mirror of
https://github.com/clearml/clearml-docs
synced 2025-02-07 05:20:07 +00:00
small edits (#978)
This commit is contained in:
parent
952d8acc6b
commit
1e9afa0a64
@ -364,7 +364,7 @@ order, number, timing, and reproducibility of frames for training.
|
|||||||
#### Iterate Frames Infinitely
|
#### Iterate Frames Infinitely
|
||||||
|
|
||||||
This example demonstrates creating a Dataview and setting its parameters to iterate infinitely until the script is
|
This example demonstrates creating a Dataview and setting its parameters to iterate infinitely until the script is
|
||||||
manually terminated.
|
manually terminated:
|
||||||
|
|
||||||
```python
|
```python
|
||||||
# Create a Dataview object for an iterator that returns frames
|
# Create a Dataview object for an iterator that returns frames
|
||||||
@ -375,7 +375,7 @@ myDataView.set_iteration_parameters(order=IterationOrder.random, infinite=True)
|
|||||||
```
|
```
|
||||||
|
|
||||||
#### Iterate All Frames Matching the Query
|
#### Iterate All Frames Matching the Query
|
||||||
This example demonstrates creating a DataView and setting its parameters to iterate and return all frames matching a query.
|
This example demonstrates creating a DataView and setting its parameters to iterate and return all frames matching a query:
|
||||||
|
|
||||||
```python
|
```python
|
||||||
# Create a Dataview object for an iterator for frames
|
# Create a Dataview object for an iterator for frames
|
||||||
@ -504,7 +504,7 @@ certain labels for training.
|
|||||||
|
|
||||||
This example demonstrates consolidating two disparate Datasets. Two Dataset versions use `car` (lower case "c"), but the
|
This example demonstrates consolidating two disparate Datasets. Two Dataset versions use `car` (lower case "c"), but the
|
||||||
third uses `Car` (upper case "C").
|
third uses `Car` (upper case "C").
|
||||||
The example maps `Car` (upper case "C") to `car` (lower case "c").
|
The example maps `Car` (upper case "C") to `car` (lower case "c"):
|
||||||
|
|
||||||
```python
|
```python
|
||||||
# Create a Dataview object for an iterator that randomly returns frames according to queries
|
# Create a Dataview object for an iterator that randomly returns frames according to queries
|
||||||
@ -551,9 +551,9 @@ my_dataview = DataView.get(dataview_id='<dataview_id>')
|
|||||||
|
|
||||||
Access the Dataview's frames as a python list, dictionary, or through a pythonic iterator.
|
Access the Dataview's frames as a python list, dictionary, or through a pythonic iterator.
|
||||||
|
|
||||||
The [`DataView.to_list`](../references/hyperdataset/dataview.md#to_list) method returns the Dataview queries result as a python list.
|
[`DataView.to_list()`](../references/hyperdataset/dataview.md#to_list) returns the Dataview queries result as a Python list.
|
||||||
|
|
||||||
The [`DataView.to_dict`](../references/hyperdataset/dataview.md#to_dict) method returns a list of dictionaries, where each dictionary represents a frame. Use the
|
[`DataView.to_dict()`](../references/hyperdataset/dataview.md#to_dict) returns a list of dictionaries, where each dictionary represents a frame. Use the
|
||||||
`projection` parameter to specify a subset of the frame fields to be included in the result. Input a list of strings,
|
`projection` parameter to specify a subset of the frame fields to be included in the result. Input a list of strings,
|
||||||
where each string represents a frame field or subfield (using dot-separated notation).
|
where each string represents a frame field or subfield (using dot-separated notation).
|
||||||
|
|
||||||
|
@ -20,10 +20,10 @@ If the ClearML AI application Gateway is not available, the model endpoint might
|
|||||||
|
|
||||||
After starting a llama.cpp Model Deployment instance, you can view the following information in its dashboard:
|
After starting a llama.cpp Model Deployment instance, you can view the following information in its dashboard:
|
||||||
* Status indicator
|
* Status indicator
|
||||||
* <img src="/docs/latest/icons/ico-llama-active.svg" alt="Active server" className="icon size-md space-sm" /> - App instance is running and is actively in use
|
* <img src="/docs/latest/icons/ico-llama-active.svg" alt="Active server" className="icon size-lg space-sm" /> - App instance is running and is actively in use
|
||||||
* <img src="/docs/latest/icons/ico-llama-loading.svg" alt="Loading server" className="icon size-md space-sm" /> - App instance is setting up
|
* <img src="/docs/latest/icons/ico-llama-loading.svg" alt="Loading server" className="icon size-lg space-sm" /> - App instance is setting up
|
||||||
* <img src="/docs/latest/icons/ico-llama-idle.svg" alt="Idle server" className="icon size-md space-sm" /> - App instance is idle
|
* <img src="/docs/latest/icons/ico-llama-idle.svg" alt="Idle server" className="icon size-lg space-sm" /> - App instance is idle
|
||||||
* <img src="/docs/latest/icons/ico-llama-stopped.svg" alt="Stopped server" className="icon size-md space-sm" /> - App instance is stopped
|
* <img src="/docs/latest/icons/ico-llama-stopped.svg" alt="Stopped server" className="icon size-lg space-sm" /> - App instance is stopped
|
||||||
* Idle time - Time elapsed since last activity
|
* Idle time - Time elapsed since last activity
|
||||||
* App - The publicly accessible URL of the model endpoint. Active model endpoints are also available in the
|
* App - The publicly accessible URL of the model endpoint. Active model endpoints are also available in the
|
||||||
[Model Endpoints](../webapp_model_endpoints.md) table, which allows you to view and compare endpoint details and
|
[Model Endpoints](../webapp_model_endpoints.md) table, which allows you to view and compare endpoint details and
|
||||||
|
Loading…
Reference in New Issue
Block a user