Merge branch 'perplexity-pre-submit' of https://github.com/nod-ai/shark-ai into perplexity-pre-submit

Author: archana-ramalingam

.github/workflows/ci-llama-large-tests.yaml

@@ -76,14 +76,14 @@ jobs:
             iree-base-runtime
 
       - name: Run llama tests
-        run: pytest sharktank/tests/models/llama/benchmark_amdgpu_test.py -v -s --run-nightly-llama-tests --iree-hip-target=gfx942 --html=out/index.html
+        run: pytest sharktank/tests/models/llama/benchmark_amdgpu_test.py -v -s --run-nightly-llama-tests --iree-hip-target=gfx942 --html=out/llm/llama/benchmark/index.html
 
       - name: Deploy to GitHub Pages
         uses: peaceiris/actions-gh-pages@4f9cc6602d3f66b9c108549d475ec49e8ef4d45e # v4.0.0
         with:
           github_token: ${{ secrets.SHARK_PLATFORM_GH_TOKEN }}
-          publish_dir: ./out/llm/llama/benchmarks
-          destination_dir: ./llm/llama/benchmarks
+          publish_dir: ./out/llm/llama/benchmark
+          destination_dir: ./llm/llama/benchmark
           keep_files: true
 
       - name: Upload llama executable files

docs/developer_guide.md

@@ -15,15 +15,17 @@ sudo apt update && sudo apt install -y clang lld
 
 Install:
 
-```
-python-is-python3 python3-venv python3-dev
+```bash
+sudo apt install python-is-python3 python3-venv python3-dev
 ```
 
 <details>
 
 <summary> Or, alternatively, use `pyenv` to manage a separate python installation for more control over its version: </summary>
 
 
+The following instructions are taken from pyenv's guide here: https://github.com/pyenv/pyenv?tab=readme-ov-file#a-getting-pyenv
+
 First, install pyenv and its dependencies.
 
 ```bash

sharktank/tests/models/llama/benchmark_amdgpu_test.py

@@ -197,7 +197,6 @@ def testBenchmark8B_f16_Decomposed(self):
         )
 
     @skipif_run_quick_llama_test
-    @pytest.mark.xfail(reason="Compile Error", strict=True, raises=IreeCompileException)
     def testBenchmark8B_f16_Non_Decomposed_Prefill(self):
         output_file_name = self.dir_path_8b / "f16_torch_prefill"
         output_mlir = self.llama8b_f16_torch_sdpa_artifacts.create_file(
@@ -780,7 +779,9 @@ def testBenchmark405B_f16_TP8_Decomposed(self):
             cwd=self.repo_root,
         )
 
-    @pytest.mark.xfail(reason="Compile Error", strict=True, raises=IreeCompileException)
+    @pytest.mark.xfail(
+        reason="Benchmarking Error", strict=True, raises=IreeBenchmarkException
+    )
     def testBenchmark405B_f16_TP8_Non_Decomposed(self):
         output_file_name = self.dir_path_405b / "f16_torch"
         output_mlir = self.llama405b_f16_torch_sdpa_artifacts.create_file(
@@ -828,7 +829,9 @@ def testBenchmark405B_f16_TP8_Non_Decomposed(self):
             cwd=self.repo_root,
         )
 
-    @pytest.mark.xfail(reason="Compile Error", strict=True, raises=IreeCompileException)
+    @pytest.mark.xfail(
+        reason="KeyError in theta.py", strict=True, raises=ExportMlirException
+    )
     def testBenchmark405B_fp8_TP8_Decomposed(self):
         output_file_name = self.dir_path_405b / "fp8_decomposed"
         output_mlir = self.llama405b_fp8_decomposed_artifacts.create_file(
@@ -874,7 +877,9 @@ def testBenchmark405B_fp8_TP8_Decomposed(self):
             cwd=self.repo_root,
         )
 
-    @pytest.mark.xfail(reason="Compile Error", strict=True, raises=IreeCompileException)
+    @pytest.mark.xfail(
+        reason="KeyError in theta.py", strict=True, raises=ExportMlirException
+    )
     def testBenchmark405B_fp8_TP8_Non_Decomposed(self):
         output_file_name = self.dir_path_405b / "fp8_torch"
         output_mlir = self.llama405b_fp8_torch_sdpa_artifacts.create_file(