Marek Kolodziej mkolod

ImageNet validation set fix:

The training set is organized in directories, with each directory matching a class, e.g. "n01751748" matching "sea snake." However, the valset is a flat dir of JPEGs. The ImageNet labels provided in the devkit for the validation set (ILSVRC2012_validation_ground_truth.txt) are not consistent with the ordering used by PyTorch/TF/Keras/MXNet/Caffe, etc. for pre-trained models. For example, in the the above ground truth label file, "sea snake" is 490, but in PyTorch/TF, it's 65.
Proof:
- ImageNet validation labels: https://gist.githubusercontent.com/aaronpolhamus/964a4411c0906315deb9f4a3723aac57/raw/aa66dd9dbf6b56649fa3fab83659b2acbf3cbfd1/map_clsloc.txt
- DL framework labels: https://gist.githubusercontent.com/aaronpolhamus/964a4411c0906315deb9f4a3723aac57/raw/aa66dd9dbf6b56649fa3fab83659b2acbf3cbfd1/map_clsloc.txt
Untar the valset file, you will get a flat dir of JPEGs.
Pull in the unflattening script into the directory where the val images were unpa

	class DisjointForest:

	class Subset:

	def __init__(self, elem, parent=None, rank=0):
	self.elem = elem
	self.parent = parent
	self.rank = rank

	def __repr__(self):

	#include <chrono>
	#include <cmath>
	#include <future>
	#include <iostream>
	#include <memory>
	#include <mutex>
	#include <thread>

	template<typename Ret, typename Fun, typename Arg>
	class ReusableWorkerThreadWithFuture {

	# NOTE: The network here is not means to make any sense. It's just for measuring perf impact.
	import torch
	import torch.nn.functional as F
	from time import time

	class Net(torch.nn.Module):
	def __init__(self):
	super(Net, self).__init__()
	fcs = [torch.nn.Linear(10, 100)] + [torch.nn.Linear(100, 100) for _ in range(20)]
	self.fcs = torch.nn.Sequential(*fcs)

	#include <stdio.h>
	#include <thread>
	#include <chrono>
	#include <iostream>

	const int N = 1 << 20;

	__global__ void kernel(float *x, int n)
	{
	int tid = threadIdx.x + blockIdx.x * blockDim.x;

	#include <chrono>
	#include <iostream>
	#include <vector>
	#include <thread>

	__global__ void do_nothing(int time_us, int clock_rate) {
	clock_t start = clock64();
	clock_t end;
	for (;;) {
	end = clock64();