Usually, located at /usr/local/cuda/bin
$ nvprof python train_mnist.py
I prefer to use --print-gpu-trace.
"""Simple example on how to log scalars and images to tensorboard without tensor ops. | |
License: BSD License 2.0 | |
""" | |
__author__ = "Michael Gygli" | |
import tensorflow as tf | |
from StringIO import StringIO | |
import matplotlib.pyplot as plt | |
import numpy as np |
<details> <summary>How do I dropdown?</summary> <br> This is how you dropdown.
def confirm(): | |
""" | |
Ask user to enter Y or N (case-insensitive). | |
:return: True if the answer is Y. | |
:rtype: bool | |
""" | |
answer = "" | |
while answer not in ["y", "n"]: | |
answer = raw_input("OK to push to continue [Y/N]? ").lower() |
# Add the following 'help' target to your Makefile | |
# And add help text after each target name starting with '\#\#' | |
help: ## Show this help. | |
@fgrep -h "##" $(MAKEFILE_LIST) | fgrep -v fgrep | sed -e 's/\\$$//' | sed -e 's/##//' | |
# Everything below is an example | |
target00: ## This message will show up when typing 'make help' | |
@echo does nothing |