Fix torch.matmul related out dtype check (#148174)

----

- torch.matmul -> CompositeImplicitAutograd -> dot_out (when left_dim == 1 & right_dim == 1)
                                            -> mv_out (when left_dim == 2 & right_dim == 1)
                                            -> mm_out (when left_dim == 1 & right_dim == 2)
                                            -> ...
- torch.dot
- torch.vdot
- torch.mm
- torch.mv

ISSUE related:
https://github.com/pytorch/pytorch/issues/138399
Pull Request resolved: https://github.com/pytorch/pytorch/pull/148174
Approved by: https://github.com/jansel

test/test_ops.py

@@ -135,7 +135,6 @@ meta_consistency_out_dtype_mismatch_xfails = {
     xfail("cummin"),
     xfail("diag"),
     xfail("diagonal_copy"),
-    xfail("dot"),
     xfail("expand_copy"),
     xfail("fft.ihfft2"),
     xfail("fft.ihfftn"),
@@ -159,7 +158,6 @@ meta_consistency_out_dtype_mismatch_xfails = {
     xfail("linalg.lu_factor"),
     xfail("linalg.lu_factor_ex"),
     xfail("linalg.lu_solve"),
-    xfail("linalg.matrix_power"),
     xfail("linalg.qr"),
     xfail("linalg.slogdet"),
     xfail("linalg.solve"),
@@ -168,12 +166,9 @@ meta_consistency_out_dtype_mismatch_xfails = {
     xfail("logcumsumexp"),
     xfail("lu_solve"),
     xfail("lu_unpack"),
-    xfail("matmul"),
-    xfail("mm"),
     xfail("mode"),
     xfail("msort"),
     xfail("multinomial"),
-    xfail("mv"),
     xfail("nan_to_num"),
     xfail("nanmean"),
     xfail("narrow_copy"),
@@ -182,7 +177,6 @@ meta_consistency_out_dtype_mismatch_xfails = {
     xfail("nn.functional.avg_pool3d"),
     xfail("nn.functional.gelu"),
     xfail("nn.functional.hardshrink"),
-    xfail("nn.functional.linear"),
     xfail("nn.functional.logsigmoid"),
     xfail("nn.functional.softplus"),
     xfail("nn.functional.softshrink"),
@@ -210,7 +204,6 @@ meta_consistency_out_dtype_mismatch_xfails = {
     xfail("triu"),
     xfail("unfold_copy"),
     xfail("unsqueeze_copy"),
-    xfail("vdot"),
     xfail("view_copy"),
     xfail("where"),
     # Output has dynamic shape.