move float8 callsites to torchao.float8 (pytorch#492)

Summary:

The `float8_experimental` repository moved to `torchao.float8` in
pytorch/ao#551

This PR updates `torchtitan` to use float8 from the new location.

Test Plan:

```
with-proxy CONFIG_FILE="./train_configs/debug_model.toml" ./run_llama_train.sh --training.enable_float8_linear --training.compile
```

Reviewers:

Subscribers:

Tasks:

Tags:

.github/workflows/integration_test_4gpu.yaml

@@ -39,6 +39,6 @@ jobs:
 
         python -m pip install --force-reinstall --pre torch --index-url https://download.pytorch.org/whl/nightly/cu121
         python -m pip install --pre torchdata --index-url https://download.pytorch.org/whl/nightly/
-        python -m pip install git+https://github.com/pytorch-labs/float8_experimental.git
+        USE_CPP=0 python -m pip install git+https://github.com/pytorch/ao.git
         mkdir artifacts-to-be-uploaded
         python ./test_runner.py artifacts-to-be-uploaded --ngpu 4

torchtitan/config_manager.py

@@ -353,8 +353,8 @@ def __init__(self):
             action="store_true",
             help="""
                 If true, swaps `torch.nn.Linear` with `Float8Linear`.
-                This feature requires you to install 'float8_experimental' which can be found
-                here: https://github.com/pytorch-labs/float8_experimental
+                This feature requires you to install 'torchao' which can be found
+                here: https://github.com/pytorch/ao
             """,
         )
         self.parser.add_argument(

torchtitan/float8_linear.py

@@ -4,11 +4,11 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
-# [Note] Getting the 'float8_experimental' package:
-# This script requires the 'float8_experimental' package to function correctly.
+# [Note] Getting the 'torchao' package:
+# This script requires the 'torchao' package to function correctly.
 # Please ensure you have this package installed from the appropriate repository.
-# You can obtain it from https://github.com/pytorch-labs/float8_experimental.
-# Either clone and run `pip install .` or run `pip install git+https://github.com/pytorch-labs/float8_experimental.git`
+# You can obtain it from https://github.com/pytorch/ao by following the
+# installation instructions.
 
 # Note: Performance
 # Float8 experimental is intended to be ran under `torch.compile`` for competitive performance
@@ -48,7 +48,7 @@ def maybe_build_fp8_linear(
         )
         return
     try:
-        from float8_experimental import (
+        from torchao.float8 import (
             CastConfig,
             convert_to_float8_training,
             Float8LinearConfig,
@@ -83,7 +83,7 @@ def maybe_build_fp8_linear(
         )
     except ImportError as exc:
         raise ImportError(
-            "float8_experimental is not installed. Please install it to use fp8 linear layers."
+            "torchao is not installed. Please install it to use fp8 linear layers."
         ) from exc
 
 
@@ -102,7 +102,7 @@ def maybe_precompute_fp8_dynamic_scale_for_fsdp(
             "Skipped precomputing fp8 scales because SM90 or later is not available",
         )
         return
-    from float8_experimental import precompute_float8_dynamic_scale_for_fsdp
+    from torchao.float8 import precompute_float8_dynamic_scale_for_fsdp
 
     precompute_float8_dynamic_scale_for_fsdp(model)
 
@@ -121,7 +121,7 @@ def maybe_sync_float8_amax_and_scale_history(model: nn.Module, job_config: JobCo
     ):
         return
 
-    from float8_experimental import sync_float8_amax_and_scale_history
+    from torchao.float8 import sync_float8_amax_and_scale_history
 
     # TODO(future): see if precalculating the modules to sync over is going to
     # meaningfully help performance

torchtitan/parallelisms/parallelize_llama.py

@@ -129,7 +129,9 @@ def get_tp_parallel_strategy_for_transformer_block(
         # TODO(future PR): once float8 configuration supports delayed
         # scaling, add a check here to enforce supported float8 all-gather
         # configurations
-        from float8_experimental.float8_tensor_parallel import (
+        # TODO(future PR): add the items below to __init__.py of torchao.float8,
+        # and import from there
+        from torchao.float8.float8_tensor_parallel import (
             Float8ColwiseParallel,
             Float8RowwiseParallel,
             PrepareFloat8ModuleInput,