents
exact_value: 116383
- metric: num_output_documents
exact_value: 61474

- name: arxiv_e2e_pipeline_xenna
enabled: true
script: arxiv_e2e_pipeline_benchmark.py
args: >-
--benchmark-results-path={session_entry_dir}
--tar-input-path={dataset:arxiv_downloads,tar}
--output-path={session_entry_dir}/scratch/output
--fasttext-model-path={dataset:fasttext_model,bin}
--executor=xenna
timeout_s: 3600
sink_data:
- name: slack
additional_metrics:
- throughput_docs_per_sec
- num_output_documents
- num_input_documents
ray:
num_cpus: 16
num_gpus: 4
enable_object_spilling: false
requirements:
# Data integrity checks
- metric: num_tar_files
exact_value: 45
- metric: num_input_documents
exact_value: 116383
- metric: num_output_documents
exact_value: 61474
- name: video_embedding
enabled: true
script: video_pipeline_benchmark.py
Expand Down
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