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cchi/eval_
@ -46,8 +46,6 @@ dependencies:
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- diffusers=0.11.1
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- diffusers=0.11.1
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- av=10.0.0
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- av=10.0.0
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- cmake=3.24.3
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- cmake=3.24.3
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# trick to avoid cpu affinity issue described in https://github.com/pytorch/pytorch/issues/99625
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- llvm-openmp=14
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# trick to force reinstall imagecodecs via pip
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# trick to force reinstall imagecodecs via pip
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- imagecodecs==2022.8.8
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- imagecodecs==2022.8.8
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- pip:
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- pip:
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@ -46,8 +46,6 @@ dependencies:
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- diffusers=0.11.1
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- diffusers=0.11.1
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- av=10.0.0
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- av=10.0.0
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- cmake=3.24.3
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- cmake=3.24.3
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# trick to avoid cpu affinity issue described in https://github.com/pytorch/pytorch/issues/99625
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- llvm-openmp=14
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# trick to force reinstall imagecodecs via pip
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# trick to force reinstall imagecodecs via pip
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- imagecodecs==2022.8.8
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- imagecodecs==2022.8.8
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- pip:
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- pip:
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@ -40,7 +40,7 @@ class RotationTransformer:
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getattr(pt, f'matrix_to_{from_rep}')
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getattr(pt, f'matrix_to_{from_rep}')
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]
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]
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if from_convention is not None:
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if from_convention is not None:
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funcs = [functools.partial(func, convention=from_convention)
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funcs = [functools.partial(func, convernsion=from_convention)
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for func in funcs]
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for func in funcs]
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forward_funcs.append(funcs[0])
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forward_funcs.append(funcs[0])
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inverse_funcs.append(funcs[1])
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inverse_funcs.append(funcs[1])
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@ -51,7 +51,7 @@ class RotationTransformer:
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getattr(pt, f'{to_rep}_to_matrix')
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getattr(pt, f'{to_rep}_to_matrix')
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]
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]
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if to_convention is not None:
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if to_convention is not None:
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funcs = [functools.partial(func, convention=to_convention)
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funcs = [functools.partial(func, convernsion=to_convention)
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for func in funcs]
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for func in funcs]
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forward_funcs.append(funcs[0])
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forward_funcs.append(funcs[0])
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inverse_funcs.append(funcs[1])
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inverse_funcs.append(funcs[1])
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