#13875: fix tilize and attn matmul on BH (#15459)

### Ticket
Link to Github Issue #13875

### Problem description
- there were issues with attn matmul ops on BH

### What's changed
- updated llk commit
- reverted z dim in tilize uninit
- moved untilize init earlier

### Checklist
- [x] Post commit CI passes
https://github.com/tenstorrent/tt-metal/actions/runs/12050639818
- [x] Blackhole Post commit (if applicable)
https://github.com/tenstorrent/tt-metal/actions/runs/12050643335
- [x] Model regression CI testing passes (if applicable) fails in the
same way as main
https://github.com/tenstorrent/tt-metal/actions/runs/12050659167 vs
https://github.com/tenstorrent/tt-metal/actions/runs/12045311806
- [x] Device performance regression CI testing passes (if applicable)
Unrelated flakiness
https://github.com/tenstorrent/tt-metal/actions/runs/12050647494 waiting
for re-run. Re-run succeeded
- [x] New/Existing tests provide coverage for changes

Based on
main...nvelickovic/fix_attn_matmul

tests/tt_eager/python_api_testing/unit_testing/misc/test_attn_matmul.py

@@ -8,7 +8,7 @@
 
 import ttnn
 from models.utility_functions import comp_pcc
-from models.utility_functions import is_grayskull, skip_for_blackhole
+from models.utility_functions import is_grayskull
 import ttnn
 
 
@@ -30,7 +30,6 @@ def generate_input_shapes():
     yield [q_len, q_heads, batch_size, K], [batch_size, kv_heads, K, seq_len]
 
 
-@skip_for_blackhole("Hanging on BH, see #12349")
 @pytest.mark.parametrize("in0_dtype", [ttnn.bfloat16, ttnn.bfloat8_b])
 @pytest.mark.parametrize("in1_dtype", [ttnn.bfloat16, ttnn.bfloat8_b])
 @pytest.mark.parametrize("out_dtype", [ttnn.bfloat16, ttnn.bfloat8_b])
@@ -71,7 +70,6 @@ def test_attn_matmul(num_loops, enable_async, in0_dtype, in1_dtype, out_dtype, d
     device.enable_async(False)
 
 
-@skip_for_blackhole("Hanging on BH, see #12349")
 @pytest.mark.skipif(is_grayskull(), reason="GS does not support fp32")
 @pytest.mark.parametrize("in_dtype", [ttnn.float32, ttnn.bfloat16, ttnn.bfloat8_b])
 @pytest.mark.parametrize(
@@ -117,7 +115,6 @@ def test_attn_matmul_fp32(num_loops, enable_async, in_dtype, device):
     device.enable_async(False)
 
 
-@skip_for_blackhole("Hanging on BH, see #12349")
 @pytest.mark.parametrize("in0_dtype", [ttnn.bfloat16, ttnn.bfloat8_b])
 @pytest.mark.parametrize("in1_dtype", [ttnn.bfloat16, ttnn.bfloat8_b])
 @pytest.mark.parametrize("out_dtype", [ttnn.bfloat16, ttnn.bfloat8_b])
@@ -156,7 +153,6 @@ def test_attn_matmul_with_program_cache(
     device.enable_async(False)
 
 
-@skip_for_blackhole("Hanging on BH, see #12349")
 @pytest.mark.parametrize(
     "shard_orientation",
     (ttnn.ShardOrientation.ROW_MAJOR, ttnn.ShardOrientation.COL_MAJOR),
@@ -278,7 +274,6 @@ def test_group_attn_matmul(
     device.enable_async(False)
 
 
-@skip_for_blackhole("Hanging on BH, see #12349")
 @pytest.mark.parametrize("sharded", [False, True])
 @pytest.mark.parametrize("output_dtype", [ttnn.bfloat16, ttnn.bfloat8_b])
 @pytest.mark.parametrize("in1_dtype", [ttnn.bfloat16, ttnn.bfloat8_b])
@@ -373,7 +368,6 @@ def test_group_attn_matmul_with_program_cache(
     device.enable_async(False)
 
 
-@skip_for_blackhole("Hanging on BH, see #12349")
 @pytest.mark.skipif(is_grayskull(), reason="GS does not support fp32")
 @pytest.mark.parametrize("in_dtype", [ttnn.float32, ttnn.bfloat16])
 @pytest.mark.parametrize(

tt_metal/hw/ckernels/blackhole/metal/llk_api/llk_unpack_tilize_api.h

@@ -52,8 +52,14 @@ inline void llk_unpack_tilize_init(const std::uint32_t operand, const std::uint3
 }
 
 inline void llk_unpack_tilize_uninit(const std::uint32_t operand, const std::uint32_t face_r_dim = FACE_R_DIM) {
+    // Revert X dim value to default.
     TT_SETADCXX(p_setadc::UNP_A, face_r_dim * FACE_C_DIM - 1, 0x0);
     TT_SETADCXX(p_setadc::UNP_B, face_r_dim * FACE_C_DIM - 1, 0x0);
+
+    // Revert Z dim value back to default.
+    const uint Tile_z_dim = get_operand_num_faces(operand);
+    cfg_reg_rmw_tensix<THCON_SEC0_REG0_TileDescriptor_ADDR32+1, 16, 0xffff0000>(Tile_z_dim);
+
     std::uint32_t operand_id = get_operand_id(operand);
     unpack_config_u config = {0};
 

ttnn/cpp/ttnn/operations/experimental/matmul/group_attn_matmul/device/kernels/compute/transformer_group_attn_matmul.cpp

@@ -75,6 +75,9 @@ void MAIN {
                         cb_wait_front(cb_in1, in1_block_num_tiles);
                         cb_pop_front(cb_in1, num_kv_heads_skip);
 
+			// This init changes DEST mapping, hence needs to be called before MATH does any processing, so that it has correct DEST mapping.
+                        pack_untilize_dst_init_short<intermediate_num_tiles>(cb_intermed0);
+
                         for (uint32_t in1_subblock = 0; in1_subblock < in1_num_subblocks; in1_subblock++) { // TODO: Must be 1; need to review inner dim blocking and the untilizing
                             uint32_t in1_index_subblock_offset = 0;
 
@@ -133,14 +136,12 @@ void MAIN {
                             in1_index_subblock_offset += out_subblock_w;
                         } // in1_num_subblocks loop
                         cb_pop_front(cb_in1, num_kv_heads_remaining);
-
                         // TODO: Review inner dim blocking, untilizing, and in1_num_subblocks > 1 (with pack_untilize, can only untilize up to dst num tiles)
                         // This should normally be inside subblock loop and we pack out out_subblock_num_tiles
-                        pack_untilize_dst_init_short<intermediate_num_tiles>(cb_intermed0);
                         cb_reserve_back(cb_intermed0, intermediate_num_tiles);
                         tile_regs_wait();
                         pack_untilize_dst<intermediate_num_tiles>(cb_intermed0);
-                        pack_untilize_uninit();
+                        pack_untilize_uninit(cb_intermed0);
 
                         tile_regs_release();
                         cb_push_back(cb_intermed0, intermediate_num_tiles);