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60 lines
2.1 KiB
Python
60 lines
2.1 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import os
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from typing import Optional
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from pydantic import BaseModel, Field
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class NvidiaPostTrainingConfig(BaseModel):
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"""Configuration for NVIDIA Post Training implementation."""
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api_key: Optional[str] = Field(
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default_factory=lambda: os.getenv("NVIDIA_API_KEY"),
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description="The NVIDIA API key, only needed of using the hosted service",
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)
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user_id: Optional[str] = Field(
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default_factory=lambda: os.getenv("NVIDIA_USER_ID", "llama-stack-user"),
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description="The NVIDIA user ID, only needed of using the hosted service",
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)
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dataset_namespace: Optional[str] = Field(
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default_factory=lambda: os.getenv("NVIDIA_DATASET_NAMESPACE", "default"),
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description="The NVIDIA dataset namespace, only needed of using the hosted service",
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)
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access_policies: Optional[dict] = Field(
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default_factory=lambda: os.getenv("NVIDIA_ACCESS_POLICIES", {}),
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description="The NVIDIA access policies, only needed of using the hosted service",
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)
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project_id: Optional[str] = Field(
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default_factory=lambda: os.getenv("NVIDIA_PROJECT_ID", "test-project"),
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description="The NVIDIA project ID, only needed of using the hosted service",
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)
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# ToDO: validate this, add default value
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customizer_url: str = Field(
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default_factory=lambda: os.getenv("NVIDIA_CUSTOMIZER_URL"),
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description="Base URL for the NeMo Customizer API",
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)
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timeout: int = Field(
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default=300,
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description="Timeout for the NVIDIA Post Training API",
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)
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max_retries: int = Field(
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default=3,
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description="Maximum number of retries for the NVIDIA Post Training API",
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)
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output_model_dir: str = Field(
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default_factory=lambda: os.getenv("NVIDIA_OUTPUT_MODEL_DIR", "test-example-model@v1"),
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description="Directory to save the output model",
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)
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