Enable sdpa backends for server export in export.py

.github/workflows/more-tests.yml

@@ -19,6 +19,7 @@ jobs:
       gpu-arch-version: "12.4"
       timeout: 60
       script: |
+        set -xeou pipefail
         echo "::group::Print machine info"
         uname -a
         echo "::endgroup::"
@@ -39,9 +40,10 @@ jobs:
         echo "::endgroup::"
 
         echo "::group::Run inference"
-        export MODEL_PATH=checkpoints/stories15M/stories15M.pt
+        export MODEL_DIR=checkpoints/stories15M/
+        export MODEL_PATH=${MODEL_DIR}/stories15M.pt
         export MODEL_NAME=stories15M
-        export MODEL_DIR=/tmp
+
 
         for DTYPE in bfloat16 float16 float32; do
           ###################################################################
@@ -83,3 +85,66 @@ jobs:
         echo "tests complete"
         echo "******************************************"
         echo "::endgroup::"
+
+
+  test-sdpa-backends-export:
+    permissions:
+      id-token: write
+      contents: read
+    uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
+    with:
+      runner: linux.g5.4xlarge.nvidia.gpu
+      gpu-arch-type: cuda
+      gpu-arch-version: "12.4"
+      timeout: 60
+      script: |
+        set -xeou pipefail
+        echo "::group::Print machine info"
+        uname -a
+        echo "::endgroup::"
+
+        echo "::group::Download checkpoints"
+        # Install requirements
+        ./install/install_requirements.sh cuda
+        pip3 list
+        python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
+        echo "::endgroup::"
+
+        echo "::group::Download checkpoints"
+        mkdir -p checkpoints/stories15M
+        pushd checkpoints/stories15M
+        wget https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt
+        wget https://github.com/karpathy/llama2.c/raw/master/tokenizer.model
+        popd
+        echo "::endgroup::"
+
+        echo "::group::Run inference"
+        export MODEL_DIR=checkpoints/stories15M/
+        export MODEL_PATH=${MODEL_DIR}/stories15M.pt
+        export MODEL_NAME=stories15M
+
+        ./torchchat/utils/scripts/build_native.sh aoti
+
+        for DEVICE in cpu cuda; do
+          # depending on how the parameter passing works, may only be able to do bfloat16 for aoti_run, similar to runner-cuda-dtype.yml
+          # (although the runner environment should not have an opinion what we us in the artifact, and we might suitably abstract that)
+          for DTYPE in bfloat16 float16 float32; do
+            for SDPA in 'math' 'flash_attention' 'efficient_attention' 'cudnn_attention'; do
+              echo "***************************************************************"
+              echo "*** $DEVICE $DTYPE $SDPA"
+              ###################################################################
+              # Export DSO and run with Python
+              python torchchat.py export --output-dso dso.so --checkpoint-path ${MODEL_PATH} --attention-backend ${SDPA} --device ${DEVICE} --dtype ${DTYPE} 
+              python torchchat.py generate --dso-path dso.so --checkpoint-path ${MODEL_PATH} --attention-backend ${SDPA} --device ${DEVICE} --dtype ${DTYPE} --temperature 0 --prompt "Once upon a time"
+              ###################################################################
+              # Export AOTI and run with aoti_run
+              python torchchat.py export --output-aoti /tmp/model.pt2 --checkpoint-path ${MODEL_PATH} --attention-backend ${SDPA} --device ${DEVICE} --dtype ${DTYPE} 
+              ./cmake-out/aoti_run /tmp/model.pt2 -z ${MODEL_DIR}/tokenizer.model -i "Once upon a time"
+              ###################################################################
+            done
+          done
+        done
+
+        echo "tests complete"
+        echo "******************************************"
+        echo "::endgroup::"

torchchat/export.py

@@ -490,13 +490,14 @@ def main(args):
             print(
                 "WARNING!! The path of compiling a dso is deprecated. Please use --output-aoti-package-path to create a .pt2 artifact instead."
             )
-            export_for_server(
-                model_to_dso,
-                builder_args.device,
-                output_dso_path,
-                builder_args.dynamic_shapes,
-                package=False,
-            )
+            with torch.nn.attention.sdpa_kernel([builder_args.attention_backend]):
+                export_for_server(
+                    model_to_dso,
+                    builder_args.device,
+                    output_dso_path,
+                    builder_args.dynamic_shapes,
+                    package=False,
+                )
 
         if output_aoti_package_path:
             output_aoti_package_path = str(os.path.abspath(output_aoti_package_path))
@@ -512,14 +513,15 @@ def main(args):
             print(
                 "Exporting model using AOT Inductor to " f"{output_aoti_package_path}."
             )
-            export_for_server(
-                model_to_aoti_package,
-                builder_args.device,
-                output_aoti_package_path,
-                builder_args.dynamic_shapes,
-                package=True,
-                metadata=metadata,
-            )
+            with torch.nn.attention.sdpa_kernel([builder_args.attention_backend]):
+                export_for_server(
+                    model_to_aoti_package,
+                    builder_args.device,
+                    output_aoti_package_path,
+                    builder_args.dynamic_shapes,
+                    package=True,
+                    metadata=metadata,
+                )
 
         if output_snapshot_path:
             output_snapshot_path = str(os.path.abspath(output_snapshot_path))
@@ -529,4 +531,3 @@ def main(args):
                 builder_args.device,
                 output_snapshot_path,
             )
-