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// Copyright 2023 Google LLC | ||
// | ||
// Licensed under the Apache License, Version 2.0 (the "License"); | ||
// you may not use this file except in compliance with the License. | ||
// You may obtain a copy of the License at | ||
// | ||
// http://www.apache.org/licenses/LICENSE-2.0 | ||
// | ||
// Unless required by applicable law or agreed to in writing, software | ||
// distributed under the License is distributed on an "AS IS" BASIS, | ||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
// See the License for the specific language governing permissions and | ||
// limitations under the License. | ||
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/* eslint-disable */ | ||
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'use strict'; | ||
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const {assert} = require('chai'); | ||
const {describe, it} = require('mocha'); | ||
const uuid = require('uuid') | ||
const sinon = require('sinon'); | ||
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const aiplatform = require('@google-cloud/aiplatform'); | ||
const clientOptions = { | ||
apiEndpoint: 'europe-west4-aiplatform.googleapis.com', | ||
}; | ||
const pipelineClient = new aiplatform.v1.PipelineServiceClient(clientOptions); | ||
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const {tuneModel} = require('../tuning'); | ||
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const projectId = process.env.CAIP_PROJECT_ID; | ||
const location = 'europe-west4'; | ||
const timestampId = `${new Date().toISOString().replace(/(:|\.)/g, '-').toLowerCase()}` | ||
const pipelineJobName = `my-tuning-pipeline-${timestampId}` | ||
const modelDisplayName = `my-tuned-model-${timestampId}` | ||
const bucketName = `ucaip-samples-europe-west4/training_pipeline_output`; | ||
const bucketUri = `gs://${bucketName}/tune-model-nodejs` | ||
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describe('Tune a model', () => { | ||
const stubConsole = function () { | ||
sinon.stub(console, 'error'); | ||
sinon.stub(console, 'log'); | ||
}; | ||
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const restoreConsole = function () { | ||
console.log.restore(); | ||
console.error.restore(); | ||
}; | ||
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after(async () => { | ||
// Cancel and delete the pipeline job | ||
const name = pipelineClient.pipelineJobPath( | ||
projectId, | ||
location, | ||
pipelineJobName | ||
); | ||
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const cancelRequest = { | ||
name, | ||
}; | ||
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pipelineClient.cancelPipelineJob(cancelRequest).then(() => { | ||
const deleteRequest = { | ||
name, | ||
}; | ||
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return pipelineClient.deletePipeline(deleteRequest); | ||
}); | ||
}); | ||
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beforeEach(stubConsole); | ||
afterEach(restoreConsole); | ||
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it('should prompt-tune an existing model', async () => { | ||
// Act | ||
await tuneModel(projectId, pipelineJobName, modelDisplayName, bucketUri); | ||
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// Assert | ||
assert.include(console.log.firstCall.args, 'Tuning pipeline job:'); | ||
}); | ||
}); |
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/* | ||
* Copyright 2023 Google LLC | ||
* | ||
* Licensed under the Apache License, Version 2.0 (the "License"); | ||
* you may not use this file except in compliance with the License. | ||
* You may obtain a copy of the License at | ||
* | ||
* https://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*/ | ||
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'use strict'; | ||
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async function main( | ||
project, | ||
pipelineJobId, | ||
modelDisplayName, | ||
gcsOutputDirectory, | ||
location = 'europe-west4', | ||
datasetUri = 'gs://cloud-samples-data/ai-platform/generative_ai/headline_classification.jsonl', | ||
trainSteps = 10 | ||
) { | ||
// [START aiplatform_model_tuning] | ||
/** | ||
* TODO(developer): Uncomment these variables before running the sample.\ | ||
* (Not necessary if passing values as arguments) | ||
*/ | ||
// const project = 'YOUR_PROJECT_ID'; | ||
// const location = 'YOUR_PROJECT_LOCATION'; | ||
const aiplatform = require('@google-cloud/aiplatform'); | ||
const {PipelineServiceClient} = aiplatform.v1; | ||
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// Import the helper module for converting arbitrary protobuf.Value objects. | ||
const {helpers} = aiplatform; | ||
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// Specifies the location of the api endpoint | ||
const clientOptions = { | ||
apiEndpoint: 'europe-west4-aiplatform.googleapis.com', | ||
}; | ||
const model = 'text-bison@001'; | ||
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const pipelineClient = new PipelineServiceClient(clientOptions); | ||
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async function tuneLLM() { | ||
// Configure the parent resource | ||
const parent = `projects/${project}/locations/${location}`; | ||
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const parameters = { | ||
train_steps: helpers.toValue(trainSteps), | ||
project: helpers.toValue(project), | ||
location: helpers.toValue('us-central1'), | ||
dataset_uri: helpers.toValue(datasetUri), | ||
large_model_reference: helpers.toValue(model), | ||
model_display_name: helpers.toValue(modelDisplayName), | ||
}; | ||
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const runtimeConfig = { | ||
gcsOutputDirectory, | ||
parameterValues: parameters, | ||
}; | ||
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const pipelineJob = { | ||
templateUri: | ||
'https://us-kfp.pkg.dev/ml-pipeline/large-language-model-pipelines/tune-large-model/v1.0.0', | ||
displayName: 'my-tuning-job', | ||
runtimeConfig, | ||
}; | ||
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const createPipelineRequest = { | ||
parent, | ||
pipelineJob, | ||
pipelineJobId, | ||
}; | ||
await new Promise((resolve, reject) => { | ||
pipelineClient.createPipelineJob(createPipelineRequest).then( | ||
response => resolve(response), | ||
e => reject(e) | ||
); | ||
}).then(response => { | ||
const [result] = response; | ||
console.log('Tuning pipeline job:'); | ||
console.log(`\tName: ${result.name}`); | ||
console.log( | ||
`\tCreate time: ${new Date(1970, 0, 1) | ||
.setSeconds(result.createTime.seconds) | ||
.toLocaleString()}` | ||
); | ||
console.log(`\tStatus: ${result.status}`); | ||
}); | ||
} | ||
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await tuneLLM(); | ||
// [END aiplatform_model_tuning] | ||
} | ||
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exports.tuneModel = main; |