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Summary: There is a module called `2to3` which you can target for future specifically to remove these, the directory of `caffe2` has the most redundant imports: ```2to3 -f future -w caffe2``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/45033 Reviewed By: seemethere Differential Revision: D23808648 Pulled By: bugra fbshipit-source-id: 38971900f0fe43ab44a9168e57f2307580d36a38
35 lines
1.1 KiB
Python
35 lines
1.1 KiB
Python
## @package tools
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# Module caffe2.python.helpers.tools
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def image_input(
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model, blob_in, blob_out, order="NCHW", use_gpu_transform=False, **kwargs
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):
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assert 'is_test' in kwargs, "Argument 'is_test' is required"
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if order == "NCHW":
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if (use_gpu_transform):
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kwargs['use_gpu_transform'] = 1 if use_gpu_transform else 0
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# GPU transform will handle NHWC -> NCHW
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outputs = model.net.ImageInput(blob_in, blob_out, **kwargs)
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pass
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else:
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outputs = model.net.ImageInput(
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blob_in, [blob_out[0] + '_nhwc'] + blob_out[1:], **kwargs
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)
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outputs_list = list(outputs)
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outputs_list[0] = model.net.NHWC2NCHW(outputs_list[0], blob_out[0])
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outputs = tuple(outputs_list)
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else:
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outputs = model.net.ImageInput(blob_in, blob_out, **kwargs)
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return outputs
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def video_input(model, blob_in, blob_out, **kwargs):
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# size of outputs can vary depending on kwargs
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outputs = model.net.VideoInput(blob_in, blob_out, **kwargs)
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return outputs
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