Blame - docs/dyn/notebooks_v1.projects.locations.executions.html - platform/external/python/google-api-python-client

blob: 8f1dc628874c38fc3c68b346c44fc98e8a719659 [file] [log] [blame]

yoshi-code-bot	b6dc1b9	2021-03-02 11:49:08 -0800	[diff] [blame]	1	<html><body>
				2	<style>
				3
				4	body, h1, h2, h3, div, span, p, pre, a {
				5	margin: 0;
				6	padding: 0;
				7	border: 0;
				8	font-weight: inherit;
				9	font-style: inherit;
				10	font-size: 100%;
				11	font-family: inherit;
				12	vertical-align: baseline;
				13	}
				14
				15	body {
				16	font-size: 13px;
				17	padding: 1em;
				18	}
				19
				20	h1 {
				21	font-size: 26px;
				22	margin-bottom: 1em;
				23	}
				24
				25	h2 {
				26	font-size: 24px;
				27	margin-bottom: 1em;
				28	}
				29
				30	h3 {
				31	font-size: 20px;
				32	margin-bottom: 1em;
				33	margin-top: 1em;
				34	}
				35
				36	pre, code {
				37	line-height: 1.5;
				38	font-family: Monaco, 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', 'Lucida Console', monospace;
				39	}
				40
				41	pre {
				42	margin-top: 0.5em;
				43	}
				44
				45	h1, h2, h3, p {
				46	font-family: Arial, sans serif;
				47	}
				48
				49	h1, h2, h3 {
				50	border-bottom: solid #CCC 1px;
				51	}
				52
				53	.toc_element {
				54	margin-top: 0.5em;
				55	}
				56
				57	.firstline {
				58	margin-left: 2 em;
				59	}
				60
				61	.method {
				62	margin-top: 1em;
				63	border: solid 1px #CCC;
				64	padding: 1em;
				65	background: #EEE;
				66	}
				67
				68	.details {
				69	font-weight: bold;
				70	font-size: 14px;
				71	}
				72
				73	</style>
				74
				75	<h1><a href="notebooks_v1.html">Notebooks API</a> . <a href="notebooks_v1.projects.html">projects</a> . <a href="notebooks_v1.projects.locations.html">locations</a> . <a href="notebooks_v1.projects.locations.executions.html">executions</a></h1>
				76	<h2>Instance Methods</h2>
				77	<p class="toc_element">
				78	<code><a href="#close">close()</a></code></p>
				79	<p class="firstline">Close httplib2 connections.</p>
				80	<p class="toc_element">
				81	<code><a href="#create">create(parent, body=None, executionId=None, x__xgafv=None)</a></code></p>
				82	<p class="firstline">Creates a new Scheduled Notebook in a given project and location.</p>
				83	<p class="toc_element">
				84	<code><a href="#delete">delete(name, x__xgafv=None)</a></code></p>
				85	<p class="firstline">Deletes execution</p>
				86	<p class="toc_element">
				87	<code><a href="#get">get(name, x__xgafv=None)</a></code></p>
				88	<p class="firstline">Gets details of executions</p>
				89	<p class="toc_element">
				90	<code><a href="#list">list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)</a></code></p>
				91	<p class="firstline">Lists executions in a given project and location</p>
				92	<p class="toc_element">
				93	<code><a href="#list_next">list_next(previous_request, previous_response)</a></code></p>
				94	<p class="firstline">Retrieves the next page of results.</p>
				95	<h3>Method Details</h3>
				96	<div class="method">
				97	<code class="details" id="close">close()</code>
				98	<pre>Close httplib2 connections.</pre>
				99	</div>
				100
				101	<div class="method">
				102	<code class="details" id="create">create(parent, body=None, executionId=None, x__xgafv=None)</code>
				103	<pre>Creates a new Scheduled Notebook in a given project and location.
				104
				105	Args:
				106	parent: string, Required. Format: `parent=projects/{project_id}/locations/{location}` (required)
				107	body: object, The request body.
				108	The object takes the form of:
				109
				110	{ # The definition of a single executed notebook.
				111	"createTime": "A String", # Output only. Time the Execution was instantiated.
				112	"description": "A String", # A brief description of this execution.
				113	"displayName": "A String", # Output only. Name used for UI purposes. Name can only contain alphanumeric characters and underscores '_'.
				114	"executionTemplate": { # The description a notebook execution workload. # execute metadata including name, hardware spec, region, labels, etc.
				115	"acceleratorConfig": { # Definition of a hardware accelerator. Note that not all combinations of `type` and `core_count` are valid. Check GPUs on Compute Engine to find a valid combination. TPUs are not supported. # Configuration (count and accelerator type) for hardware running notebook execution.
				116	"coreCount": "A String", # Count of cores of this accelerator.
				117	"type": "A String", # Type of this accelerator.
				118	},
				119	"containerImageUri": "A String", # Container Image URI to a DLVM Example: 'gcr.io/deeplearning-platform-release/base-cu100' More examples can be found at: https://cloud.google.com/ai-platform/deep-learning-containers/docs/choosing-container
yoshi-code-bot	cdf480e	2021-08-17 00:20:40 -0700	[diff] [blame^]	120	"dataprocParameters": { # Parameters used in Dataproc JobType executions. # Parameters used in Dataproc JobType executions.
				121	"cluster": "A String", # URI for cluster used to run Dataproc execution. Format: 'projects/{PROJECT_ID}/regions/{REGION}/clusters/{CLUSTER_NAME}
				122	},
yoshi-code-bot	b6dc1b9	2021-03-02 11:49:08 -0800	[diff] [blame]	123	"inputNotebookFile": "A String", # Path to the notebook file to execute. Must be in a Google Cloud Storage bucket. Format: gs://{project_id}/{folder}/{notebook_file_name} Ex: gs://notebook_user/scheduled_notebooks/sentiment_notebook.ipynb
yoshi-code-bot	cdf480e	2021-08-17 00:20:40 -0700	[diff] [blame^]	124	"jobType": "A String", # The type of Job to be used on this execution.
yoshi-code-bot	b6dc1b9	2021-03-02 11:49:08 -0800	[diff] [blame]	125	"labels": { # Labels for execution. If execution is scheduled, a field included will be 'nbs-scheduled'. Otherwise, it is an immediate execution, and an included field will be 'nbs-immediate'. Use fields to efficiently index between various types of executions.
				126	"a_key": "A String",
				127	},
				128	"masterType": "A String", # Specifies the type of virtual machine to use for your training job's master worker. You must specify this field when `scaleTier` is set to `CUSTOM`. You can use certain Compute Engine machine types directly in this field. The following types are supported: - `n1-standard-4` - `n1-standard-8` - `n1-standard-16` - `n1-standard-32` - `n1-standard-64` - `n1-standard-96` - `n1-highmem-2` - `n1-highmem-4` - `n1-highmem-8` - `n1-highmem-16` - `n1-highmem-32` - `n1-highmem-64` - `n1-highmem-96` - `n1-highcpu-16` - `n1-highcpu-32` - `n1-highcpu-64` - `n1-highcpu-96` Alternatively, you can use the following legacy machine types: - `standard` - `large_model` - `complex_model_s` - `complex_model_m` - `complex_model_l` - `standard_gpu` - `complex_model_m_gpu` - `complex_model_l_gpu` - `standard_p100` - `complex_model_m_p100` - `standard_v100` - `large_model_v100` - `complex_model_m_v100` - `complex_model_l_v100` Finally, if you want to use a TPU for training, specify `cloud_tpu` in this field. Learn more about the [special configuration options for training with TPU.
				129	"outputNotebookFolder": "A String", # Path to the notebook folder to write to. Must be in a Google Cloud Storage bucket path. Format: gs://{project_id}/{folder} Ex: gs://notebook_user/scheduled_notebooks
				130	"parameters": "A String", # Parameters used within the 'input_notebook_file' notebook.
				131	"paramsYamlFile": "A String", # Parameters to be overridden in the notebook during execution. Ref https://papermill.readthedocs.io/en/latest/usage-parameterize.html on how to specifying parameters in the input notebook and pass them here in an YAML file. Ex: gs://notebook_user/scheduled_notebooks/sentiment_notebook_params.yaml
yoshi-code-bot	0770807	2021-07-20 00:20:24 -0700	[diff] [blame]	132	"scaleTier": "A String", # Required. Scale tier of the hardware used for notebook execution. DEPRECATED Will be discontinued. As right now only CUSTOM is supported.
Anthonios Partheniou	10f4b67	2021-04-13 14:47:53 -0400	[diff] [blame]	133	"serviceAccount": "A String", # The email address of a service account to use when running the execution. You must have the `iam.serviceAccounts.actAs` permission for the specified service account.
yoshi-code-bot	b6dc1b9	2021-03-02 11:49:08 -0800	[diff] [blame]	134	},
yoshi-code-bot	0770807	2021-07-20 00:20:24 -0700	[diff] [blame]	135	"jobUri": "A String", # Output only. The URI of the external job used to execute the notebook.
yoshi-code-bot	b6dc1b9	2021-03-02 11:49:08 -0800	[diff] [blame]	136	"name": "A String", # Output only. The resource name of the execute. Format: `projects/{project_id}/locations/{location}/execution/{execution_id}
				137	"outputNotebookFile": "A String", # Output notebook file generated by this execution
				138	"state": "A String", # Output only. State of the underlying AI Platform job.
				139	"updateTime": "A String", # Output only. Time the Execution was last updated.
				140	}
				141
				142	executionId: string, Required. User-defined unique ID of this execution.
				143	x__xgafv: string, V1 error format.
				144	Allowed values
				145	1 - v1 error format
				146	2 - v2 error format
				147
				148	Returns:
				149	An object of the form:
				150
				151	{ # This resource represents a long-running operation that is the result of a network API call.
				152	"done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
				153	"error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
				154	"code": 42, # The status code, which should be an enum value of google.rpc.Code.
				155	"details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
				156	{
				157	"a_key": "", # Properties of the object. Contains field @type with type URL.
				158	},
				159	],
				160	"message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
				161	},
				162	"metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
				163	"a_key": "", # Properties of the object. Contains field @type with type URL.
				164	},
				165	"name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
				166	"response": { # The normal response of the operation in case of success. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
				167	"a_key": "", # Properties of the object. Contains field @type with type URL.
				168	},
				169	}</pre>
				170	</div>
				171
				172	<div class="method">
				173	<code class="details" id="delete">delete(name, x__xgafv=None)</code>
				174	<pre>Deletes execution
				175
				176	Args:
				177	name: string, Required. Format: `projects/{project_id}/locations/{location}/executions/{execution_id}` (required)
				178	x__xgafv: string, V1 error format.
				179	Allowed values
				180	1 - v1 error format
				181	2 - v2 error format
				182
				183	Returns:
				184	An object of the form:
				185
				186	{ # This resource represents a long-running operation that is the result of a network API call.
				187	"done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
				188	"error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
				189	"code": 42, # The status code, which should be an enum value of google.rpc.Code.
				190	"details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
				191	{
				192	"a_key": "", # Properties of the object. Contains field @type with type URL.
				193	},
				194	],
				195	"message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
				196	},
				197	"metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
				198	"a_key": "", # Properties of the object. Contains field @type with type URL.
				199	},
				200	"name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
				201	"response": { # The normal response of the operation in case of success. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
				202	"a_key": "", # Properties of the object. Contains field @type with type URL.
				203	},
				204	}</pre>
				205	</div>
				206
				207	<div class="method">
				208	<code class="details" id="get">get(name, x__xgafv=None)</code>
				209	<pre>Gets details of executions
				210
				211	Args:
yoshi-code-bot	b539cc4	2021-08-03 00:20:27 -0700	[diff] [blame]	212	name: string, Required. Format: `projects/{project_id}/locations/{location}/executions/{execution_id}` (required)
yoshi-code-bot	b6dc1b9	2021-03-02 11:49:08 -0800	[diff] [blame]	213	x__xgafv: string, V1 error format.
				214	Allowed values
				215	1 - v1 error format
				216	2 - v2 error format
				217
				218	Returns:
				219	An object of the form:
				220
				221	{ # The definition of a single executed notebook.
				222	"createTime": "A String", # Output only. Time the Execution was instantiated.
				223	"description": "A String", # A brief description of this execution.
				224	"displayName": "A String", # Output only. Name used for UI purposes. Name can only contain alphanumeric characters and underscores '_'.
				225	"executionTemplate": { # The description a notebook execution workload. # execute metadata including name, hardware spec, region, labels, etc.
				226	"acceleratorConfig": { # Definition of a hardware accelerator. Note that not all combinations of `type` and `core_count` are valid. Check GPUs on Compute Engine to find a valid combination. TPUs are not supported. # Configuration (count and accelerator type) for hardware running notebook execution.
				227	"coreCount": "A String", # Count of cores of this accelerator.
				228	"type": "A String", # Type of this accelerator.
				229	},
				230	"containerImageUri": "A String", # Container Image URI to a DLVM Example: 'gcr.io/deeplearning-platform-release/base-cu100' More examples can be found at: https://cloud.google.com/ai-platform/deep-learning-containers/docs/choosing-container
yoshi-code-bot	cdf480e	2021-08-17 00:20:40 -0700	[diff] [blame^]	231	"dataprocParameters": { # Parameters used in Dataproc JobType executions. # Parameters used in Dataproc JobType executions.
				232	"cluster": "A String", # URI for cluster used to run Dataproc execution. Format: 'projects/{PROJECT_ID}/regions/{REGION}/clusters/{CLUSTER_NAME}
				233	},
yoshi-code-bot	b6dc1b9	2021-03-02 11:49:08 -0800	[diff] [blame]	234	"inputNotebookFile": "A String", # Path to the notebook file to execute. Must be in a Google Cloud Storage bucket. Format: gs://{project_id}/{folder}/{notebook_file_name} Ex: gs://notebook_user/scheduled_notebooks/sentiment_notebook.ipynb
yoshi-code-bot	cdf480e	2021-08-17 00:20:40 -0700	[diff] [blame^]	235	"jobType": "A String", # The type of Job to be used on this execution.
yoshi-code-bot	b6dc1b9	2021-03-02 11:49:08 -0800	[diff] [blame]	236	"labels": { # Labels for execution. If execution is scheduled, a field included will be 'nbs-scheduled'. Otherwise, it is an immediate execution, and an included field will be 'nbs-immediate'. Use fields to efficiently index between various types of executions.
				237	"a_key": "A String",
				238	},
				239	"masterType": "A String", # Specifies the type of virtual machine to use for your training job's master worker. You must specify this field when `scaleTier` is set to `CUSTOM`. You can use certain Compute Engine machine types directly in this field. The following types are supported: - `n1-standard-4` - `n1-standard-8` - `n1-standard-16` - `n1-standard-32` - `n1-standard-64` - `n1-standard-96` - `n1-highmem-2` - `n1-highmem-4` - `n1-highmem-8` - `n1-highmem-16` - `n1-highmem-32` - `n1-highmem-64` - `n1-highmem-96` - `n1-highcpu-16` - `n1-highcpu-32` - `n1-highcpu-64` - `n1-highcpu-96` Alternatively, you can use the following legacy machine types: - `standard` - `large_model` - `complex_model_s` - `complex_model_m` - `complex_model_l` - `standard_gpu` - `complex_model_m_gpu` - `complex_model_l_gpu` - `standard_p100` - `complex_model_m_p100` - `standard_v100` - `large_model_v100` - `complex_model_m_v100` - `complex_model_l_v100` Finally, if you want to use a TPU for training, specify `cloud_tpu` in this field. Learn more about the [special configuration options for training with TPU.
				240	"outputNotebookFolder": "A String", # Path to the notebook folder to write to. Must be in a Google Cloud Storage bucket path. Format: gs://{project_id}/{folder} Ex: gs://notebook_user/scheduled_notebooks
				241	"parameters": "A String", # Parameters used within the 'input_notebook_file' notebook.
				242	"paramsYamlFile": "A String", # Parameters to be overridden in the notebook during execution. Ref https://papermill.readthedocs.io/en/latest/usage-parameterize.html on how to specifying parameters in the input notebook and pass them here in an YAML file. Ex: gs://notebook_user/scheduled_notebooks/sentiment_notebook_params.yaml
yoshi-code-bot	0770807	2021-07-20 00:20:24 -0700	[diff] [blame]	243	"scaleTier": "A String", # Required. Scale tier of the hardware used for notebook execution. DEPRECATED Will be discontinued. As right now only CUSTOM is supported.
Anthonios Partheniou	10f4b67	2021-04-13 14:47:53 -0400	[diff] [blame]	244	"serviceAccount": "A String", # The email address of a service account to use when running the execution. You must have the `iam.serviceAccounts.actAs` permission for the specified service account.
yoshi-code-bot	b6dc1b9	2021-03-02 11:49:08 -0800	[diff] [blame]	245	},
yoshi-code-bot	0770807	2021-07-20 00:20:24 -0700	[diff] [blame]	246	"jobUri": "A String", # Output only. The URI of the external job used to execute the notebook.
yoshi-code-bot	b6dc1b9	2021-03-02 11:49:08 -0800	[diff] [blame]	247	"name": "A String", # Output only. The resource name of the execute. Format: `projects/{project_id}/locations/{location}/execution/{execution_id}
				248	"outputNotebookFile": "A String", # Output notebook file generated by this execution
				249	"state": "A String", # Output only. State of the underlying AI Platform job.
				250	"updateTime": "A String", # Output only. Time the Execution was last updated.
				251	}</pre>
				252	</div>
				253
				254	<div class="method">
				255	<code class="details" id="list">list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)</code>
				256	<pre>Lists executions in a given project and location
				257
				258	Args:
				259	parent: string, Required. Format: `parent=projects/{project_id}/locations/{location}` (required)
yoshi-code-bot	9e2cde2	2021-04-29 03:48:05 -0700	[diff] [blame]	260	filter: string, Filter applied to resulting executions. Currently only supports filtering executions by a specified schedule_id. Format: "schedule_id="
yoshi-code-bot	b6dc1b9	2021-03-02 11:49:08 -0800	[diff] [blame]	261	orderBy: string, Sort by field.
				262	pageSize: integer, Maximum return size of the list call.
				263	pageToken: string, A previous returned page token that can be used to continue listing from the last result.
				264	x__xgafv: string, V1 error format.
				265	Allowed values
				266	1 - v1 error format
				267	2 - v2 error format
				268
				269	Returns:
				270	An object of the form:
				271
				272	{ # Response for listing scheduled notebook executions
				273	"executions": [ # A list of returned instances.
				274	{ # The definition of a single executed notebook.
				275	"createTime": "A String", # Output only. Time the Execution was instantiated.
				276	"description": "A String", # A brief description of this execution.
				277	"displayName": "A String", # Output only. Name used for UI purposes. Name can only contain alphanumeric characters and underscores '_'.
				278	"executionTemplate": { # The description a notebook execution workload. # execute metadata including name, hardware spec, region, labels, etc.
				279	"acceleratorConfig": { # Definition of a hardware accelerator. Note that not all combinations of `type` and `core_count` are valid. Check GPUs on Compute Engine to find a valid combination. TPUs are not supported. # Configuration (count and accelerator type) for hardware running notebook execution.
				280	"coreCount": "A String", # Count of cores of this accelerator.
				281	"type": "A String", # Type of this accelerator.
				282	},
				283	"containerImageUri": "A String", # Container Image URI to a DLVM Example: 'gcr.io/deeplearning-platform-release/base-cu100' More examples can be found at: https://cloud.google.com/ai-platform/deep-learning-containers/docs/choosing-container
yoshi-code-bot	cdf480e	2021-08-17 00:20:40 -0700	[diff] [blame^]	284	"dataprocParameters": { # Parameters used in Dataproc JobType executions. # Parameters used in Dataproc JobType executions.
				285	"cluster": "A String", # URI for cluster used to run Dataproc execution. Format: 'projects/{PROJECT_ID}/regions/{REGION}/clusters/{CLUSTER_NAME}
				286	},
yoshi-code-bot	b6dc1b9	2021-03-02 11:49:08 -0800	[diff] [blame]	287	"inputNotebookFile": "A String", # Path to the notebook file to execute. Must be in a Google Cloud Storage bucket. Format: gs://{project_id}/{folder}/{notebook_file_name} Ex: gs://notebook_user/scheduled_notebooks/sentiment_notebook.ipynb
yoshi-code-bot	cdf480e	2021-08-17 00:20:40 -0700	[diff] [blame^]	288	"jobType": "A String", # The type of Job to be used on this execution.
yoshi-code-bot	b6dc1b9	2021-03-02 11:49:08 -0800	[diff] [blame]	289	"labels": { # Labels for execution. If execution is scheduled, a field included will be 'nbs-scheduled'. Otherwise, it is an immediate execution, and an included field will be 'nbs-immediate'. Use fields to efficiently index between various types of executions.
				290	"a_key": "A String",
				291	},
				292	"masterType": "A String", # Specifies the type of virtual machine to use for your training job's master worker. You must specify this field when `scaleTier` is set to `CUSTOM`. You can use certain Compute Engine machine types directly in this field. The following types are supported: - `n1-standard-4` - `n1-standard-8` - `n1-standard-16` - `n1-standard-32` - `n1-standard-64` - `n1-standard-96` - `n1-highmem-2` - `n1-highmem-4` - `n1-highmem-8` - `n1-highmem-16` - `n1-highmem-32` - `n1-highmem-64` - `n1-highmem-96` - `n1-highcpu-16` - `n1-highcpu-32` - `n1-highcpu-64` - `n1-highcpu-96` Alternatively, you can use the following legacy machine types: - `standard` - `large_model` - `complex_model_s` - `complex_model_m` - `complex_model_l` - `standard_gpu` - `complex_model_m_gpu` - `complex_model_l_gpu` - `standard_p100` - `complex_model_m_p100` - `standard_v100` - `large_model_v100` - `complex_model_m_v100` - `complex_model_l_v100` Finally, if you want to use a TPU for training, specify `cloud_tpu` in this field. Learn more about the [special configuration options for training with TPU.
				293	"outputNotebookFolder": "A String", # Path to the notebook folder to write to. Must be in a Google Cloud Storage bucket path. Format: gs://{project_id}/{folder} Ex: gs://notebook_user/scheduled_notebooks
				294	"parameters": "A String", # Parameters used within the 'input_notebook_file' notebook.
				295	"paramsYamlFile": "A String", # Parameters to be overridden in the notebook during execution. Ref https://papermill.readthedocs.io/en/latest/usage-parameterize.html on how to specifying parameters in the input notebook and pass them here in an YAML file. Ex: gs://notebook_user/scheduled_notebooks/sentiment_notebook_params.yaml
yoshi-code-bot	0770807	2021-07-20 00:20:24 -0700	[diff] [blame]	296	"scaleTier": "A String", # Required. Scale tier of the hardware used for notebook execution. DEPRECATED Will be discontinued. As right now only CUSTOM is supported.
Anthonios Partheniou	10f4b67	2021-04-13 14:47:53 -0400	[diff] [blame]	297	"serviceAccount": "A String", # The email address of a service account to use when running the execution. You must have the `iam.serviceAccounts.actAs` permission for the specified service account.
yoshi-code-bot	b6dc1b9	2021-03-02 11:49:08 -0800	[diff] [blame]	298	},
yoshi-code-bot	0770807	2021-07-20 00:20:24 -0700	[diff] [blame]	299	"jobUri": "A String", # Output only. The URI of the external job used to execute the notebook.
yoshi-code-bot	b6dc1b9	2021-03-02 11:49:08 -0800	[diff] [blame]	300	"name": "A String", # Output only. The resource name of the execute. Format: `projects/{project_id}/locations/{location}/execution/{execution_id}
				301	"outputNotebookFile": "A String", # Output notebook file generated by this execution
				302	"state": "A String", # Output only. State of the underlying AI Platform job.
				303	"updateTime": "A String", # Output only. Time the Execution was last updated.
				304	},
				305	],
				306	"nextPageToken": "A String", # Page token that can be used to continue listing from the last result in the next list call.
				307	"unreachable": [ # Executions IDs that could not be reached. For example, ['projects/{project_id}/location/{location}/executions/imagenet_test1', 'projects/{project_id}/location/{location}/executions/classifier_train1'].
				308	"A String",
				309	],
				310	}</pre>
				311	</div>
				312
				313	<div class="method">
				314	<code class="details" id="list_next">list_next(previous_request, previous_response)</code>
				315	<pre>Retrieves the next page of results.
				316
				317	Args:
				318	previous_request: The request for the previous page. (required)
				319	previous_response: The response from the request for the previous page. (required)
				320
				321	Returns:
				322	A request object that you can call 'execute()' on to request the next
				323	page. Returns None if there are no more items in the collection.
				324	</pre>
				325	</div>
				326
				327	</body></html>