[PyTorch] Activation offloading refactor (#1762)

* init
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* offloading
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* fixes
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* all types
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* typo
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* fix
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* init
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* api change
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* code drop
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* refactor
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* tests
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* code drop
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* fixes
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* fix
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* fix
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* example
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* fixes
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* cpu offload + debug warning
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* fixes
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* fix
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* test
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* fix
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* fixes
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* fix
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* fixes
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* fix
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* fix
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* fix
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* fixes
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* change empty_like implementation to use make_like
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* fix
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* main_grad fix
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* manual synchornization
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* fix
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* old path
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* remove example
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* api changes
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* reverted grouped linear
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* make odl code path work for modules
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* attention old code path
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* legacy tests
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* legacy tests
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* fix
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* fix
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* updated code path
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* fix
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* fix
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* fix
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* fix
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* fix
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* fix
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* fixes
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* Update transformer_engine/pytorch/tensor/quantized_tensor.py
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* fix
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* nvfp4 support
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* fix
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* fix
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* fix
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* fixes
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* fixes
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* fix
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* fixes
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* fix
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* fixes
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* Update tests/pytorch/test_cpu_offloading.py
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* small fix
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* fix
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* fix
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* fix
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* docs change
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* fix
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* fix
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* fix
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---------
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>
Signed-off-by: Paweł Gadziński <62263673+pggPL@users.noreply.github.com>
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transformer_engine/pytorch/tensor/storage/mxfp8_tensor_storage.py

@@ -254,3 +254,10 @@ class MXFP8TensorStorage(QuantizedTensorStorage):
         else:
             self._columnwise_data = None
             self._columnwise_scale_inv = None
+
+    def get_usages(self) -> Tuple[bool, bool]:
+        """Get the usage of the tensor"""
+        return {
+            "rowwise": self._rowwise_data is not None,
+            "columnwise": self._columnwise_data is not None,
+        }