[TEST] fix error in argmin UT when dtype=int16

src/flag_gems/ops/argmin.py

@@ -78,6 +78,8 @@ def argmin_kernel(
     m_offset = pid_m * BLOCK_M + tl.arange(0, BLOCK_M)
 
     # min_values = tl.full([BLOCK_M], dtype=tl.float32, value=float("inf"))
+    if tl_dtype is tl.int16:
+        tl_dtype = tl.int32
     min_values = tl.full([BLOCK_M], dtype=tl_dtype, value=dtype_max_value)
     argmin_values = tl.full([BLOCK_M], dtype=tl.int64, value=0)
     for start_n in range(0, N, BLOCK_N):

src/flag_gems/runtime/backend/_iluvatar/heuristics_config_utils.py

@@ -10,6 +10,14 @@ def argmax_heur_block_n(args):
     return min(4096, triton.next_power_of_2(args["N"]))
 
 
+def argmin_heur_block_m(args):
+    return 4 if args["M"] < 4096 else 8
+
+
+def argmin_heur_block_n(args):
+    return min(4096, triton.next_power_of_2(args["N"]))
+
+
 def bmm_heur_divisible_m(args):
     return args["M"] % args["BLOCK_M"] == 0
 
@@ -195,11 +203,26 @@ def upsample_nearest2d_SAME_W(args):
     return args["OW"] == args["IW"]
 
 
+def batch_norm_heur_block_m(args):
+    return min(2048, triton.next_power_of_2(args["batch_dim"]))
+
+
+def batch_norm_heur_block_n(args):
+    # A maximum of 16384 elements are loaded at once.
+    BLOCK_M = batch_norm_heur_block_m(args)
+    BLOCK_N = triton.next_power_of_2(args["spatial_dim"])
+    return min(BLOCK_N, max(1, 2**14 // BLOCK_M))
+
+
 HEURISTICS_CONFIGS = {
     "argmax": {
         "BLOCK_M": argmax_heur_block_m,
         "BLOCK_N": argmax_heur_block_n,
     },
+    "argmin": {
+        "BLOCK_M": argmin_heur_block_m,
+        "BLOCK_N": argmin_heur_block_n,
+    },
     "bmm": {
         "DIVISIBLE_M": bmm_heur_divisible_m,
         "DIVISIBLE_N": bmm_heur_divisible_n,
@@ -262,4 +285,8 @@ def upsample_nearest2d_SAME_W(args):
     "var_mean": {
         "BLOCK_N": var_mean_heur_block_n,
     },
+    "batch_norm": {
+        "BLOCK_M": batch_norm_heur_block_m,
+        "BLOCK_N": batch_norm_heur_block_n,
+    },
 }

src/flag_gems/runtime/backend/_iluvatar/tune_configs.yaml

@@ -1402,6 +1402,16 @@ bmm:
   num_stages: 2
   num_warps: 16
 argmax:
+- META:
+    BLOCK_M: 8
+  num_warps: 8
+- META:
+    BLOCK_M: 16
+  num_warps: 8
+- META:
+    BLOCK_M: 32
+  num_warps: 8
+argmin:
 - META:
     BLOCK_M: 8
   num_warps: 8
@@ -3230,3 +3240,15 @@ var_mean:
   - 4
   - 8
   - 16
+batch_norm:
+- gen: true
+  param_map:
+    META: {}
+    num_warps: warps
+  warps:
+  - 1
+  - 2
+  - 4
+  - 8
+  - 16
+  - 32