Add flags to filter gemm configs (#3)

We can filter based on 3 criteria:
1. Data types: f16/bf16
2. Matmul variants: NN, NT, TN, and TT. (NT -- transpose B)
3. Tag regex, e.g., `"unet"` or `".*skinny"`.

gemmbench/gemm_bench.py

@@ -15,7 +15,7 @@
 import sys
 from utils import *
 from gemm_utils import *
-from problems import get_gemm_configs, get_tk_gemm_configs
+from problems import get_gemm_configs, get_tk_gemm_configs, get_matching_configs
 
 
 def compile_gemm(tag, config, kernel_dir, vmfb_dir, target, extra_compiler_args, tk):
@@ -40,33 +40,48 @@ def compile_gemm(tag, config, kernel_dir, vmfb_dir, target, extra_compiler_args,
         default=[],
         help="Extra command line arguments passed to the IREE compiler. This can be specified multiple times to pass multiple arguments."
     )
+    parser.add_argument(
+        "--dtypes", action='append', help="List of data types to benchmark. Defaults to all supported types."
+    )
+    parser.add_argument(
+        "--variants",
+        action='append',
+        help="List of matmul variants to benchmark. Default to all variants: NN, NT, TN, and TT."
+    )
+    parser.add_argument(
+        "--tag-regex",
+        help="Regular expression for allowed benchmark tags. Defaults to all tags allowed.",
+        default=".*"
+    )
     parser.add_argument("--roofline", help="Comma separated csv file list to generate roofline plot with", default=None)
     parser.add_argument("--plot", help="location to save plot", default=None)
     parser.add_argument("--batch", help="roofline on certain batch", type=int, default=None)
-    parser.add_argument("--dtype", help="roofline on certain dtype", default=None)
     parser.add_argument("--model", help="roofline on certain model", default=None)
     parser.add_argument(
         "--tk",
         action="store_true",
         default=False,
-        help="Option to run gemm kernels using Turbine Kernels",
+        help="Run gemm kernels using Turbine Kernels",
     )
 
     args = parser.parse_args()
+    # Handle default values here, since 'append' is not compatible with defaulted lists.
+    requested_dtypes = ["f16", "bf16"] if not args.dtypes else list(args.dtypes)
+    requested_variants = ["NN", "NT", "TN", "TT"] if not args.variants else list(args.variants)
+
     logging.basicConfig(level=args.log_level)
 
     if args.roofline:
-        roofline(args.roofline, args.plot, args.batch, args.dtype, args.model)
+        for dtype in requested_dtypes:
+            roofline(args.roofline, f"{args.plot}_{dtype}", args.batch, dtype, args.model)
         sys.exit()
-    
+
     tk = args.tk
-    if tk:
-        configs = get_tk_gemm_configs()
-    else:
-        configs = get_gemm_configs()
+    configs = get_tk_gemm_configs() if tk else get_gemm_configs()
+    configs = get_matching_configs(configs, requested_dtypes, requested_variants, args.tag_regex)
     print(f"Generated {len(configs)} gemm configs.")
 
-    num_cpus = max(1, cpu_count() - 20)
+    num_cpus = max(1, max(cpu_count() // 2, 1))
     print(f"Using {num_cpus} CPUs for parallel processing.")
 
     manager = Manager()
@@ -125,7 +140,7 @@ def compile_gemm(tag, config, kernel_dir, vmfb_dir, target, extra_compiler_args,
         ]
 
         if tk:
-            exec_args += ["--function=isolated_benchmark"] 
+            exec_args += ["--function=isolated_benchmark"]
         else:
             exec_args += ["--function=main"]
 

gemmbench/problems.py

@@ -6,6 +6,9 @@
 
 from gemm_utils import GemmConfig
 
+import re
+
+
 def is_compute_bound(M, N, K, bpe):
     """Is this GEMM compute (or memory) bound?"""
     magic_ratio = 64
@@ -860,34 +863,46 @@ def unet(dtype: str) -> list[GemmConfig]:
     return configs
 
 def get_gemm_configs() -> list[tuple[str, GemmConfig]]:
-    configs: list[tuple[str, GemmConfig]] = []
-    llama13bmatvec_configs = llama13bmatvec("f16")
+    llama13bmatvec_configs: list[GemmConfig] = []
+    llama13bmatvec_configs += llama13bmatvec("f16")
     llama13bmatvec_configs += llama13bmatvecbf16("bf16")
-    llama70bmatvec_configs = llama70bmatvec("f16")
+
+    llama70bmatvec_configs: list[GemmConfig] = []
+    llama70bmatvec_configs += llama70bmatvec("f16")
     llama70bmatvec_configs += llama70bmatvecbf16("bf16")
-    llama13bskinny_configs = llama13bskinny("f16")
+
+    llama13bskinny_configs: list[GemmConfig] = []
+    llama13bskinny_configs += llama13bskinny("f16")
     llama13bskinny_configs += llama13bskinnybf16("bf16")
-    llama70bskinny_configs = llama70bskinny("f16")
+
+    llama70bskinny_configs: list[GemmConfig] = []
+    llama70bskinny_configs += llama70bskinny("f16")
     llama70bskinny_configs += llama70bskinnybf16("bf16")
+
     gpt4compute_configs = gpt4compute("f16")
     llama70bmemory_configs = llama70bmemory("bf16")
     tk_default_configs = tk_default("f16")
-    compute_configs = compute("f16")
+
+    compute_configs: list[GemmConfig] = []
+    compute_configs += compute("f16")
     compute_configs += compute("bf16")
-    unet_configs = unet("f16")
+
+    unet_configs: list[GemmConfig] = []
+    unet_configs += unet("f16")
     unet_configs += unet("bf16")
 
-    configs += [("llama13bmatvec", x) for x in llama13bmatvec_configs]
-    configs += [("llama70bmatvec", x) for x in llama70bmatvec_configs]
-    configs += [("llama13bskinny", x) for x in llama13bskinny_configs]
-    configs += [("llama70bskinny", x) for x in llama70bskinny_configs]
-    configs += [("gpt4compute", x) for x in gpt4compute_configs]
-    configs += [("llama70bmemory", x) for x in llama70bmemory_configs]
-    configs += [("compute", x) for x in compute_configs]
-    configs += [("unet", x) for x in unet_configs]
-    configs += [("tk", x) for x in tk_default_configs]
-
-    return configs
+    all_configs: list[tuple[str, GemmConfig]] = []
+    all_configs += [("llama13bmatvec", x) for x in llama13bmatvec_configs]
+    all_configs += [("llama70bmatvec", x) for x in llama70bmatvec_configs]
+    all_configs += [("llama13bskinny", x) for x in llama13bskinny_configs]
+    all_configs += [("llama70bskinny", x) for x in llama70bskinny_configs]
+    all_configs += [("gpt4compute", x) for x in gpt4compute_configs]
+    all_configs += [("llama70bmemory", x) for x in llama70bmemory_configs]
+    all_configs += [("compute", x) for x in compute_configs]
+    all_configs += [("unet", x) for x in unet_configs]
+    all_configs += [("tk", x) for x in tk_default_configs]
+
+    return all_configs
 
 def get_tk_gemm_configs() -> list[tuple[str, GemmConfig]]:
     configs: list[tuple[str, GemmConfig]] = []
@@ -896,5 +911,19 @@ def get_tk_gemm_configs() -> list[tuple[str, GemmConfig]]:
 
     configs += [("tk", x) for x in tk_default_configs]
     configs += [("unet", x) for x in tk_unet_configs]
-
     return configs
+
+def get_matching_configs(tagged_configs: list[tuple[str, GemmConfig]],
+                         dtypes: list[str], variants: list[str], tag_regex: str) -> list[tuple[str, GemmConfig]]:
+    tag_re = re.compile(tag_regex)
+    matching_configs: list[tuple[str, GemmConfig]] = []
+    for tag, config in tagged_configs:
+        if config.dtype not in dtypes:
+            continue
+        if f"{config.tA}{config.tB}" not in variants:
+            continue
+        if not tag_re.match(tag):
+            continue
+        matching_configs.append((tag, config))
+
+    return matching_configs