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Update pf pipeline tutorial #3488

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merged 7 commits into from
Jul 3, 2024
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Merged

Update pf pipeline tutorial #3488

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56f95e1
Update pf pipeline tutorial
alainli0928 Jul 2, 2024
ab994e1
Update PF component tutorial
alainli0928 Jul 2, 2024
177f288
Merge branch 'main' into pf-pipeline-tutorial-update-07022024
alainli0928 Jul 3, 2024
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Update readme
alainli0928 Jul 3, 2024
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Merge branch 'pf-pipeline-tutorial-update-07022024' of https://github…
alainli0928 Jul 3, 2024
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Merge branch 'main' into pf-pipeline-tutorial-update-07022024
alainli0928 Jul 3, 2024
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Fix
crazygao Jul 3, 2024
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12 changes: 10 additions & 2 deletions examples/tutorials/run-flow-with-pipeline/pipeline.ipynb
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Expand Up @@ -147,7 +147,11 @@
"| debug_info | uri_folder | If you run your flow component in __debug mode__, this port provides debugging information for each run of your lines. E.g. intermediate outputs between steps, or LLM response and token usage. |\n",
"\n",
"![prompt flow base component image](./media/cloud/flow-in-pipeline/pf-base-component.png)\n",
" \n",
"\n",
"> __NOTE:__</br>\n",
"> \n",
"> `flow_outputs` and `debug_info` outputs are required to be set `mount` mode as the output mode when you run pf component with multiple nodes. \n",
"\n",
" - Auto-generated parameters \n",
" \n",
" These parameters represent all your flow inputs and connections associated with your flow steps. You can set default values in the flow/run definition, and they can be further customized during job submission. Use '[web-classification](https://github.com/microsoft/promptflow/blob/main/examples/flows/standard/web-classification/flow.dag.yaml)' sample flow for example, this flow has only one input named 'url' and 2 LLM steps 'summarize_text_content' and 'classify_with_llm'. The input parameters of this flow component are:\n",
Expand Down Expand Up @@ -377,9 +381,13 @@
" flow_node.mini_batch_size = 5\n",
" flow_node.max_concurrency_per_instance = 2\n",
" flow_node.resources = {\"instance_count\": 1}\n",
" flow_node.outputs.flow_outputs.mode = \"rw_mount\"\n",
" flow_node.logging_level = \"DEBUG\"\n",
"\n",
" # set output mode to 'mount'\n",
" # This is required for the flow component when the 'instance_count' is set higher than 1\n",
" flow_node.outputs.flow_outputs.mode = \"mount\"\n",
" flow_node.outputs.debug_info.mode = \"mount\"\n",
"\n",
" result_parser_node = result_parser_component(\n",
" source_data=data_prep_node.outputs.output_data_folder,\n",
" pf_output_data=flow_node.outputs.flow_outputs,\n",
Expand Down
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