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pytorch-bot bot commented Sep 12, 2025

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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/162853

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@pytorch-bot pytorch-bot bot added oncall: distributed Add this issue/PR to distributed oncall triage queue topic: not user facing topic category labels Sep 12, 2025
anshul-si added a commit that referenced this pull request Sep 12, 2025
@anshul-si anshul-si added the ciflow/trunk Trigger trunk jobs on your pull request label Sep 12, 2025
**Summary:** Proof that new replicate API is composable with TP

**Test Case**
1. pytest test/distributed/_composable/test_replicate_training.py -k test_replicate_tp




cc H-Huang awgu wanchaol fegin fduwjj wz337 wconstab d4l3k pragupta ezyang msaroufim dcci

[ghstack-poisoned]
**Summary:** Proof that new replicate API is composable with TP

**Test Case**
1. pytest test/distributed/_composable/test_replicate_training.py -k test_replicate_tp




cc H-Huang awgu wanchaol fegin fduwjj wz337 wconstab d4l3k pragupta ezyang msaroufim dcci

[ghstack-poisoned]
@anshul-si anshul-si requested a review from mori360 September 18, 2025 01:04
**Summary:** Proof that new replicate API is composable with TP

**Test Case**
1. pytest test/distributed/_composable/test_replicate_training.py -k test_replicate_tp




cc H-Huang awgu wanchaol fegin fduwjj wz337 wconstab d4l3k pragupta ezyang msaroufim dcci

[ghstack-poisoned]
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pytorchmergebot pushed a commit that referenced this pull request Sep 30, 2025
…sion (#162855)

**Summary:** Ensures that replicate functionality works the same as fully shard's when mixed precision is used

**Test Cases**
1. pytest test/distributed/_composable/test_replicate_mixed_precision.py -k TestReplicateMixedPrecisionTraining

Pull Request resolved: #162855
Approved by: https://github.com/mori360
ghstack dependencies: #162830, #162836, #162839, #162851, #162853
pytorchmergebot pushed a commit that referenced this pull request Sep 30, 2025
…s in mixed precision (#162861)

**Summary:** Ensures that replicate can handle the same type casting behavior and edge cases that fully shard can when mixed precision is used

**Test Cases**
1. pytest test/distributed/_composable/test_replicate_mixed_precision.py -k test_float16_on_one_submodule
2. pytest test/distributed/_composable/test_replicate_mixed_precision.py -k test_submodules_with_external_inputs
3. pytest test/distributed/_composable/test_replicate_mixed_precision.py -k test_norm_modules_bf16
4. pytest test/distributed/_composable/test_replicate_mixed_precision.py -k test_norm_modules_fp16
5. pytest test/distributed/_composable/test_replicate_mixed_precision.py -k test_clamp_reduce_dtype
6. pytest test/distributed/_composable/test_replicate_mixed_precision.py -k test_dataclass_input

Pull Request resolved: #162861
Approved by: https://github.com/mori360
ghstack dependencies: #162830, #162836, #162839, #162851, #162853, #162855
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