Merge branch 'fix-issue-7513' of https://github.com/hyacinth97223/MONAI…

… into fix-issue-7513

 Logs the input summary of a MONAI bundle script to the console and a local log file.
 Each rank's logs are tagged with their rank number and saved to individual log files.
 Reads the base log path from the logging.conf file and creates a separate log file for each rank.
 Add log_all_ranks as a parameter to determine whether to log all ranks or only rank 0.

monai/transforms/utils.py

@@ -582,7 +582,8 @@ def weighted_patch_samples(
  if not v[-1] or not isfinite(v[-1]) or v[-1] < 0: # uniform sampling
  idx = r_state.randint(0, len(v), size=n_samples)
  else:
- r, *_ = convert_to_dst_type(r_state.random(n_samples), v)
+ r_samples = r_state.random(n_samples)
+ r, *_ = convert_to_dst_type(r_samples, v, dtype=r_samples.dtype)
  idx = searchsorted(v, r * v[-1], right=True) # type: ignore
  idx, *_ = convert_to_dst_type(idx, v, dtype=torch.int) # type: ignore
  # compensate 'valid' mode

tests/test_rand_weighted_crop.py

@@ -90,6 +90,21 @@ def get_data(ndim):
  [[63, 37], [31, 43], [66, 20]],
  ]
  )
+ im = SEG1_2D
+ weight_map = np.zeros_like(im, dtype=np.int32)
+ weight_map[0, 30, 20] = 3
+ weight_map[0, 45, 44] = 1
+ weight_map[0, 60, 50] = 2
+ TESTS.append(
+ [
+ "int w 2d",
+ dict(spatial_size=(10, 12), num_samples=3),
+ p(im),
+ q(weight_map),
+ (1, 10, 12),
+ [[60, 50], [30, 20], [45, 44]],
+ ]
+ )
  im = SEG1_3D
  weight = np.zeros_like(im)
  weight[0, 5, 30, 17] = 1.1
@@ -149,6 +164,21 @@ def get_data(ndim):
  [[32, 24, 40], [32, 24, 40], [32, 24, 40]],
  ]
  )
+ im = SEG1_3D
+ weight_map = np.zeros_like(im, dtype=np.int32)
+ weight_map[0, 6, 22, 19] = 4
+ weight_map[0, 8, 40, 31] = 2
+ weight_map[0, 13, 20, 24] = 3
+ TESTS.append(
+ [
+ "int w 3d",
+ dict(spatial_size=(8, 10, 12), num_samples=3),
+ p(im),
+ q(weight_map),
+ (1, 8, 10, 12),
+ [[13, 20, 24], [6, 22, 19], [8, 40, 31]],
+ ]
+ )
 
 
 class TestRandWeightedCrop(CropTest):