Adding option for TE Dot with BF16 + unittest

src/MaxText/configs/types.py

@@ -78,6 +78,7 @@ class QuantizationType(str, Enum):
   FP8_NANO_V2 = "fp8_nanoo"
   FP8_GPU = "fp8_gpu"
   FP8_FULL = "fp8_full"
+  TE = "te_noscaling"
   TE_FP8_DS = "te_fp8_delayedscaling"
   TE_FP8_CS = "te_fp8_currentscaling"
   TE_MXFP8 = "te_mxfp8"
@@ -1780,7 +1781,10 @@ def calculate_global_batch_sizes(per_device_batch_size, expansion_factor, num_de
         self.global_batch_size_to_eval_on,
         self.micro_batch_size_to_eval_on,
     ) = calculate_global_batch_sizes(
-        self.eval_per_device_batch_size, self.expansion_factor_real_data, self.num_target_devices, 1
+        self.eval_per_device_batch_size,
+        self.expansion_factor_real_data,
+        self.num_target_devices,
+        1,
     )
 
     # Calculate ramp-up batch size parameters if enabled.

src/MaxText/layers/quantizations.py

@@ -748,14 +748,17 @@ def _get_recipe(recipe_name: str):
     from transformer_engine.common import recipe  # pylint: disable=import-outside-toplevel # pytype: disable=import-error
 
     RECIPES = {
+        "te_noscaling": None,
         "te_fp8_delayedscaling": recipe.DelayedScaling,
         "te_fp8_currentscaling": recipe.Float8CurrentScaling,
         "te_mxfp8": recipe.MXFP8BlockScaling,
         "te_nvfp4": recipe.NVFP4BlockScaling,  # pytype: disable=module-attr
     }
     if recipe_name not in RECIPES:
       raise ValueError(f"Invalid TransformerEngine recipe: {recipe_name}")
-    return RECIPES[recipe_name]()
+
+    te_recipe = RECIPES[recipe_name]
+    return te_recipe() if te_recipe is not None else None
 
   def get_block_size(self):
     """Get the block size for quantization for recipes that require blocks.

tests/integration_tests/train_tests.py

@@ -109,6 +109,18 @@ class TrainTests(unittest.TestCase):
           "enable_goodput_recording=False",
           rf"tokenizer_path={os.path.join(MAXTEXT_ASSETS_ROOT, 'tokenizer.llama2')}",
       ],
+      "te_noscaling": [  # tests base config with te_noscaling i.e. BF16
+          None,
+          os.path.join(MAXTEXT_PKG_DIR, "configs", "base.yml"),
+          "base_output_directory=gs://runner-maxtext-logs",
+          "run_name=runner_test",
+          "dataset_path=gs://maxtext-dataset",
+          "quantization=te_noscaling",
+          "steps=2",
+          "enable_checkpointing=False",
+          "enable_goodput_recording=False",
+          rf"tokenizer_path={os.path.join(MAXTEXT_ASSETS_ROOT, 'tokenizer.llama2')}",
+      ],
       "te_fp8_delayedscaling": [  # tests base config with te_fp8_delayedscaling
           None,
           os.path.join(MAXTEXT_PKG_DIR, "configs", "base.yml"),
@@ -234,6 +246,11 @@ def test_gpu_fp8(self):
   def test_gpu_nanoo_fp8(self):
     train_main(TrainTests.CONFIGS["nanoo_fp8"] + ["attention=dot_product"])
 
+  @pytest.mark.integration_test
+  @pytest.mark.gpu_only
+  def test_gpu_te_noscaling(self):
+    train_main(TrainTests.CONFIGS["te_noscaling"] + ["attention=cudnn_flash_te"])
+
   @pytest.mark.skip(reason="No runner with GPU arch >= 89 is available")
   @pytest.mark.integration_test
   @pytest.mark.gpu_only