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https://issues.apache.org/jira/browse/MAHOUT-878?focusedWorklogId=1000976&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-1000976
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ASF GitHub Bot logged work on MAHOUT-878:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 20/Jan/26 12:08
Start Date: 20/Jan/26 12:08
Worklog Time Spent: 10m
Work Description: ryankert01 commented on code in PR #881:
URL: https://github.com/apache/mahout/pull/881#discussion_r2708079334
##########
qdp/qdp-python/src/lib.rs:
##########
@@ -152,7 +152,7 @@ fn is_pytorch_tensor(obj: &Bound<'_, PyAny>) ->
PyResult<bool> {
Ok(module_name == "torch")
}
-/// Helper to validate tensor
+/// Helper to validate CPU tensor
fn validate_tensor(tensor: &Bound<'_, PyAny>) -> PyResult<()> {
Review Comment:
Do you mean we can identify tensor on gpu or cpu, if cpu, we
can:`tensor.to("cuda")` and go to gpu tensor path?
Issue Time Tracking
-------------------
Worklog Id: (was: 1000976)
Time Spent: 2h (was: 1h 50m)
> Provide better examples for the parallel ALS recommender code
> -------------------------------------------------------------
>
> Key: MAHOUT-878
> URL: https://issues.apache.org/jira/browse/MAHOUT-878
> Project: Mahout
> Issue Type: Task
> Affects Versions: 1.0.0
> Reporter: Sebastian Schelter
> Assignee: Sebastian Schelter
> Priority: Major
> Fix For: 0.6
>
> Attachments: MAHOUT-878.patch
>
> Time Spent: 2h
> Remaining Estimate: 0h
>
> We should provide examples that show how to apply the parallel ALS
> recommender to the Netflix or KDD2011 datasets.
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