import torch import torch.nn as nn from torch.nn import init from torchvision import models from torch.autograd import Variable from apex.fp16_utils import * def fix_bn(m): classname = m.__class__.__name__ if classname.find('BatchNorm') != -1: m.eval() model = models.resnet50(...
For Linux Compute Nodes, the Certificates are stored in a directory inside the Task working directory and an environment variable AZ_BATCH_CERTIFICATES_DIR is supplied to the Task to query for this location. For Certificates with visibility of 'remoteUser', a 'certs' directory is created in ...
When the breakpoint is reached, execution is paused: at this time, you can explore and navigate the TestStand variables tree in Variable pane or click Edit » Find/Replace (CTRL+F) to search for the expected property name or expected property value In the Find Results window, right-click...
Returns a value indicating whether a property can be set. A property can be written if: the class has a setter method associated with the specified name (in this case, property name is case-insensitive); the class has a member variable with the specified name (when$checkVarsis true); ...
"%variable%". how can i create a loop in a batch file? you can create a loop in a batch file using the "for" command. the "for" command allows you to iterate over a set of files, folders, or numbers. you can perform actions for each item in the set or execute a block of ...
Set JAVA_HOME environment variable and add $JAVA_HOME/bin in the PATH environment variable. For example: JAVA_HOME=<jre location> PATH=$JAVA_HOME/bin:$PATH export PATH JAVA_HOME Note: This command can be saved in a .profile file; the batch user can execute .profile before running SIM...
If ManageDependencies is set to "off", explicitly attach model dependencies to the parallel pool. Pool— Number of workers in parallel pool in addition to the worker that runs the batch job integer Number of workers in parallel pool in addition to the worker that runs the batch job, ...
Variable(tf.zeros([num_units]), trainable=False) pop_variance = tf.Variable(tf.ones([num_units]), trainable=False) epsilon = 1e-3 def batch_norm_training(): batch_mean, batch_variance = tf.nn.moments(layer, [0]) decay = 0.99 train_mean = tf.assign(pop_mean, pop_mean * decay ...
The %Name% variable is replaced by the value in the batch parameter during each iteration. If the value in the batch parameter contains spaces or special characters, they are replaced with an underscore. If the value is a path to a dataset, only the dataset name is used. Note: If you ...
Bug description I am using a custom batch sampler with variable batch sizes. Lightning tries to read batch_sampler.batch_size parameter and fails What version are you seeing the problem on? v2.0 How to reproduce the bug class BatchSample...