From 8bf96386048dcf42f3c2f64d55d9f2e1e5bb2b98 Mon Sep 17 00:00:00 2001 From: monai-bot Date: Mon, 29 Apr 2024 06:17:03 +0000 Subject: [PATCH] [MONAI] code formatting Signed-off-by: monai-bot --- monai/networks/nets/resnet.py | 2 -- tests/test_median_filter.py | 1 + tests/test_resnet.py | 1 - 3 files changed, 1 insertion(+), 3 deletions(-) diff --git a/monai/networks/nets/resnet.py b/monai/networks/nets/resnet.py index 99975271da..de16cd4cca 100644 --- a/monai/networks/nets/resnet.py +++ b/monai/networks/nets/resnet.py @@ -46,7 +46,6 @@ "resnet200", ] - resnet_params = { # model_name: (block, layers, shortcut_type, bias_downsample, datasets23) "resnet10": ("basic", [1, 1, 1, 1], "B", False, True), @@ -58,7 +57,6 @@ "resnet200": ("bottleneck", [3, 24, 36, 3], "B", False, False), } - logger = logging.getLogger(__name__) diff --git a/tests/test_median_filter.py b/tests/test_median_filter.py index 516388afce..02fa812380 100644 --- a/tests/test_median_filter.py +++ b/tests/test_median_filter.py @@ -21,6 +21,7 @@ class MedianFilterTestCase(unittest.TestCase): + @parameterized.expand([(torch.ones(1, 1, 2, 3, 5), [1, 2, 4]), (torch.ones(1, 1, 4, 3, 4), 1)]) # 3d_big # 3d def test_3d(self, input_tensor, radius): filter = MedianFilter(radius).to(torch.device("cpu:0")) diff --git a/tests/test_resnet.py b/tests/test_resnet.py index 22890daeea..ecab133154 100644 --- a/tests/test_resnet.py +++ b/tests/test_resnet.py @@ -198,7 +198,6 @@ [model, *TEST_CASE_1] for model in [resnet10, resnet18, resnet34, resnet50, resnet101, resnet152, resnet200] ] - CASE_EXTRACT_FEATURES = [ ( {"model_name": "resnet10", "pretrained": True, "spatial_dims": 3, "in_channels": 1},