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# Copyright (c) OpenMMLab. All rights reserved.
import functools
class OutputHook:
def __init__(self, module, outputs=None, as_tensor=False):
self.outputs = outputs
self.as_tensor = as_tensor
self.layer_outputs = {}
self.register(module)
def register(self, module):
def hook_wrapper(name):
def hook(model, input, output):
if self.as_tensor:
self.layer_outputs[name] = output
else:
if isinstance(output, list):
self.layer_outputs[name] = [
out.detach().cpu().numpy() for out in output
]
else:
self.layer_outputs[name] = output.detach().cpu().numpy(
)
return hook
self.handles = []
if isinstance(self.outputs, (list, tuple)):
for name in self.outputs:
try:
layer = rgetattr(module, name)
h = layer.register_forward_hook(hook_wrapper(name))
except ModuleNotFoundError as module_not_found:
raise ModuleNotFoundError(
f'Module {name} not found') from module_not_found
self.handles.append(h)
def remove(self):
for h in self.handles:
h.remove()
def __enter__(self):
return self
def __exit__(self, exc_type, exc_val, exc_tb):
self.remove()
# using wonder's beautiful simplification:
# https://stackoverflow.com/questions/31174295/getattr-and-setattr-on-nested-objects
def rgetattr(obj, attr, *args):
def _getattr(obj, attr):
return getattr(obj, attr, *args)
return functools.reduce(_getattr, [obj] + attr.split('.'))
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