Use the latest tt-mlir and mark some failing tests as passing.

tenstorrent · Jan 23, 2025 · 69a9a51 · 69a9a51
1 parent 2ee055d
commit 69a9a51
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Showing 2 changed files with 1 addition and 9 deletions.
diff --git a/tests/torch/test_basic.py b/tests/torch/test_basic.py
@@ -185,10 +185,6 @@ def forward(self, x):
     verify_module(Basic(), input_shapes=[(32, 32)])
 
 
-@pytest.mark.xfail(
-    strict=True,
-    reason="Embedded constants currently broken, see https://github.com/tenstorrent/tt-torch/issues/152",
-)
 def test_linear_with_bias():
     class Basic(nn.Module):
         def __init__(self):
@@ -202,10 +198,6 @@ def forward(self, x):
     verify_module(Basic(), input_shapes=[(32, 32)])
 
 
-@pytest.mark.xfail(
-    strict=True,
-    reason="RepeatOp is failing due to scalar type shape mismatch, see https://github.com/tenstorrent/tt-torch/issues/186",
-)
 def test_linear_with_bias_no_embedded_constants():
     class Basic(nn.Module):
         def __init__(self):

diff --git a/third_party/CMakeLists.txt b/third_party/CMakeLists.txt
@@ -3,7 +3,7 @@
 # SPDX-License-Identifier: Apache-2.0
 #
 
-set(TT_MLIR_VERSION "78601d677a7d54715e194122438c836206dce731")
+set(TT_MLIR_VERSION "a2dc626be7df141ddf72331b8cec7c4108f26f39")
 
 if (TOOLCHAIN STREQUAL "ON")
     cmake_minimum_required(VERSION 3.20)