8185 test refactor 2 #8405

garciadias · 2025-03-28T23:09:35Z

Description

This PR solves items 2 and 3 on #8185 for a few test folders.
I would merge these and proceed with the same type of change in other files if @ericspod approves.

I would like to keep these PRs small, so even if they have the same pattern of changes, merging them bit by bit would make them more manageable.

A few sentences describing the changes proposed in this pull request.

Types of changes

Non-breaking change (fix or new feature that would not break existing functionality).
Breaking change (fix or new feature that would cause existing functionality to change).
New tests added to cover the changes.
Integration tests passed locally by running ./runtests.sh -f -u --net --coverage.
Quick tests passed locally by running ./runtests.sh --quick --unittests --disttests.
In-line docstrings updated.
Documentation updated, tested make html command in the docs/ folder.

…combinations Signed-off-by: R. Garcia-Dias <[email protected]>

…eter combinations Signed-off-by: R. Garcia-Dias <[email protected]>

…nations Signed-off-by: R. Garcia-Dias <[email protected]>

Signed-off-by: R. Garcia-Dias <[email protected]>

…tions Signed-off-by: R. Garcia-Dias <[email protected]>

Signed-off-by: R. Garcia-Dias <[email protected]>

I, R. Garcia-Dias <[email protected]>, hereby add my Signed-off-by to this commit: 129f778 I, R. Garcia-Dias <[email protected]>, hereby add my Signed-off-by to this commit: ebae4e3 Signed-off-by: R. Garcia-Dias <[email protected]>

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garciadias · 2025-04-01T15:16:13Z

Hi @ericspod,

Could you please review this PR?
I think it is all good to follow your specification on the #8185 issue.
I am sending the modification to these few tests so we can limit the size of the PR.
If you approve, I will proceed with more of these simplifications.

tests/apps/detection/test_box_transform.py

tests/data/meta_tensor/test_meta_tensor.py

tests/networks/blocks/test_patchembedding.py

Signed-off-by: R. Garcia-Dias <[email protected]>

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Signed-off-by: R. Garcia-Dias <[email protected]>

for more information, see https://pre-commit.ci

Signed-off-by: R. Garcia-Dias <[email protected]>

…ner generation Signed-off-by: R. Garcia-Dias <[email protected]>

…aner generation Signed-off-by: R. Garcia-Dias <[email protected]>

…ner generation Signed-off-by: R. Garcia-Dias <[email protected]>

…generation Signed-off-by: R. Garcia-Dias <[email protected]>

…MONAI into 8185-test-refactor-2

…neration Signed-off-by: R. Garcia-Dias <[email protected]>

…aner generation Signed-off-by: R. Garcia-Dias <[email protected]>

…for cleaner generation Signed-off-by: R. Garcia-Dias <[email protected]>

…ner test generation Signed-off-by: R. Garcia-Dias <[email protected]>

…r test generation Signed-off-by: R. Garcia-Dias <[email protected]>

…or cleaner test generation Signed-off-by: R. Garcia-Dias <[email protected]>

…er test generation Signed-off-by: R. Garcia-Dias <[email protected]>

…r test generation Signed-off-by: R. Garcia-Dias <[email protected]>

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Co-authored-by: Eric Kerfoot <[email protected]> Signed-off-by: Rafael Garcia-Dias <[email protected]>

Signed-off-by: R. Garcia-Dias <[email protected]>

This reverts commit 1fc0a5b.

I, R. Garcia-Dias <[email protected]>, hereby add my Signed-off-by to this commit: 241e24c I, R. Garcia-Dias <[email protected]>, hereby add my Signed-off-by to this commit: 2edf166 I, R. Garcia-Dias <[email protected]>, hereby add my Signed-off-by to this commit: 2430ac8 I, R. Garcia-Dias <[email protected]>, hereby add my Signed-off-by to this commit: bb54c57 I, R. Garcia-Dias <[email protected]>, hereby add my Signed-off-by to this commit: cd1b4fb Signed-off-by: R. Garcia-Dias <[email protected]>

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ericspod

Hi @garciadias it looks much better now compared to the current state of these test. I have made a few comments in places which are mostly code suggestions you can just accept and double check are correct, but in general it's good but there's a few places where fewer lines of code can be used or some things adjusted for clarity. Thanks!

ericspod · 2025-05-29T10:31:23Z

tests/networks/blocks/test_CABlock.py

+TEST_CASES_CAB = [
+    [
+        {
+            "spatial_dims": params["spatial_dims"],
+            "dim": params["dim"],
+            "num_heads": params["num_heads"],
+            "bias": params["bias"],
+            "flash_attention": False,
+        },
+        (2, params["dim"], *([16] * params["spatial_dims"])),
+        (2, params["dim"], *([16] * params["spatial_dims"])),
+    ]
+    for params in dict_product(spatial_dims=[2, 3], dim=[32, 64, 128], num_heads=[2, 4, 8], bias=[True, False])
+]


Suggested change

TEST_CASES_CAB = [

[

{

"spatial_dims": params["spatial_dims"],

"dim": params["dim"],

"num_heads": params["num_heads"],

"bias": params["bias"],

"flash_attention": False,

},

(2, params["dim"], *([16] * params["spatial_dims"])),

(2, params["dim"], *([16] * params["spatial_dims"])),

]

for params in dict_product(spatial_dims=[2, 3], dim=[32, 64, 128], num_heads=[2, 4, 8], bias=[True, False])

]

TEST_CASES_CAB = [

[

{**params, "flash_attention": False},

(2, params["dim"], *([16] * params["spatial_dims"])),

(2, params["dim"], *([16] * params["spatial_dims"])),

]

for params in dict_product(spatial_dims=[2, 3], dim=[32, 64, 128], num_heads=[2, 4, 8], bias=[True, False])

]

We can reduce this a little more with Python ** syntax.

ericspod · 2025-05-29T10:34:21Z

tests/networks/blocks/test_crossattention.py

+TEST_CASE_CABLOCK = [
+    [
+        {
+            "hidden_size": params["hidden_size"],
+            "num_heads": params["num_heads"],
+            "dropout_rate": params["dropout_rate"],
+            "rel_pos_embedding": params["rel_pos_embedding_val"] if not params["flash_attn"] else None,
+            "input_size": params["input_size"],
+            "use_flash_attention": params["flash_attn"],
+        },
+        (2, 512, params["hidden_size"]),
+        (2, 512, params["hidden_size"]),
+    ]
+    for params in dict_product(
+        dropout_rate=np.linspace(0, 1, 4),
+        hidden_size=[360, 480, 600, 768],
+        num_heads=[4, 6, 8, 12],
+        rel_pos_embedding_val=[None, RelPosEmbedding.DECOMPOSED],
+        input_size=[(16, 32), (8, 8, 8)],
+        flash_attn=[True, False],
+    )
+]


Suggested change

TEST_CASE_CABLOCK = [

[

{

"hidden_size": params["hidden_size"],

"num_heads": params["num_heads"],

"dropout_rate": params["dropout_rate"],

"rel_pos_embedding": params["rel_pos_embedding_val"] if not params["flash_attn"] else None,

"input_size": params["input_size"],

"use_flash_attention": params["flash_attn"],

},

(2, 512, params["hidden_size"]),

(2, 512, params["hidden_size"]),

]

for params in dict_product(

dropout_rate=np.linspace(0, 1, 4),

hidden_size=[360, 480, 600, 768],

num_heads=[4, 6, 8, 12],

rel_pos_embedding_val=[None, RelPosEmbedding.DECOMPOSED],

input_size=[(16, 32), (8, 8, 8)],

flash_attn=[True, False],

)

]

TEST_CASE_CABLOCK = [

[

{

**params,

"rel_pos_embedding": params["rel_pos_embedding_val"] if not params["flash_attn"] else None,

},

(2, 512, params["hidden_size"]),

(2, 512, params["hidden_size"]),

]

for params in dict_product(

dropout_rate=np.linspace(0, 1, 4),

hidden_size=[360, 480, 600, 768],

num_heads=[4, 6, 8, 12],

rel_pos_embedding_val=[None, RelPosEmbedding.DECOMPOSED],

input_size=[(16, 32), (8, 8, 8)],

use_flash_attention=[True, False],

)

]

Also this should work.

ericspod · 2025-05-29T10:43:06Z

tests/networks/blocks/test_dynunet_block.py

+for params in dict_product(
+    spatial_dims=range(2, 4),
+    kernel_size=[1, 3],
+    stride=[1, 2],
+    norm_name=["batch", "instance"],
+    in_size=[15, 16],
+    trans_bias=[True, False],
+):
+    spatial_dims = params["spatial_dims"]
+    kernel_size = params["kernel_size"]
+    stride = params["stride"]
+    norm_name = params["norm_name"]
+    in_size = params["in_size"]
+    trans_bias = params["trans_bias"]
+
+    out_size = in_size * stride
+    test_case = [
+        {
+            "spatial_dims": spatial_dims,
+            "in_channels": in_channels,
+            "out_channels": out_channels,
+            "kernel_size": kernel_size,
+            "norm_name": norm_name,
+            "stride": stride,
+            "upsample_kernel_size": stride,
+            "trans_bias": trans_bias,
+        },
+        (1, in_channels, *([in_size] * spatial_dims)),
+        (1, out_channels, *([out_size] * spatial_dims)),
+        (1, out_channels, *([in_size * stride] * spatial_dims)),
+    ]
+    TEST_UP_BLOCK.append(test_case)


Suggested change

for params in dict_product(

spatial_dims=range(2, 4),

kernel_size=[1, 3],

stride=[1, 2],

norm_name=["batch", "instance"],

in_size=[15, 16],

trans_bias=[True, False],

):

spatial_dims = params["spatial_dims"]

kernel_size = params["kernel_size"]

stride = params["stride"]

norm_name = params["norm_name"]

in_size = params["in_size"]

trans_bias = params["trans_bias"]

out_size = in_size * stride

test_case = [

{

"spatial_dims": spatial_dims,

"in_channels": in_channels,

"out_channels": out_channels,

"kernel_size": kernel_size,

"norm_name": norm_name,

"stride": stride,

"upsample_kernel_size": stride,

"trans_bias": trans_bias,

},

(1, in_channels, *([in_size] * spatial_dims)),

(1, out_channels, *([out_size] * spatial_dims)),

(1, out_channels, *([in_size * stride] * spatial_dims)),

]

TEST_UP_BLOCK.append(test_case)

param_dicts = dict_product(

spatial_dims=range(2, 4),

kernel_size=[1, 3],

upsample_kernel_size=[1, 2],

norm_name=["batch", "instance"],

in_size=[15, 16],

trans_bias=[True, False],

)

for params in param_dicts:

spatial_dims = params["spatial_dims"]

stride = params["upsample_kernel_size"]

in_size = params.pop("in_size") # don't want in_size in the dictionary below

out_size = in_size * stride

test_case = [

{**params, "in_channels": in_channels, "out_channels": out_channels},

(1, in_channels, *([in_size] * spatial_dims)),

(1, out_channels, *([out_size] * spatial_dims)),

(1, out_channels, *([in_size * stride] * spatial_dims)),

]

TEST_UP_BLOCK.append(test_case)

I think this is equivalent and a little smaller.

ericspod · 2025-05-29T10:45:12Z

tests/networks/blocks/test_segresnet_block.py

+from tests.test_utils import dict_product
+
+TEST_CASE_RESBLOCK = [
+    [
+        {
+            "spatial_dims": params["spatial_dims"],
+            "in_channels": params["in_channels"],
+            "kernel_size": params["kernel_size"],
+            "norm": params["norm"],
+        },
+        (2, params["in_channels"], *([16] * params["spatial_dims"])),
+        (2, params["in_channels"], *([16] * params["spatial_dims"])),
+    ]
+    for params in dict_product(
+        spatial_dims=range(2, 4),
+        in_channels=range(1, 4),
+        kernel_size=[1, 3],
+        norm=[("group", {"num_groups": 1}), "batch", "instance"],
+    )
+]



Suggested change

from tests.test_utils import dict_product

TEST_CASE_RESBLOCK = [

[

{

"spatial_dims": params["spatial_dims"],

"in_channels": params["in_channels"],

"kernel_size": params["kernel_size"],

"norm": params["norm"],

},

(2, params["in_channels"], *([16] * params["spatial_dims"])),

(2, params["in_channels"], *([16] * params["spatial_dims"])),

]

for params in dict_product(

spatial_dims=range(2, 4),

in_channels=range(1, 4),

kernel_size=[1, 3],

norm=[("group", {"num_groups": 1}), "batch", "instance"],

)

]

from tests.test_utils import dict_product

TEST_CASE_RESBLOCK = [

[

params,

(2, params["in_channels"], *([16] * params["spatial_dims"])),

(2, params["in_channels"], *([16] * params["spatial_dims"])),

]

for params in dict_product(

spatial_dims=range(2, 4),

in_channels=range(1, 4),

kernel_size=[1, 3],

norm=[("group", {"num_groups": 1}), "batch", "instance"],

)

]

ericspod · 2025-05-29T10:49:59Z

tests/networks/blocks/test_transformerblock.py

+TEST_CASE_TRANSFORMERBLOCK = [
+    [
+        {
+            "hidden_size": params["hidden_size"],
+            "num_heads": params["num_heads"],
+            "mlp_dim": params["mlp_dim"],
+            "dropout_rate": params["dropout_rate"],
+            "with_cross_attention": params["with_cross_attention"],
+        },
+        (2, 512, params["hidden_size"]),
+        (2, 512, params["hidden_size"]),
+    ]
+    for params in dict_product(
+        dropout_rate=np.linspace(0, 1, 4),
+        hidden_size=[360, 480, 600, 768],
+        num_heads=[4, 8, 12],
+        mlp_dim=[1024, 3072],
+        with_cross_attention=[False, True],
+    )
+]


Suggested change

TEST_CASE_TRANSFORMERBLOCK = [

[

{

"hidden_size": params["hidden_size"],

"num_heads": params["num_heads"],

"mlp_dim": params["mlp_dim"],

"dropout_rate": params["dropout_rate"],

"with_cross_attention": params["with_cross_attention"],

},

(2, 512, params["hidden_size"]),

(2, 512, params["hidden_size"]),

]

for params in dict_product(

dropout_rate=np.linspace(0, 1, 4),

hidden_size=[360, 480, 600, 768],

num_heads=[4, 8, 12],

mlp_dim=[1024, 3072],

with_cross_attention=[False, True],

)

]

TEST_CASE_TRANSFORMERBLOCK = [

[

params,

(2, 512, params["hidden_size"]),

(2, 512, params["hidden_size"]),

]

for params in dict_product(

dropout_rate=np.linspace(0, 1, 4),

hidden_size=[360, 480, 600, 768],

num_heads=[4, 8, 12],

mlp_dim=[1024, 3072],

with_cross_attention=[False, True],

)

]

ericspod · 2025-05-29T11:01:20Z

tests/networks/blocks/test_unetr_block.py

+TEST_CASE_UNETR_BASIC_BLOCK = [
+    [
+        {
+            "spatial_dims": params["spatial_dims"],
+            "in_channels": 16,
+            "out_channels": 16,
+            "kernel_size": params["kernel_size"],
+            "norm_name": params["norm_name"],
+            "stride": params["stride"],
+        },
+        (1, 16, *([params["in_size"]] * params["spatial_dims"])),
+        (1, 16, *([_get_out_size(params)] * params["spatial_dims"])),
+    ]
+    for params in dict_product(
+        spatial_dims=range(1, 4),
+        kernel_size=[1, 3],
+        stride=[2],
+        norm_name=[("GROUP", {"num_groups": 16}), ("batch", {"track_running_stats": False}), "instance"],
+        in_size=[15, 16],
+    )
+]


Suggested change

TEST_CASE_UNETR_BASIC_BLOCK = [

[

{

"spatial_dims": params["spatial_dims"],

"in_channels": 16,

"out_channels": 16,

"kernel_size": params["kernel_size"],

"norm_name": params["norm_name"],

"stride": params["stride"],

},

(1, 16, *([params["in_size"]] * params["spatial_dims"])),

(1, 16, *([_get_out_size(params)] * params["spatial_dims"])),

]

for params in dict_product(

spatial_dims=range(1, 4),

kernel_size=[1, 3],

stride=[2],

norm_name=[("GROUP", {"num_groups": 16}), ("batch", {"track_running_stats": False}), "instance"],

in_size=[15, 16],

)

]

norm_names = [("GROUP", {"num_groups": 16}), ("batch", {"track_running_stats": False}), "instance"]

param_dicts = dict_product(

spatial_dims=range(1, 4), kernel_size=[1, 3], stride=[2], norm_name=norm_names, in_size=[15, 16]

)

TEST_CASE_UNETR_BASIC_BLOCK = []

for params in param_dicts:

in_size = params.pop("in_size")

input_param = {**params, "in_channels": 16, "out_channels": 16}

input_shape = (1, 16, *([params["in_size"]] * params["spatial_dims"]))

expected_shape = (1, 16, *([_get_out_size(params)] * params["spatial_dims"]))

TEST_CASE_UNETR_BASIC_BLOCK.append([input_param, input_shape, expected_shape])

Breaking up what you're doing into pieces in different ways can reduce the number of lines used and I think improves readability. The mutli-line for expression often is fine for readability but creating a norm_names variable and moving definitions around reduces the number of lines used which improves things, and explicit variable names for the components of the test is clearer.

ericspod · 2025-05-29T11:03:41Z

tests/transforms/utility/test_splitdimd.py

+TESTS = [
+    (params["keepdim"], params["p"], params["update_meta"], params["list_output"])
+    for params in dict_product(
+        p=TEST_NDARRAYS, keepdim=[True, False], update_meta=[True, False], list_output=[True, False]
+    )
+]



Suggested change

TESTS = [

(params["keepdim"], params["p"], params["update_meta"], params["list_output"])

for params in dict_product(

p=TEST_NDARRAYS, keepdim=[True, False], update_meta=[True, False], list_output=[True, False]

)

]

TESTS = list(dict_product(keepdim=[True, False], p=TEST_NDARRAYS, update_meta=[True, False], list_output=[True, False]))

You might not even need list(...) here.

ericspod · 2025-05-29T12:34:51Z

tests/transforms/spatial/test_spatial_resampled.py

+    TESTS.extend(
+        [
+            [
+                np.arange(4).reshape((1, 2, 2)) + 1.0,  # data
+                *params["device"],
+                dst,
+                {
+                    "dst_keys": "dst_affine",
+                    "dtype": params["dtype"],
+                    "align_corners": params["align"],
+                    "mode": params["interp_mode"],
+                    "padding_mode": "zeros",
+                },
+                expct,
+            ]
+            for params in dict_product(
+                device=TEST_DEVICES,
+                align=[False, True],
+                dtype=[torch.float32, torch.float64],
+                interp_mode=["nearest", "bilinear"],
+            )
+        ]
+    )


Suggested change

TESTS.extend(

[

[

np.arange(4).reshape((1, 2, 2)) + 1.0, # data

*params["device"],

dst,

{

"dst_keys": "dst_affine",

"dtype": params["dtype"],

"align_corners": params["align"],

"mode": params["interp_mode"],

"padding_mode": "zeros",

},

expct,

]

for params in dict_product(

device=TEST_DEVICES,

align=[False, True],

dtype=[torch.float32, torch.float64],

interp_mode=["nearest", "bilinear"],

)

]

)

TESTS += [

[

np.arange(4).reshape((1, 2, 2)) + 1.0, # data

*params.pop("device"),

dst,

{**params, "dst_keys": "dst_affine", "padding_mode": "zeros"},

expct,

]

for params in dict_product(

device=TEST_DEVICES,

align=[False, True],

dtype=[torch.float32, torch.float64],

interp_mode=["nearest", "bilinear"],

)

]

I think this works?

ericspod · 2025-05-29T12:38:32Z

tests/networks/nets/test_segresnet.py

+        upsample_mode=list(UpsampleMode),
+        vae_estimate_std=[True, False],
+    )
+]



Here again the number of lines can be reduced by defining dictionaries with {**params, something_else: 1,...} pattern.

ericspod · 2025-05-29T12:41:01Z

tests/networks/nets/test_vit.py

+                **({"spatial_dims": 2} if params["nd"] == 2 else {}),
+                **({"post_activation": False} if params["nd"] == 2 and params["classification"] else {}),


I feel this usage of ** with a bracketed expression isn't so readable, so this whole statements may be better implemented with a for-loop so you can construct the dictionary with actual if statements. You can also use the {**params,...} pattern here to reduce the line count a lot.

garciadias and others added 12 commits February 27, 2025 15:59

Merge branch 'dev' into 8185-test-refactor-2

57d7b09

Merge remote-tracking branch 'upstream/dev' into 8185-test-refactor-2

5342cba

Refactor self-attention test cases to use dict_product for parameter …

0139125

…combinations Signed-off-by: R. Garcia-Dias <[email protected]>

Refactor PatchEmbeddingBlock test cases to use dict_product for param…

836cf6e

…eter combinations Signed-off-by: R. Garcia-Dias <[email protected]>

Refactor RetinaNet test cases to use dict_product for parameter combi…

b2ccb26

…nations Signed-off-by: R. Garcia-Dias <[email protected]>

Refactor test_meta_tensor to use dict_product for parameter combinations

0735dfd

Signed-off-by: R. Garcia-Dias <[email protected]>

Refactor test_box_transform to use dict_product for parameter combina…

45622d4

…tions Signed-off-by: R. Garcia-Dias <[email protected]>

Autofix

129f778

Fix mypy error

ebae4e3

Fix missing parameter

482e5bf

Signed-off-by: R. Garcia-Dias <[email protected]>

[pre-commit.ci] auto fixes from pre-commit.com hooks

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ericspod reviewed Apr 4, 2025

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ericspod reviewed Apr 4, 2025

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garciadias and others added 14 commits April 10, 2025 17:32

revert change to tests/apps/detection/test_box_transform.py

a5596d7

Signed-off-by: R. Garcia-Dias <[email protected]>

redesign dict_product to make more readable

b46ccc0

Signed-off-by: R. Garcia-Dias <[email protected]>

[pre-commit.ci] auto fixes from pre-commit.com hooks

6077ccd

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add license to temporary test

cd5f790

Signed-off-by: R. Garcia-Dias <[email protected]>

fix test param name

84d85ea

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Simplify with list comprehension

336b287

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autofix

0cedbb5

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N806 not catch locally, but in CI

a9b0fc9

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dict_product function to accept Iterable[Any] for improved flexibility

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autofix

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Fix test mistakes

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autofix

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fix mypy errora

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garciadias and others added 22 commits May 9, 2025 17:52

Refactor test cases in test_segresnet.py to use dict_product for clea…

1dc304e

…ner generation Signed-off-by: R. Garcia-Dias <[email protected]>

Refactor test cases in test_swin_unetr.py to use dict_product for cle…

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…aner generation Signed-off-by: R. Garcia-Dias <[email protected]>

Refactor test cases in test_transchex.py to use dict_product for clea…

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…ner generation Signed-off-by: R. Garcia-Dias <[email protected]>

Refactor test cases in test_unetr.py to use dict_product for cleaner …

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…generation Signed-off-by: R. Garcia-Dias <[email protected]>

Merge branch '8185-test-refactor-2' of https://github.com/garciadias/…

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…MONAI into 8185-test-refactor-2

Refactor test cases in test_vit.py to use dict_product for cleaner ge…

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…neration Signed-off-by: R. Garcia-Dias <[email protected]>

Refactor test cases in test_vitautoenc.py to use dict_product for cle…

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…aner generation Signed-off-by: R. Garcia-Dias <[email protected]>

Refactor test cases in test_spatial_resampled.py to use dict_product …

2a010b1

…for cleaner generation Signed-off-by: R. Garcia-Dias <[email protected]>

Refactor test cases in test_splitdimd.py to use dict_product for clea…

0240249

…ner test generation Signed-off-by: R. Garcia-Dias <[email protected]>

Refactor test cases in test_spacing.py to use dict_product for cleane…

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…r test generation Signed-off-by: R. Garcia-Dias <[email protected]>

Refactor test cases in test_spatial_resample.py to use dict_product f…

51a94c2

…or cleaner test generation Signed-off-by: R. Garcia-Dias <[email protected]>

Refactor test cases in test_pad_mode.py to use dict_product for clean…

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…er test generation Signed-off-by: R. Garcia-Dias <[email protected]>

Refactor test cases in test_spacing.py to use dict_product for cleane…

60f7201

…r test generation Signed-off-by: R. Garcia-Dias <[email protected]>

Remove test_utils.py

9214fca

Signed-off-by: R. Garcia-Dias <[email protected]>

Merge remote-tracking branch 'upstream/dev' into 8185-test-refactor-2

76033a6

Apply suggestions from code review

1e3339d

Co-authored-by: Eric Kerfoot <[email protected]> Signed-off-by: Rafael Garcia-Dias <[email protected]>

autofix

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Signed-off-by: R. Garcia-Dias <[email protected]>

Merge remote-tracking branch 'upstream/dev' into 8185-test-refactor-2

e337c8a

autofix

241e24c

reroll modified tests

1fc0a5b

Signed-off-by: R. Garcia-Dias <[email protected]>

Merge remote-tracking branch 'upstream/dev' into 8185-test-refactor-2

080fc72

Remove wrong param.

2edf166

garciadias force-pushed the 8185-test-refactor-2 branch from 5ae6312 to 2edf166 Compare May 16, 2025 12:31

garciadias and others added 5 commits May 16, 2025 13:41

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Revert "reroll modified tests"

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This reverts commit 1fc0a5b.

Fix gibbs noise tests

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KumoLiu self-requested a review May 23, 2025 14:17

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8185 test refactor 2 #8405

8185 test refactor 2 #8405

garciadias commented Mar 28, 2025 •

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		**({"spatial_dims": 2} if params["nd"] == 2 else {}),
		**({"post_activation": False} if params["nd"] == 2 and params["classification"] else {}),

8185 test refactor 2 #8405

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8185 test refactor 2 #8405

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garciadias commented Mar 28, 2025 •

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