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02841d1
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1 Parent(s): 1974e22

chore: clean compile function

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Files changed (15) hide show
  1. filters.py +4 -7
  2. filters/black and white/deployment/client.zip +1 -1
  3. filters/black and white/deployment/server.zip +1 -1
  4. filters/blur/deployment/client.zip +1 -1
  5. filters/blur/deployment/server.zip +1 -1
  6. filters/identity/deployment/client.zip +1 -1
  7. filters/identity/deployment/server.zip +1 -1
  8. filters/inverted/deployment/client.zip +1 -1
  9. filters/inverted/deployment/server.zip +1 -1
  10. filters/ridge detection/deployment/client.zip +1 -1
  11. filters/ridge detection/deployment/server.zip +1 -1
  12. filters/rotate/deployment/client.zip +1 -1
  13. filters/rotate/deployment/server.zip +1 -1
  14. filters/sharpen/deployment/client.zip +1 -1
  15. filters/sharpen/deployment/server.zip +1 -1
filters.py CHANGED
@@ -218,14 +218,11 @@ class Filter:
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  def compile(self):
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  """Compile the filter on a representative inputset."""
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- # Generate a random representative set of images used for compilation, following Torch's
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- # shape format (batch, in_channels, image_height, image_width) for each samples
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- # This version's compiler only handles tuples of 1-batch array as inputset, meaning we need
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- # to define the inputset as a Tuple[np.ndarray[shape=(1, 3, H, W)]]
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  np.random.seed(42)
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- # inputset = tuple(
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- # np.random.randint(0, 256, size=((1, 3) + INPUT_SHAPE), dtype=np.int64) for _ in range(100)
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- # )
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  inputset = tuple(
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  np.random.randint(0, 256, size=(INPUT_SHAPE + (3, )), dtype=np.int64) for _ in range(100)
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  )
 
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  def compile(self):
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  """Compile the filter on a representative inputset."""
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+ # Generate a random representative set of images used for compilation, following shape
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+ # PIL's shape RGB format for Numpy arrays (image_width, image_height, 3)
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+ # Additionally, this version's compiler only handles tuples of 1-batch array as inputset,
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+ # meaning we need to define the inputset as a Tuple[np.ndarray[shape=(H, W, 3)]]
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  np.random.seed(42)
 
 
 
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  inputset = tuple(
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  np.random.randint(0, 256, size=(INPUT_SHAPE + (3, )), dtype=np.int64) for _ in range(100)
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  )
filters/black and white/deployment/client.zip CHANGED
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filters/black and white/deployment/server.zip CHANGED
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filters/blur/deployment/client.zip CHANGED
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