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Remove "track_features" from cpuonly conda package
#823
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c5d0396
Add pytorch-mutex metapackage to choose PyTorch build variant
IvanYashchuk 39eac88
Use run_constrained with cpuonly
IvanYashchuk c93f858
Fix missing \ and remove OVERRIDE_PACKAGE_VERSION
IvanYashchuk 6bdd93c
Merge branch 'master' into pytorch-mutex
IvanYashchuk 570b7ca
Restore track_features in cpuonly/meta.yaml
IvanYashchuk a3909be
Merge branch 'main' into pytorch-mutex
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,8 +1,12 @@ | ||
| package: | ||
| name: cpuonly | ||
| version: 1.0 | ||
| version: 2.0 | ||
|
|
||
| build: | ||
| track_features: | ||
| - cpuonly | ||
| noarch: generic | ||
|
|
||
| requirements: | ||
| run: | ||
| - pytorch-mutex 1.0 cpu | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,3 @@ | ||
| build_variant: | ||
| - cpu | ||
| - cuda |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,29 @@ | ||
| {% set version = "1.0" %} | ||
| {% set build = 0 %} | ||
|
|
||
| {% if build_variant == 'cuda' %} | ||
| # prefer cuda builds via a build number offset | ||
| {% set build = build + 100 %} | ||
| {% endif %} | ||
|
|
||
| package: | ||
| name: pytorch-mutex | ||
| version: {{ version }} | ||
| build: | ||
| number: {{ build }} | ||
| string: {{ build_variant }} | ||
| noarch: generic | ||
| # also lower cpu priority with track_features | ||
| {% if build_variant == 'cpu' %} | ||
| track_features: | ||
| - pytorch-mutex | ||
| {% endif %} | ||
| run_exports: | ||
| - {{ pin_subpackage('pytorch-mutex', exact=True) }} | ||
| requirements: {} | ||
| # None, pytorch should depend on pytorch-mutex | ||
| test: | ||
| commands: | ||
| - echo "pytorch-mutex metapackage is created." | ||
| about: | ||
| summary: Metapackage to select the PyTorch variant. Use conda's pinning mechanism in your environment to control which variant you want. |
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An alternative option to
pytorch-mutex 1.0 cpuis to usepytorch=*=*cpu*. However, runningprefers the main channel
So I think using
pytorch=*=*cpu*forcpuonlypackage could break conda.mambachooses the pytorch channel