structure saas with tools
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# Copyright 2021 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from google.cloud.aiplatform.helpers import container_uri_builders
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get_prebuilt_prediction_container_uri = (
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container_uri_builders.get_prebuilt_prediction_container_uri
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)
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is_prebuilt_prediction_container_uri = (
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container_uri_builders.is_prebuilt_prediction_container_uri
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)
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_get_closest_match_prebuilt_container_uri = (
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container_uri_builders._get_closest_match_prebuilt_container_uri
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)
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__all__ = (
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"get_prebuilt_prediction_container_uri",
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"is_prebuilt_prediction_container_uri",
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"_get_closest_match_prebuilt_container_uri",
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)
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# Copyright 2022 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import re
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from typing import Optional
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import warnings
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from google.cloud.aiplatform import initializer
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from google.cloud.aiplatform.constants import prediction
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from packaging import version
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def get_prebuilt_prediction_container_uri(
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framework: str,
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framework_version: str,
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region: Optional[str] = None,
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accelerator: str = "cpu",
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) -> str:
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"""
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Get a Vertex AI pre-built prediction Docker container URI for
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a given framework, version, region, and accelerator use.
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Example usage:
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```
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uri = aiplatform.helpers.get_prebuilt_prediction_container_uri(
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framework="tensorflow",
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framework_version="2.6",
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accelerator="gpu"
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)
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model = aiplatform.Model.upload(
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display_name="boston_housing_",
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artifact_uri="gs://my-bucket/my-model/",
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serving_container_image_uri=uri
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)
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```
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Args:
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framework (str):
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Required. The ML framework of the pre-built container. For example,
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`"tensorflow"`, `"xgboost"`, or `"sklearn"`
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framework_version (str):
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Required. The version of the specified ML framework as a string.
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region (str):
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Optional. AI region or multi-region. Used to select the correct
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Artifact Registry multi-region repository and reduce latency.
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Must start with `"us"`, `"asia"` or `"europe"`.
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Default is location set by `aiplatform.init()`.
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accelerator (str):
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Optional. The type of accelerator support provided by container. For
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example: `"cpu"` or `"gpu"`
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Default is `"cpu"`.
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Returns:
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uri (str):
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A Vertex AI prediction container URI
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Raises:
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ValueError: If containers for provided framework are unavailable or the
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container does not support the specified version, accelerator, or region.
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"""
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URI_MAP = prediction._SERVING_CONTAINER_URI_MAP
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DOCS_URI_MESSAGE = (
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f"See {prediction._SERVING_CONTAINER_DOCUMENTATION_URL} "
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"for complete list of supported containers"
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)
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# If region not provided, use initializer location
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region = region or initializer.global_config.location
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region = region.split("-", 1)[0]
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framework = framework.lower()
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if not URI_MAP.get(region):
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raise ValueError(
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f"Unsupported container region `{region}`, supported regions are "
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f"{', '.join(URI_MAP.keys())}. "
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f"{DOCS_URI_MESSAGE}"
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)
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if not URI_MAP[region].get(framework):
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raise ValueError(
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f"No containers found for framework `{framework}`. Supported frameworks are "
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f"{', '.join(URI_MAP[region].keys())} {DOCS_URI_MESSAGE}"
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)
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if not URI_MAP[region][framework].get(accelerator):
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raise ValueError(
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f"{framework} containers do not support `{accelerator}` accelerator. Supported accelerators "
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f"are {', '.join(URI_MAP[region][framework].keys())}. {DOCS_URI_MESSAGE}"
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)
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final_uri = URI_MAP[region][framework][accelerator].get(framework_version)
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if not final_uri:
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raise ValueError(
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f"No serving container for `{framework}` version `{framework_version}` "
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f"with accelerator `{accelerator}` found. Supported versions "
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f"include {', '.join(URI_MAP[region][framework][accelerator].keys())}. {DOCS_URI_MESSAGE}"
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)
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return final_uri
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def is_prebuilt_prediction_container_uri(image_uri: str) -> bool:
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"""Checks whether the image is pre-built by Vertex AI prediction.
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Args:
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image_uri (str):
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Required. The image uri to be checked whether it is prebuilt by Vertex
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AI prediction.
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Returns:
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If the image is prebuilt by Vertex AI prediction.
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"""
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return re.fullmatch(prediction.CONTAINER_URI_REGEX, image_uri) is not None
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# TODO(b/264191784) Deduplicate this method
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def _get_closest_match_prebuilt_container_uri(
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framework: str,
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framework_version: str,
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region: Optional[str] = None,
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accelerator: str = "cpu",
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) -> str:
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"""Return a pre-built container uri that is suitable for a specific framework and version.
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If there is no exact match for the given version, the closest one that is
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higher than the input version will be used.
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Args:
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framework (str):
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Required. The ML framework of the pre-built container. For example,
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`"tensorflow"`, `"xgboost"`, or `"sklearn"`
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framework_version (str):
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Required. The version of the specified ML framework as a string.
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region (str):
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Optional. AI region or multi-region. Used to select the correct
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Artifact Registry multi-region repository and reduce latency.
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Must start with `"us"`, `"asia"` or `"europe"`.
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Default is location set by `aiplatform.init()`.
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accelerator (str):
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Optional. The type of accelerator support provided by container. For
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example: `"cpu"` or `"gpu"`
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Default is `"cpu"`.
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Returns:
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A string representing the pre-built container uri.
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Raises:
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ValueError: If the framework doesn't have suitable pre-built container.
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"""
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URI_MAP = prediction._SERVING_CONTAINER_URI_MAP
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DOCS_URI_MESSAGE = (
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f"See {prediction._SERVING_CONTAINER_DOCUMENTATION_URL} "
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"for complete list of supported containers"
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)
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# If region not provided, use initializer location
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region = region or initializer.global_config.location
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region = region.split("-", 1)[0]
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framework = framework.lower()
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if not URI_MAP.get(region):
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raise ValueError(
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f"Unsupported container region `{region}`, supported regions are "
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f"{', '.join(URI_MAP.keys())}. "
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f"{DOCS_URI_MESSAGE}"
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)
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if not URI_MAP[region].get(framework):
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raise ValueError(
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f"No containers found for framework `{framework}`. Supported frameworks are "
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f"{', '.join(URI_MAP[region].keys())} {DOCS_URI_MESSAGE}"
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)
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if not URI_MAP[region][framework].get(accelerator):
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raise ValueError(
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f"{framework} containers do not support `{accelerator}` accelerator. Supported accelerators "
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f"are {', '.join(URI_MAP[region][framework].keys())}. {DOCS_URI_MESSAGE}"
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)
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framework_version = version.Version(framework_version)
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available_version_list = [
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version.Version(available_version)
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for available_version in URI_MAP[region][framework][accelerator].keys()
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]
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try:
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closest_version = min(
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[
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available_version
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for available_version in available_version_list
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if available_version >= framework_version
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# manually implement Version.major for packaging < 20.0
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and available_version._version.release[0]
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== framework_version._version.release[0]
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]
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)
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except ValueError:
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raise ValueError(
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f"You are using `{framework}` version `{framework_version}`. "
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f"Vertex pre-built containers support up to `{framework}` version "
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f"`{max(available_version_list)}` and don't assume forward compatibility. "
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f"Please build your own custom container. {DOCS_URI_MESSAGE}"
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) from None
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if closest_version != framework_version:
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warnings.warn(
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f"No exact match for `{framework}` version `{framework_version}`. "
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f"Pre-built container for `{framework}` version `{closest_version}` is used. "
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f"{DOCS_URI_MESSAGE}"
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)
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final_uri = URI_MAP[region][framework][accelerator].get(str(closest_version))
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return final_uri
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