Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Update torch stable to 2.3.1 #177

Merged
merged 2 commits into from
Jul 9, 2024
Merged

Update torch stable to 2.3.1 #177

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
e8c6be1
Update torch stable
mgehre-amd Jun 10, 2024
a679504
Merge remote-tracking branch 'origin/feature/backport_ea1_ops' into m…
cmcgirr-amd Jul 8, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 0 additions & 7 deletions projects/pt1/e2e_testing/xfail_sets.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -13,8 +13,6 @@
from torch_mlir_e2e_test.test_suite import COMMON_TORCH_MLIR_LOWERING_XFAILS
from torch_mlir._version import torch_version_for_comparison, version

print(f"TORCH_VERSION_FOR_COMPARISON =", torch_version_for_comparison())

LINALG_XFAIL_SET = COMMON_TORCH_MLIR_LOWERING_XFAILS | {
"Conv1dNoPaddingGroupModule_basic",
"RepeatInterleaveStaticModule_basic",
Expand Down Expand Up @@ -352,11 +350,6 @@
"InterpolateDynamicModule_scales_recompute_bilinear",
}

if torch_version_for_comparison() <= version.parse("2.2.0"):
TORCHDYNAMO_XFAIL_SET |= {
'OneHotModule_basic',
}

TORCHDYNAMO_CRASHING_SET = {
# No upstream decompositions.
# %6:4 = torch.operator "aten._embedding_bag_forward_only"(%1, %3, %5, %false, %int0, %false, %none, %false, %int-1) : (!torch.tensor<*,f32>, !torch.tensor<*,si64>, !torch.tensor<*,si64>, !torch.bool, !torch.int, !torch.bool, !torch.none, !torch.bool, !torch.int) -> (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor)
Expand Down
4 changes: 1 addition & 3 deletions projects/pt1/python/torch_mlir/dynamo.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -50,6 +50,7 @@ def _get_decomposition_table():
# (the upstream decomposition we use here does), even though we have
# support for aten.native_batch_norm_backward.
aten._native_batch_norm_legit_functional,
aten._native_batch_norm_legit_no_training,
aten.native_group_norm,
aten.split.Tensor,
aten.split_with_sizes,
Expand All @@ -67,9 +68,6 @@ def _get_decomposition_table():
aten.cumsum,
aten.index_select,
]
# TODO: enable test once 2.1.0 is stable
if torch_version_for_comparison() >= version.parse("2.1.0.dev"):
decomp_list += [aten._native_batch_norm_legit_no_training]
return get_decompositions(decomp_list)


Expand Down
8 changes: 0 additions & 8 deletions projects/pt1/python/torch_mlir_e2e_test/test_suite/__init__.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -18,14 +18,6 @@
"ElementwiseToDtypeI64ToUI8Module_basic",
}

# TODO: Delete once torch 2.1.0 is released
if torch_version_for_comparison() < version.parse("2.1.0.dev"):
COMMON_TORCH_MLIR_LOWERING_XFAILS.update({
"ScaledDotProductAttentionDifferentModule_basic",
"ScaledDotProductAttentionSameModule_basic"
})


def register_all_tests():
"""Registers all the built-in E2E tests that Torch-MLIR provides."""
# Side-effecting import statements.
Expand Down
4 changes: 2 additions & 2 deletions stable-requirements.txt
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,3 +1,3 @@
--index-url https://download.pytorch.org/whl/cpu
torch==2.1.2+cpu
torchvision==0.16.2+cpu
torch==2.3.1+cpu
torchvision==0.18.1+cpu
Loading