Drop PyTorch 2.1 version check from fabric strategies (NVIDIA#10079)

* rm torch version check Signed-off-by: Farhad Ramezanghorbani <[email protected]> * bump min torch version Signed-off-by: Farhad Ramezanghorbani <[email protected]> * rm version Signed-off-by: Farhad Ramezanghorbani <[email protected]> --------- Signed-off-by: Farhad Ramezanghorbani <[email protected]> Co-authored-by: Marc Romeyn <[email protected]> Signed-off-by: adityavavre <[email protected]>
adityavavre · Sep 15, 2024 · c713644 · c713644
1 parent e9c970a
commit c713644
Showing 1 changed file with 1 addition and 2 deletions.
diff --git a/nemo/lightning/fabric/strategies.py b/nemo/lightning/fabric/strategies.py
@@ -23,7 +23,6 @@
 from lightning_fabric.plugins.precision import Precision
 from lightning_fabric.strategies import DDPStrategy
 from lightning_fabric.strategies.strategy import _validate_keys_for_strict_loading
-from lightning_fabric.utilities.imports import _TORCH_GREATER_EQUAL_2_1
 from lightning_fabric.utilities.types import _PATH, _Stateful
 from megatron.core.distributed import DistributedDataParallelConfig
 from pytorch_lightning.loops.fetchers import _DataFetcher
@@ -208,7 +207,7 @@ def module_init_context(self, empty_init: Optional[bool] = None) -> ContextManag
         precision_init_ctx = self.precision.module_init_context()
         module_sharded_ctx = self.megatron_context()
         stack = ExitStack()
-        if _TORCH_GREATER_EQUAL_2_1 and empty_init:
+        if empty_init:
             # Materialization happens in `setup`. When modules get wrapped by FSDP, the sequence of operations is:
             # 1) materialize module 2) call `reset_parameters()` 3) shard the module.
             # These operations are applied to each submodule 'bottom up' in the module hierarchy.