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Skip Old Pytorch Versions for SwinUNETR #7266

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merged 8 commits into from
Nov 30, 2023
Merged

Skip Old Pytorch Versions for SwinUNETR #7266

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31d4bee
fix #7265
KumoLiu Nov 29, 2023
b012aa9
fix flake8
KumoLiu Nov 29, 2023
f613581
fix ci
KumoLiu Nov 29, 2023
163bdd6
address comments
KumoLiu Nov 29, 2023
6ccbe71
address comments
KumoLiu Nov 30, 2023
9d338a3
fix flake8
KumoLiu Nov 30, 2023
7233f23
Merge branch 'dev' into use-checkpoint
KumoLiu Nov 30, 2023
47489dd
Merge branch 'dev' into use-checkpoint
KumoLiu Nov 30, 2023
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46 changes: 28 additions & 18 deletions tests/test_swin_unetr.py
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Original file line number Diff line number Diff line change
Expand Up @@ -24,37 +24,47 @@
from monai.networks.nets.swin_unetr import PatchMerging, PatchMergingV2, SwinUNETR, filter_swinunetr
from monai.networks.utils import copy_model_state
from monai.utils import optional_import
from tests.utils import assert_allclose, skip_if_downloading_fails, skip_if_no_cuda, skip_if_quick, testing_data_config
from tests.utils import (
assert_allclose,
pytorch_after,
skip_if_downloading_fails,
skip_if_no_cuda,
skip_if_quick,
testing_data_config,
)

einops, has_einops = optional_import("einops")

TEST_CASE_SWIN_UNETR = []
case_idx = 0
test_merging_mode = ["mergingv2", "merging", PatchMerging, PatchMergingV2]
checkpoint_vals = [True, False] if pytorch_after(1, 11) else [False]
for attn_drop_rate in [0.4]:
for in_channels in [1]:
for depth in [[2, 1, 1, 1], [1, 2, 1, 1]]:
for out_channels in [2]:
for img_size in ((64, 32, 192), (96, 32)):
for feature_size in [12]:
for norm_name in ["instance"]:
test_case = [
{
"spatial_dims": len(img_size),
"in_channels": in_channels,
"out_channels": out_channels,
"img_size": img_size,
"feature_size": feature_size,
"depths": depth,
"norm_name": norm_name,
"attn_drop_rate": attn_drop_rate,
"downsample": test_merging_mode[case_idx % 4],
},
(2, in_channels, *img_size),
(2, out_channels, *img_size),
]
case_idx += 1
TEST_CASE_SWIN_UNETR.append(test_case)
for use_checkpoint in checkpoint_vals:
test_case = [
{
"spatial_dims": len(img_size),
"in_channels": in_channels,
"out_channels": out_channels,
"img_size": img_size,
"feature_size": feature_size,
"depths": depth,
"norm_name": norm_name,
"attn_drop_rate": attn_drop_rate,
"downsample": test_merging_mode[case_idx % 4],
"use_checkpoint": use_checkpoint,
},
(2, in_channels, *img_size),
(2, out_channels, *img_size),
]
case_idx += 1
TEST_CASE_SWIN_UNETR.append(test_case)

TEST_CASE_FILTER = [
[
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