#0: fixes

tenstorrent · Dec 11, 2024 · 01aed9b · 01aed9b
1 parent f949ba3
commit 01aed9b
Showing 1 changed file with 15 additions and 20 deletions.
diff --git a/tests/ttnn/unit_tests/operations/test_matmul.py b/tests/ttnn/unit_tests/operations/test_matmul.py
@@ -980,6 +980,11 @@ def run_matmul_1d_multiple_output_blocks_per_core(
     if out_sharded and num_out_block_w > 1:
         pytest.skip("out sharded not support multiple blocks on w dim")
 
+    if not mcast_in0:
+        tmp = m
+        m = n
+        n = tmp
+
     in0_shape = [1, 1, m, k]
     in1_shape = [1, 1, k, n]
     bias_shape = [1, 1, n]
@@ -1012,26 +1017,16 @@ def run_matmul_1d_multiple_output_blocks_per_core(
     in0 = torch.randn(in0_shape).bfloat16().float()
     in1 = torch.randn(in1_shape).bfloat16().float()
 
-    if in_sharded:
-        if mcast_in0:
-            in0_memory_config = ttnn.create_sharded_memory_config(
-                (1, 1, m, k),
-                core_grid=ttnn.CoreGrid(y=grid_size[1], x=grid_size[0]),
-                strategy=ttnn.ShardStrategy.WIDTH,
-                orientation=ttnn.ShardOrientation.ROW_MAJOR,
-            )
-            in1_memory_config = ttnn.DRAM_MEMORY_CONFIG
-        else:
-            in0_memory_config = ttnn.DRAM_MEMORY_CONFIG
-            in1_memory_config = ttnn.create_sharded_memory_config(
-                (1, 1, k, n),
-                core_grid=ttnn.CoreGrid(y=grid_size[1], x=grid_size[0]),
-                strategy=ttnn.ShardStrategy.WIDTH,
-                orientation=ttnn.ShardOrientation.ROW_MAJOR,
-            )
+    if in_sharded and mcast_in0:
+        in0_memory_config = ttnn.create_sharded_memory_config(
+            (1, 1, m, k),
+            core_grid=ttnn.CoreGrid(y=grid_size[1], x=grid_size[0]),
+            strategy=ttnn.ShardStrategy.WIDTH,
+            orientation=ttnn.ShardOrientation.ROW_MAJOR,
+        )
     else:
         in0_memory_config = ttnn.DRAM_MEMORY_CONFIG
-        in1_memory_config = ttnn.DRAM_MEMORY_CONFIG
+    in1_memory_config = ttnn.DRAM_MEMORY_CONFIG
     in0_t = ttnn.from_torch(
         in0,
         dtype=ttnn.bfloat16,
@@ -1085,13 +1080,13 @@ def run_matmul_1d_multiple_output_blocks_per_core(
             fp32_dest_acc_en=False,
             packer_l1_acc=True,
         )
-    if out_sharded:
+    if out_sharded and mcast_in0:
         out_mem_config = ttnn.MemoryConfig(
             memory_layout=ttnn.TensorMemoryLayout.WIDTH_SHARDED,
             buffer_type=ttnn.BufferType.L1,
         )
     else:
-        out_mem_config = ttnn.L1_MEMORY_CONFIG
+        out_mem_config = ttnn.DRAM_MEMORY_CONFIG
 
     if has_bias:
         output_t = ttnn.linear(