/usr/local/lib64/python3.6/site-packages/torch/utils/tensorboard
Edit: /usr/local/lib64/python3.6/site-packages/torch/utils/tensorboard/_convert_np.py (885B)
"""
This module converts objects into numpy array.
"""
import numpy as np
import torch
def make_np(x):
"""
Args:
x: An instance of torch tensor or caffe blob name
Returns:
numpy.array: Numpy array
"""
if isinstance(x, np.ndarray):
return x
if isinstance(x, str): # Caffe2 will pass name of blob(s) to fetch
return _prepare_caffe2(x)
if np.isscalar(x):
return np.array([x])
if isinstance(x, torch.Tensor):
return _prepare_pytorch(x)
raise NotImplementedError(
'Got {}, but numpy array, torch tensor, or caffe2 blob name are expected.'.format(type(x)))
def _prepare_pytorch(x):
if isinstance(x, torch.autograd.Variable):
x = x.data
x = x.cpu().numpy()
return x
def _prepare_caffe2(x):
from caffe2.python import workspace
x = workspace.FetchBlob(x)
return x