move test utils to core library

Summary: Not d2go.tests is not a library for oss, move utils code to d2go.utils.testing

Reviewed By: zhanghang1989

Differential Revision: D26706933

fbshipit-source-id: 85767b66bbb6c67db05e11823beb4840220b2aa3

d2go/utils/testing/__init__.py

+#!/usr/bin/env python3
+# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved

tests/data_loader_helper.py → d2go/utils/testing/data_loader_helper.py

@@ -140,7 +140,7 @@ def create_local_dataset(
         "meta_data": meta_data,
     }
     if is_rotated:
-        split_dict['evaluator_type'] = "rotated_coco"
+        split_dict["evaluator_type"] = "rotated_coco"
     register_dataset_split(dataset_name, split_dict)
 
     return dataset_name

tests/helper.py → d2go/utils/testing/helper.py

@@ -2,7 +2,6 @@
 # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
 
 
-import os
 from functools import wraps
 from tempfile import TemporaryDirectory
 
@@ -42,6 +41,7 @@ def enable_ddp_env(func):
 
     return wrapper
 
+
 def tempdir(func):
     """ A decorator for creating a tempory directory that is cleaned up after function execution. """
 

tests/lightning_test_module.py → d2go/utils/testing/lightning_test_module.py

@@ -2,8 +2,6 @@
 # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
 
 # pyre-unsafe
-from functools import wraps
-from tempfile import TemporaryDirectory
 from typing import Optional
 
 import torch

tests/meta_arch_helper.py → d2go/utils/testing/meta_arch_helper.py

@@ -3,11 +3,10 @@
 
 
 import torch
+from d2go.utils.testing.data_loader_helper import create_local_dataset
 from detectron2.modeling import META_ARCH_REGISTRY
 from detectron2.structures import Boxes, ImageList, Instances
 
-from d2go.tests.data_loader_helper import create_local_dataset
-
 
 @META_ARCH_REGISTRY.register()
 class DetMetaArchForTest(torch.nn.Module):

setup.py

@@ -93,4 +93,3 @@ if __name__ == '__main__':
             ]
         },
     )
-

tests/test_d2go_datasets.py

@@ -9,7 +9,10 @@ import unittest
 import d2go.data.extended_coco as extended_coco
 from d2go.data.utils import maybe_subsample_n_images
 from d2go.runner import Detectron2GoRunner
-from d2go.tests.data_loader_helper import LocalImageGenerator, create_toy_dataset
+from d2go.utils.testing.data_loader_helper import (
+    LocalImageGenerator,
+    create_toy_dataset,
+)
 from detectron2.data import DatasetCatalog
 from mobile_cv.common.misc.file_utils import make_temp_directory
 

tests/test_data_loader.py

@@ -5,11 +5,12 @@
 import os
 import unittest
 
-from d2go.runner import GeneralizedRCNNRunner, create_runner
+from d2go.runner import create_runner
+from d2go.utils.testing.data_loader_helper import (
+    LocalImageGenerator,
+    register_toy_dataset,
+)
 from mobile_cv.common.misc.file_utils import make_temp_directory
-from PIL import Image
-
-from d2go.tests.data_loader_helper import LocalImageGenerator, register_toy_dataset
 
 
 class TestD2GoDatasetMapper(unittest.TestCase):

tests/test_data_transforms_color_yuv.py

@@ -6,20 +6,22 @@ import unittest
 
 import numpy as np
 from d2go.data.transforms import color_yuv as cy
+from d2go.data.transforms.build import build_transform_gen
 from d2go.runner import Detectron2GoRunner
 from detectron2.data.transforms import apply_augmentations
-from d2go.data.transforms.build import build_transform_gen
 
 
 class TestDataTransformsColorYUV(unittest.TestCase):
-
     def test_yuv_color_transforms(self):
         default_cfg = Detectron2GoRunner().get_default_cfg()
-        img = np.concatenate([
+        img = np.concatenate(
+            [
                 np.random.uniform(0, 1, size=(80, 60, 1)),
                 np.random.uniform(-0.5, 0.5, size=(80, 60, 1)),
                 np.random.uniform(-0.5, 0.5, size=(80, 60, 1)),
-        ], axis=2)
+            ],
+            axis=2,
+        )
 
         default_cfg.D2GO_DATA.AUG_OPS.TRAIN = [
             'RandomContrastYUVOp::{"intensity_min": 0.3, "intensity_max": 0.5}',
@@ -45,7 +47,6 @@ class TestDataTransformsColorYUV(unittest.TestCase):
         self.assertGreater(np.var(high_saturation[:, :, 1]), np.var(img[:, :, 1]))
         self.assertGreater(np.var(high_saturation[:, :, 2]), np.var(img[:, :, 2]))
 
-
     def test_transform_color_yuv_rgbyuv_convert(self):
         image = np.arange(256).reshape(16, 16, 1).repeat(3, axis=2).astype(np.uint8)
         tf1 = cy.RGB2YUVBT601().get_transform(image)

tests/test_kmeans_anchors.py

@@ -7,19 +7,21 @@ import unittest
 
 import numpy as np
 import torch
-from detectron2.data import DatasetCatalog, DatasetFromList, MapDataset
-from detectron2.engine import SimpleTrainer
 from d2go.modeling.kmeans_anchors import (
     add_kmeans_anchors_cfg,
     compute_kmeans_anchors,
     compute_kmeans_anchors_hook,
 )
 from d2go.runner import GeneralizedRCNNRunner
+from d2go.utils.testing.data_loader_helper import (
+    LocalImageGenerator,
+    register_toy_dataset,
+)
+from detectron2.data import DatasetCatalog, DatasetFromList, MapDataset
+from detectron2.engine import SimpleTrainer
 from mobile_cv.common.misc.file_utils import make_temp_directory
 from torch.utils.data.sampler import BatchSampler, Sampler
 
-from d2go.tests.data_loader_helper import LocalImageGenerator, register_toy_dataset
-
 
 class IntervalSampler(Sampler):
     def __init__(self, size: int, interval: int):

tests/test_lightning_train_net.py

@@ -9,9 +9,9 @@ import numpy as np
 from d2go.config import CfgNode
 from d2go.config.utils import flatten_config_dict
 from d2go.runner.lightning_task import GeneralizedRCNNTask
-from d2go.tests import meta_arch_helper as mah
-from d2go.tests.helper import tempdir
 from d2go.tools.lightning_train_net import main, FINAL_MODEL_CKPT
+from d2go.utils.testing import meta_arch_helper as mah
+from d2go.utils.testing.helper import tempdir
 
 
 class TestLightningTrainNet(unittest.TestCase):

tests/test_modeling_image_pooler.py

@@ -8,10 +8,9 @@ import d2go.data.transforms.box_utils as bu
 import d2go.modeling.image_pooler as image_pooler
 import numpy as np
 import torch
+from d2go.utils.testing import rcnn_helper as rh
 from detectron2.structures import Boxes
 
-from d2go.tests import rcnn_helper as rh
-
 
 class TestModelingImagePooler(unittest.TestCase):
     def test_image_pooler(self):

tests/test_modeling_model_ema.py

@@ -6,11 +6,10 @@ import copy
 import itertools
 import unittest
 
+import d2go.runner.default_runner as default_runner
 import torch
 from d2go.modeling import model_ema
-import d2go.runner.default_runner as default_runner
-
-from d2go.tests import helper
+from d2go.utils.testing import helper
 
 
 class TestArch(torch.nn.Module):
@@ -174,6 +173,4 @@ class TestModelingModelEMAHook(unittest.TestCase):
 
         out_model = TestArch()
         ema_checkpointers["ema_state"].apply_to(out_model)
-        self.assertTrue(
-            _compare_state_dict(out_model, model)
-        )
+        self.assertTrue(_compare_state_dict(out_model, model))

tests/test_rcnn_helper.py

@@ -6,10 +6,9 @@ import unittest
 
 import numpy as np
 import torch
+from d2go.utils.testing import rcnn_helper as rh
 from detectron2.structures import Boxes
 
-from d2go.tests import rcnn_helper as rh
-
 
 class TestRCNNHelper(unittest.TestCase):
     def test_get_instances_from_image(self):

tests/test_runner_default_runner.py

@@ -9,6 +9,8 @@ import unittest
 
 import d2go.runner.default_runner as default_runner
 import torch
+from d2go.utils.testing import helper
+from d2go.utils.testing.data_loader_helper import create_local_dataset
 from detectron2.evaluation import COCOEvaluator, RotatedCOCOEvaluator
 from detectron2.modeling import META_ARCH_REGISTRY
 from detectron2.structures import Boxes, ImageList, Instances
@@ -17,9 +19,6 @@ from mobile_cv.arch.quantization.qconfig import (
 )
 from torch.nn.parallel import DistributedDataParallel
 
-from d2go.tests import helper
-from d2go.tests.data_loader_helper import create_local_dataset
-
 
 @META_ARCH_REGISTRY.register()
 class MetaArchForTest(torch.nn.Module):
@@ -328,6 +327,7 @@ class TestDefaultRunner(unittest.TestCase):
 
             default_runner._close_all_tbx_writers()
 
+
 def _compare_state_dict(sd1, sd2, abs_error=1e-3):
     if len(sd1) != len(sd2):
         return False

tests/test_runner_lightning_quantization.py

@@ -13,9 +13,9 @@ from d2go.runner.callbacks.quantization import (
     get_default_qconfig,
     get_default_qat_qconfig,
 )
-from d2go.tests.helper import tempdir
-from d2go.tests.lightning_test_module import TestModule
 from d2go.utils.misc import mode
+from d2go.utils.testing.helper import tempdir
+from d2go.utils.testing.lightning_test_module import TestModule
 from pytorch_lightning import Trainer, seed_everything
 from pytorch_lightning.callbacks.model_checkpoint import ModelCheckpoint
 from torch.quantization.quantize_fx import convert_fx, prepare_fx, prepare_qat_fx

tests/test_runner_lightning_task.py

@@ -12,7 +12,7 @@ import pytorch_lightning as pl  # type: ignore
 import torch
 from d2go.config import CfgNode
 from d2go.runner.lightning_task import GeneralizedRCNNTask
-from d2go.tests import meta_arch_helper as mah
+from d2go.utils.testing import meta_arch_helper as mah
 from detectron2.utils.events import EventStorage
 from pytorch_lightning.callbacks.model_checkpoint import ModelCheckpoint
 from torch import Tensor