Side note: all available resource metrics are documented here:
These are used for isolating files on disk from both the host system as well as other running tasks.
Side note: all available resource metrics are documented here:
These are used for isolating files on disk from both the host system as well as other running tasks.
from keras.backend import * | |
from keras.backend.tensorflow_backend import _preprocess_conv3d_input, _preprocess_conv3d_kernel, _preprocess_border_mode, _postprocess_conv3d_output | |
def _preprocess_deconv3d_output_shape(shape, dim_ordering): | |
if dim_ordering == 'th': | |
shape = (shape[0], shape[2], shape[3], shape[4], shape[1]) | |
return shape | |
def deconv3d(x, kernel, output_shape, strides=(1, 1, 1), | |
border_mode='valid', |
This script is modeled after tee
(see [man tee
][2]) and works on Linux, macOS, Cygwin, WSL/WSL2
It's like your normal copy and paste commands, but unified and able to sense when you want it to be chainable.
This project started as an answer to the StackOverflow question: [How can I copy the output of a command directly into my clipboard?][3]