Benchmarks - Add support to allow list of custom config string in...

Benchmarks - Add support to allow list of custom config string in cudnn-functions and cublas-functions (#414)

**Description**
Add support to allow list of custom config string in cudnn-functions and cublas-functions.

.github/workflows/codeql-analysis.yml

@@ -28,15 +28,15 @@ jobs:
           - javascript
     steps:
       - name: Checkout
-      uses: actions/checkout@v2
+        uses: actions/checkout@v3
       - name: Initialize CodeQL
-      uses: github/codeql-action/init@v1
+        uses: github/codeql-action/init@v2
         with:
           languages: ${{ matrix.language }}
       - name: Autobuild
-      uses: github/codeql-action/autobuild@v1
+        uses: github/codeql-action/autobuild@v2
       - name: Perform CodeQL Analysis
-      uses: github/codeql-action/analyze@v1
+        uses: github/codeql-action/analyze@v2
   analyze-cpp:
     name: CodeQL analyze cpp
     runs-on: ubuntu-latest
@@ -48,12 +48,12 @@ jobs:
       security-events: write
     steps:
       - name: Checkout
-      uses: actions/checkout@v2
+        uses: actions/checkout@v3
       - name: Initialize CodeQL
-      uses: github/codeql-action/init@v1
+        uses: github/codeql-action/init@v2
         with:
           languages: cpp
       - name: Build
         run: make cppbuild -j
       - name: Perform CodeQL Analysis
-      uses: github/codeql-action/analyze@v1
+        uses: github/codeql-action/analyze@v2

setup.py

@@ -154,7 +154,7 @@ def run(self):
         'numpy>=1.19.2',
         'omegaconf==2.0.6',
         'openpyxl>=3.0.7',
-        'pandas>=1.1.5',
+        'pandas==1.1.5',
         'pssh @ git+https://github.com/lilydjwg/pssh.git@v2.3.4',
         'pyyaml>=5.3',
         'requests>=2.27.1',

superbench/benchmarks/micro_benchmarks/cublas_function.py

@@ -218,6 +218,7 @@ def add_parser_arguments(self):
         self._parser.add_argument(
             '--config_json_str',
             type=str,
+            nargs='+',
             default=None,
             required=False,
             help='The custom json string defining the params in a cublas function.',
@@ -246,7 +247,10 @@ def _preprocess(self):
                     self._commands.append(complete_command)
 
             else:
-                custom_config_str = yaml.safe_load(self._args.config_json_str)
+                if not isinstance(self._args.config_json_str, list):
+                    self._args.config_json_str = [self._args.config_json_str]
+                for config_json_str in self._args.config_json_str:
+                    custom_config_str = yaml.safe_load(config_json_str)
                     config_json_str = "\'" + json.dumps(custom_config_str).replace(' ', '') + "\'"
                     complete_command = command + (' --config_json ') + config_json_str
                     self._commands.append(complete_command)

superbench/benchmarks/micro_benchmarks/cudnn_function.py

@@ -352,6 +352,7 @@ def add_parser_arguments(self):
         self._parser.add_argument(
             '--config_json_str',
             type=str,
+            nargs='+',
             default=None,
             required=False,
             help='The custom json string defining the params in a cudnn function.',
@@ -380,7 +381,10 @@ def _preprocess(self):
                     self._commands.append(complete_command)
 
             else:
-                custom_config_str = yaml.safe_load(self._args.config_json_str)
+                if not isinstance(self._args.config_json_str, list):
+                    self._args.config_json_str = [self._args.config_json_str]
+                for config_json_str in self._args.config_json_str:
+                    custom_config_str = yaml.safe_load(config_json_str)
                     config_json_str = "\'" + json.dumps(custom_config_str).replace(' ', '') + "\'"
                     complete_command = command + (' --config_json ') + config_json_str
                     self._commands.append(complete_command)

tests/benchmarks/micro_benchmarks/test_cublas_function.py

@@ -80,3 +80,41 @@ def test_cublas_functions():
         assert (isinstance(benchmark.result[metric][0], numbers.Number))
         if metric != 'return_code':
             assert (len(benchmark.raw_data[metric][0]) == benchmark._args.num_steps)
+
+    # Test for custom list configuration
+    custom_config_str2 = '{"name":"cublasCgemm3mStridedBatched","m":64,"n":32,"k":3,' + \
+        '"transa":0,"transb":1,"batchCount":544}'
+    context = BenchmarkRegistry.create_benchmark_context(
+        'cublas-function',
+        platform=Platform.CUDA,
+        parameters='--num_warmup 10 --num_steps 10 --num_in_step 100 --config_json_str ' +
+        f"'{custom_config_str}' '{custom_config_str2}'"
+    )
+
+    assert (BenchmarkRegistry.is_benchmark_context_valid(context))
+
+    benchmark = BenchmarkRegistry.launch_benchmark(context)
+
+    # Check basic information.
+    assert (benchmark)
+    assert (benchmark.name == 'cublas-function')
+    assert (benchmark.type == BenchmarkType.MICRO)
+
+    # Check parameters specified in BenchmarkContext.
+    assert (benchmark._args.num_warmup == 10)
+    assert (benchmark._args.num_steps == 10)
+    assert (benchmark._args.num_in_step == 100)
+
+    # Check results and metrics.
+    assert (benchmark.run_count == 1)
+    assert (benchmark.return_code == ReturnCode.SUCCESS)
+    assert ('raw_output_0' in benchmark.raw_data)
+    assert (len(benchmark.raw_data['raw_output_0']) == 1)
+    assert (isinstance(benchmark.raw_data['raw_output_0'][0], str))
+
+    assert (2 + benchmark.default_metric_count == len(benchmark.result))
+    for metric in list(benchmark.result.keys()):
+        assert (len(benchmark.result[metric]) == 1)
+        assert (isinstance(benchmark.result[metric][0], numbers.Number))
+        if metric != 'return_code':
+            assert (len(benchmark.raw_data[metric][0]) == benchmark._args.num_steps)

tests/benchmarks/micro_benchmarks/test_cudnn_function.py

@@ -84,3 +84,45 @@ def test_cudnn_functions():
         assert (isinstance(benchmark.result[metric][0], numbers.Number))
         if metric != 'return_code':
             assert (len(benchmark.raw_data[metric][0]) == benchmark._args.num_steps)
+
+
+# Test for custom list configuration
+    custom_config_str2 = '{"algo":1,"arrayLength":2,"convType":0,"dilationA":[1,1],"filterStrideA":[1,1],' \
+        + '"filterDims":[32,128,3,3],"inputDims":[32,32,14,14],"inputStride":[6272, 196, 14, 1],"inputType":2,'\
+        + '"mode":1,"name":"cudnnConvolutionBackwardData","outputDims":[32, 128, 14, 14],'\
+        + '"outputStride":[25088, 196, 14, 1],"padA":[1,1],"tensorOp":true}'
+
+    context = BenchmarkRegistry.create_benchmark_context(
+        'cudnn-function',
+        platform=Platform.CUDA,
+        parameters='--num_warmup 10 --num_steps 10 --num_in_step 100 --config_json_str ' +
+        f"'{custom_config_str}' '{custom_config_str2}'"
+    )
+
+    assert (BenchmarkRegistry.is_benchmark_context_valid(context))
+
+    benchmark = BenchmarkRegistry.launch_benchmark(context)
+
+    # Check basic information.
+    assert (benchmark)
+    assert (benchmark.name == 'cudnn-function')
+    assert (benchmark.type == BenchmarkType.MICRO)
+
+    # Check parameters specified in BenchmarkContext.
+    assert (benchmark._args.num_warmup == 10)
+    assert (benchmark._args.num_steps == 10)
+    assert (benchmark._args.num_in_step == 100)
+
+    # Check results and metrics.
+    assert (benchmark.run_count == 1)
+    assert (benchmark.return_code == ReturnCode.SUCCESS)
+    assert ('raw_output_0' in benchmark.raw_data)
+    assert (len(benchmark.raw_data['raw_output_0']) == 1)
+    assert (isinstance(benchmark.raw_data['raw_output_0'][0], str))
+
+    assert (2 + benchmark.default_metric_count == len(benchmark.result))
+    for metric in list(benchmark.result.keys()):
+        assert (len(benchmark.result[metric]) == 1)
+        assert (isinstance(benchmark.result[metric][0], numbers.Number))
+        if metric != 'return_code':
+            assert (len(benchmark.raw_data[metric][0]) == benchmark._args.num_steps)