{
"cells": [
{
"cell_type": "code",
"execution_count": 7,
"id": "5892e647-fe40-46a9-8537-72380fe0b52d",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Region: us-west-2\n",
"Role: arn:aws:iam::933988069619:role/service-role/AmazonSageMaker-ExecutionRole-20230602T153402\n",
"Default Bucket: sagemaker-us-west-2-933988069619\n"
]
}
],
"source": [
"# Set Up Environment\n",
"\n",
"import boto3\n",
"import sagemaker\n",
"import sagemaker.session\n",
"\n",
"\n",
"region = boto3.Session().region_name\n",
"sagemaker_session = sagemaker.session.Session()\n",
"role = sagemaker.get_execution_role()\n",
"default_bucket = sagemaker_session.default_bucket()\n",
"\n",
"print(f\"Region: {region}\")\n",
"print(f\"Role: {role}\")\n",
"print(f\"Default Bucket: {default_bucket}\")"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "da84518d-cabb-44a6-818d-488ed560b6ca",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train Data Uri: s3://app-ml-dataset-0410/flowers\n",
"Test Data Uri: s3://app-ml-dataset-0410/flowers\n"
]
}
],
"source": [
"# 1. Prepare Dataset\n",
"\n",
"train_data_uri=\"s3://app-ml-dataset-0410/flowers\"\n",
"test_data_uri=train_data_uri\n",
"\n",
"print(f\"Train Data Uri: {train_data_uri}\")\n",
"print(f\"Test Data Uri: {test_data_uri}\")"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "d667b8fc-302c-4f74-a78c-31042377fa15",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"# 2. Define Pipeline Paramters\n",
"\n",
"from sagemaker.workflow.parameters import (\n",
" ParameterInteger,\n",
" ParameterString,\n",
" ParameterFloat,\n",
")\n",
"\n",
"processing_instance_count = ParameterInteger(\n",
" name=\"ProcessingInstanceCount\",\n",
" default_value=1\n",
")\n",
"train_data = ParameterString(\n",
" name=\"TrainData\",\n",
" default_value=train_data_uri,\n",
")\n",
"test_data = ParameterString(\n",
" name=\"TestData\",\n",
" default_value=test_data_uri,\n",
")\n",
"epoch_data = ParameterInteger(\n",
" name=\"Epoch\",\n",
" default_value=10\n",
")\n",
"batch_size_data = ParameterInteger(\n",
" name=\"BatchSize\",\n",
" default_value=16\n",
")\n",
"learning_rate_data = ParameterFloat(\n",
" name=\"LearningRate\",\n",
" default_value=0.0001\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "c5a06da9-239a-44fd-8824-570c1c754c29",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2023-06-04 07:55:29.476643: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
"To enable the following instructions: AVX512F, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"tf version: 2.12.0\n"
]
}
],
"source": [
"# 3. Define Training Step\n",
"\n",
"import tensorflow as tf\n",
"from sagemaker.tensorflow import TensorFlow, TrainingCompilerConfig\n",
"print(f\"tf version: {tf.__version__}\")\n",
"\n",
"# an updated max batch size that can fit into GPU memory with compiler\n",
"epochs=epoch_data.to_string()\n",
"batch_size=batch_size_data.to_string()\n",
"learning_rate=learning_rate_data.to_string()\n",
"\n",
"# hyperparameters\n",
"hyperparameters={\n",
"# \"n_gpus\": 1,\n",
" \"epochs\": epochs,\n",
" \"batch-size\": batch_size,\n",
" \"learning-rate\": learning_rate\n",
"}\n",
"\n",
"# estimator\n",
"tf_estimator=TensorFlow(\n",
" source_dir='src',\n",
" entry_point='train.py',\n",
" dependencies=[],\n",
" instance_count=1,\n",
" instance_type='ml.p3.2xlarge',\n",
" framework_version='2.11.0',\n",
" role=role,\n",
" hyperparameters=hyperparameters,\n",
" sagemaker_session=sagemaker_session,\n",
" compiler_config=TrainingCompilerConfig(),\n",
" py_version=\"py39\",\n",
" disable_profiler=True,\n",
" metric_definitions=[\n",
" {\"Name\": \"training_loss\", \"Regex\": \"loss: ([0-9.]*?) \"},\n",
" {\"Name\": \"training_accuracy\", \"Regex\": \"accuracy: ([0-9.]*?) \"},\n",
" {\"Name\": \"validation_loss\", \"Regex\": \"val_loss: ([0-9.]*?) \"},\n",
" {\"Name\": \"validation_accuracy\", \"Regex\": \"val_accuracy: ([0-9.]*?)$\"}\n",
" ],\n",
" base_job_name=\"app-flower-classifier-model\"\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "bdd387c7-2716-4c28-8cba-93a0e46f9b2c",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"from sagemaker.inputs import TrainingInput\n",
"from sagemaker.workflow.steps import TrainingStep\n",
"from sagemaker.workflow.properties import Properties\n",
"\n",
"step_train = TrainingStep(\n",
" name=\"Train\",\n",
" estimator=tf_estimator,\n",
" inputs={\n",
" \"train\": TrainingInput(\n",
" # s3_data=train_data.default_value,\n",
" s3_data=train_data.to_string(),\n",
" content_type=\"image/*\"\n",
" ),\n",
" \"test\": TrainingInput(\n",
" # s3_data=test_data.default_value,\n",
" s3_data=test_data.to_string(),\n",
" content_type=\"image/*\"\n",
" )\n",
" },\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "ced06809-d0ea-4df9-9047-381907b46a0e",
"metadata": {},
"outputs": [],
"source": [
"# 4. Create Model\n",
"\n",
"from sagemaker.model import Model\n",
"from sagemaker.inputs import CreateModelInput\n",
"from sagemaker.workflow.steps import CreateModelStep\n",
"\n",
"model = Model(\n",
" image_uri=\"763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:2.11.0-cpu\", \n",
" model_data=step_train.properties.ModelArtifacts.S3ModelArtifacts,\n",
" sagemaker_session=sagemaker_session,\n",
" predictor_cls=sagemaker.predictor.RealTimePredictor,\n",
" role=role\n",
")\n",
"\n",
"\n",
"inputs = CreateModelInput(\n",
" instance_type=\"ml.m5.large\",\n",
")\n",
"\n",
"step_create_model = CreateModelStep(\n",
" name=\"CreateModel\",\n",
" model=model,\n",
" inputs=inputs,\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "357a8dd9-3511-47dc-8b35-708d387226c3",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"# 5. Create a pipeline\n",
"\n",
"from sagemaker.workflow.pipeline import Pipeline\n",
"\n",
"\n",
"pipeline_name = f\"AppMlPipeline-Model\"\n",
"pipeline = Pipeline(\n",
" name=pipeline_name,\n",
" parameters=[\n",
" train_data,\n",
" test_data,\n",
" epoch_data,\n",
" batch_size_data,\n",
" learning_rate_data\n",
" ],\n",
" steps=[step_train, step_create_model],\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "2b9f0398-6f3d-4be9-838c-359d99369390",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"{'PipelineArn': 'arn:aws:sagemaker:us-west-2:933988069619:pipeline/AppMlPipeline-Model',\n",
" 'ResponseMetadata': {'RequestId': 'c58d4397-821d-4850-9b00-6f605bfd0b0d',\n",
" 'HTTPStatusCode': 200,\n",
" 'HTTPHeaders': {'x-amzn-requestid': 'c58d4397-821d-4850-9b00-6f605bfd0b0d',\n",
" 'content-type': 'application/x-amz-json-1.1',\n",
" 'content-length': '87',\n",
" 'date': 'Sun, 04 Jun 2023 07:55:32 GMT'},\n",
" 'RetryAttempts': 0}}"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 6. Run a pipeline\n",
"pipeline.upsert(role_arn=role)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "b04db5ab",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"{'Version': '2020-12-01',\n",
" 'Metadata': {},\n",
" 'Parameters': [{'Name': 'TrainData',\n",
" 'Type': 'String',\n",
" 'DefaultValue': 's3://app-ml-dataset-0410/flowers'},\n",
" {'Name': 'TestData',\n",
" 'Type': 'String',\n",
" 'DefaultValue': 's3://app-ml-dataset-0410/flowers'},\n",
" {'Name': 'Epoch', 'Type': 'Integer', 'DefaultValue': 10},\n",
" {'Name': 'BatchSize', 'Type': 'Integer', 'DefaultValue': 16},\n",
" {'Name': 'LearningRate', 'Type': 'Float', 'DefaultValue': 0.0001}],\n",
" 'PipelineExperimentConfig': {'ExperimentName': {'Get': 'Execution.PipelineName'},\n",
" 'TrialName': {'Get': 'Execution.PipelineExecutionId'}},\n",
" 'Steps': [{'Name': 'Train',\n",
" 'Type': 'Training',\n",
" 'Arguments': {'AlgorithmSpecification': {'TrainingInputMode': 'File',\n",
" 'TrainingImage': '763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:2.11.0-gpu-py39',\n",
" 'MetricDefinitions': [{'Name': 'training_loss',\n",
" 'Regex': 'loss: ([0-9.]*?) '},\n",
" {'Name': 'training_accuracy', 'Regex': 'accuracy: ([0-9.]*?) '},\n",
" {'Name': 'validation_loss', 'Regex': 'val_loss: ([0-9.]*?) '},\n",
" {'Name': 'validation_accuracy', 'Regex': 'val_accuracy: ([0-9.]*?)$'}],\n",
" 'EnableSageMakerMetricsTimeSeries': True},\n",
" 'OutputDataConfig': {'S3OutputPath': 's3://sagemaker-us-west-2-933988069619/'},\n",
" 'StoppingCondition': {'MaxRuntimeInSeconds': 86400},\n",
" 'ResourceConfig': {'VolumeSizeInGB': 30,\n",
" 'InstanceCount': 1,\n",
" 'InstanceType': 'ml.p3.2xlarge'},\n",
" 'RoleArn': 'arn:aws:iam::933988069619:role/service-role/AmazonSageMaker-ExecutionRole-20230602T153402',\n",
" 'InputDataConfig': [{'DataSource': {'S3DataSource': {'S3DataType': 'S3Prefix',\n",
" 'S3Uri': {'Get': 'Parameters.TrainData'},\n",
" 'S3DataDistributionType': 'FullyReplicated'}},\n",
" 'ContentType': 'image/*',\n",
" 'ChannelName': 'train'},\n",
" {'DataSource': {'S3DataSource': {'S3DataType': 'S3Prefix',\n",
" 'S3Uri': {'Get': 'Parameters.TestData'},\n",
" 'S3DataDistributionType': 'FullyReplicated'}},\n",
" 'ContentType': 'image/*',\n",
" 'ChannelName': 'test'}],\n",
" 'HyperParameters': {'epochs': {'Std:Join': {'On': '',\n",
" 'Values': [{'Get': 'Parameters.Epoch'}]}},\n",
" 'batch-size': {'Std:Join': {'On': '',\n",
" 'Values': [{'Get': 'Parameters.BatchSize'}]}},\n",
" 'learning-rate': {'Std:Join': {'On': '',\n",
" 'Values': [{'Get': 'Parameters.LearningRate'}]}},\n",
" 'sagemaker_submit_directory': '\"s3://sagemaker-us-west-2-933988069619/Train-61576aedf77e0891e5bae9f5e8e87f79/source/sourcedir.tar.gz\"',\n",
" 'sagemaker_program': '\"train.py\"',\n",
" 'sagemaker_container_log_level': '20',\n",
" 'sagemaker_region': '\"us-west-2\"',\n",
" 'model_dir': '\"s3://sagemaker-us-west-2-933988069619/Train-61576aedf77e0891e5bae9f5e8e87f79/model\"',\n",
" 'sagemaker_training_compiler_enabled': 'true',\n",
" 'sagemaker_training_compiler_debug_mode': 'false'},\n",
" 'DebugHookConfig': {'S3OutputPath': 's3://sagemaker-us-west-2-933988069619/',\n",
" 'CollectionConfigurations': []},\n",
" 'ProfilerConfig': {'DisableProfiler': True}}},\n",
" {'Name': 'CreateModel',\n",
" 'Type': 'Model',\n",
" 'Arguments': {'ExecutionRoleArn': 'arn:aws:iam::933988069619:role/service-role/AmazonSageMaker-ExecutionRole-20230602T153402',\n",
" 'PrimaryContainer': {'Image': '763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-inference:2.11.0-cpu',\n",
" 'Environment': {},\n",
" 'ModelDataUrl': {'Get': 'Steps.Train.ModelArtifacts.S3ModelArtifacts'}}}}]}"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 6. Describe pipeline\n",
"import json\n",
"\n",
"json.loads(pipeline.definition())"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d5c9a400-8c1c-443c-ad9e-4fb441353b3f",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"availableInstances": [
{
"_defaultOrder": 0,
"_isFastLaunch": true,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 4,
"name": "ml.t3.medium",
"vcpuNum": 2
},
{
"_defaultOrder": 1,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 8,
"name": "ml.t3.large",
"vcpuNum": 2
},
{
"_defaultOrder": 2,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 16,
"name": "ml.t3.xlarge",
"vcpuNum": 4
},
{
"_defaultOrder": 3,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 32,
"name": "ml.t3.2xlarge",
"vcpuNum": 8
},
{
"_defaultOrder": 4,
"_isFastLaunch": true,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 8,
"name": "ml.m5.large",
"vcpuNum": 2
},
{
"_defaultOrder": 5,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 16,
"name": "ml.m5.xlarge",
"vcpuNum": 4
},
{
"_defaultOrder": 6,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 32,
"name": "ml.m5.2xlarge",
"vcpuNum": 8
},
{
"_defaultOrder": 7,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 64,
"name": "ml.m5.4xlarge",
"vcpuNum": 16
},
{
"_defaultOrder": 8,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 128,
"name": "ml.m5.8xlarge",
"vcpuNum": 32
},
{
"_defaultOrder": 9,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 192,
"name": "ml.m5.12xlarge",
"vcpuNum": 48
},
{
"_defaultOrder": 10,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 256,
"name": "ml.m5.16xlarge",
"vcpuNum": 64
},
{
"_defaultOrder": 11,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 384,
"name": "ml.m5.24xlarge",
"vcpuNum": 96
},
{
"_defaultOrder": 12,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 8,
"name": "ml.m5d.large",
"vcpuNum": 2
},
{
"_defaultOrder": 13,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 16,
"name": "ml.m5d.xlarge",
"vcpuNum": 4
},
{
"_defaultOrder": 14,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 32,
"name": "ml.m5d.2xlarge",
"vcpuNum": 8
},
{
"_defaultOrder": 15,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 64,
"name": "ml.m5d.4xlarge",
"vcpuNum": 16
},
{
"_defaultOrder": 16,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 128,
"name": "ml.m5d.8xlarge",
"vcpuNum": 32
},
{
"_defaultOrder": 17,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 192,
"name": "ml.m5d.12xlarge",
"vcpuNum": 48
},
{
"_defaultOrder": 18,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 256,
"name": "ml.m5d.16xlarge",
"vcpuNum": 64
},
{
"_defaultOrder": 19,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 384,
"name": "ml.m5d.24xlarge",
"vcpuNum": 96
},
{
"_defaultOrder": 20,
"_isFastLaunch": false,
"category": "General purpose",
"gpuNum": 0,
"hideHardwareSpecs": true,
"memoryGiB": 0,
"name": "ml.geospatial.interactive",
"supportedImageNames": [
"sagemaker-geospatial-v1-0"
],
"vcpuNum": 0
},
{
"_defaultOrder": 21,
"_isFastLaunch": true,
"category": "Compute optimized",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 4,
"name": "ml.c5.large",
"vcpuNum": 2
},
{
"_defaultOrder": 22,
"_isFastLaunch": false,
"category": "Compute optimized",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 8,
"name": "ml.c5.xlarge",
"vcpuNum": 4
},
{
"_defaultOrder": 23,
"_isFastLaunch": false,
"category": "Compute optimized",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 16,
"name": "ml.c5.2xlarge",
"vcpuNum": 8
},
{
"_defaultOrder": 24,
"_isFastLaunch": false,
"category": "Compute optimized",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 32,
"name": "ml.c5.4xlarge",
"vcpuNum": 16
},
{
"_defaultOrder": 25,
"_isFastLaunch": false,
"category": "Compute optimized",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 72,
"name": "ml.c5.9xlarge",
"vcpuNum": 36
},
{
"_defaultOrder": 26,
"_isFastLaunch": false,
"category": "Compute optimized",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 96,
"name": "ml.c5.12xlarge",
"vcpuNum": 48
},
{
"_defaultOrder": 27,
"_isFastLaunch": false,
"category": "Compute optimized",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 144,
"name": "ml.c5.18xlarge",
"vcpuNum": 72
},
{
"_defaultOrder": 28,
"_isFastLaunch": false,
"category": "Compute optimized",
"gpuNum": 0,
"hideHardwareSpecs": false,
"memoryGiB": 192,
"name": "ml.c5.24xlarge",
"vcpuNum": 96
},
{
"_defaultOrder": 29,
"_isFastLaunch": true,
"category": "Accelerated computing",
"gpuNum": 1,
"hideHardwareSpecs": false,
"memoryGiB": 16,
"name": "ml.g4dn.xlarge",
"vcpuNum": 4
},
{
"_defaultOrder": 30,
"_isFastLaunch": false,
"category": "Accelerated computing",
"gpuNum": 1,
"hideHardwareSpecs": false,
"memoryGiB": 32,
"name": "ml.g4dn.2xlarge",
"vcpuNum": 8
},
{
"_defaultOrder": 31,
"_isFastLaunch": false,
"category": "Accelerated computing",
"gpuNum": 1,
"hideHardwareSpecs": false,
"memoryGiB": 64,
"name": "ml.g4dn.4xlarge",
"vcpuNum": 16
},
{
"_defaultOrder": 32,
"_isFastLaunch": false,
"category": "Accelerated computing",
"gpuNum": 1,
"hideHardwareSpecs": false,
"memoryGiB": 128,
"name": "ml.g4dn.8xlarge",
"vcpuNum": 32
},
{
"_defaultOrder": 33,
"_isFastLaunch": false,
"category": "Accelerated computing",
"gpuNum": 4,
"hideHardwareSpecs": false,
"memoryGiB": 192,
"name": "ml.g4dn.12xlarge",
"vcpuNum": 48
},
{
"_defaultOrder": 34,
"_isFastLaunch": false,
"category": "Accelerated computing",
"gpuNum": 1,
"hideHardwareSpecs": false,
"memoryGiB": 256,
"name": "ml.g4dn.16xlarge",
"vcpuNum": 64
},
{
"_defaultOrder": 35,
"_isFastLaunch": false,
"category": "Accelerated computing",
"gpuNum": 1,
"hideHardwareSpecs": false,
"memoryGiB": 61,
"name": "ml.p3.2xlarge",
"vcpuNum": 8
},
{
"_defaultOrder": 36,
"_isFastLaunch": false,
"category": "Accelerated computing",
"gpuNum": 4,
"hideHardwareSpecs": false,
"memoryGiB": 244,
"name": "ml.p3.8xlarge",
"vcpuNum": 32
},
{
"_defaultOrder": 37,
"_isFastLaunch": false,
"category": "Accelerated computing",
"gpuNum": 8,
"hideHardwareSpecs": false,
"memoryGiB": 488,
"name": "ml.p3.16xlarge",
"vcpuNum": 64
},
{
"_defaultOrder": 38,
"_isFastLaunch": false,
"category": "Accelerated computing",
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