carlosejimenez’s gists

carlosejimenez / get_docker_image_keys.py

Last active February 12, 2025 02:34

Get docker image keys for

	from huggingface import load_dataset
	from argparse import ArgumentParser


	def get_docker_image_key(key, dataset_prefix):
	return f'swebench/sweb.{dataset_prefix}.x86_64.{key.lower()}:latest'.replace('__', '_1776_')


	def main(dataset_name, instance_ids=None):
	dataset_prefix = 'mm.eval' if 'multimodal' in dataset_name.lower() else 'eval'

carlosejimenez / context_blurring.py

Created February 16, 2021 22:55

	def get_bbox(obj, max_x, max_y, padding=6):
	x0, y0 = obj['x'], obj['y']
	x1, y1 = x0 + obj['w'], y0 + obj['h']
	return max(x0-padding, 0), min(x1+padding, max_x), max(y0-padding, 0), min(y1+padding, max_y)

	def blur_context(img, sigma, bboxes):
	ksize = 0
	img_blurred = cv2.GaussianBlur(img, (ksize, ksize), sigma)
	objs_mask = np.zeros_like(img)
	for bbox in bboxes:

carlosejimenez / gist:2dc41f9ef6a66abea8049da4d5948d9d

Created December 5, 2019 09:30

get_dense_gradients

	def get_dense_gradients(self, client_grads, k=6):
	if type(client_grads[0]) != list:
	client_grads = [client_grads]
	return list(map(lambda x: x[2][k].flatten(), client_grads))

carlosejimenez / random.cpp

Created September 1, 2019 22:01

modified random

	#include <stdio.h>
	#include <stdlib.h>
	#include <time.h>

	////////////////////////////////
	// Constants
	////////////////////////////////

	/* DP Mantissa Mask Bits */
	long long DPMANT = 0x000fffffffffffff;

carlosejimenez / random.cpp

Created September 1, 2019 22:01

modified random

	#include <stdio.h>
	#include <stdlib.h>
	#include <time.h>

	////////////////////////////////
	// Constants
	////////////////////////////////

	/* DP Mantissa Mask Bits */
	long long DPMANT = 0x000fffffffffffff;

carlosejimenez / params.txt

Last active August 26, 2019 22:09

params for Austin 2

	--arch fpnetx_y --arch-args 45 6 --epochs 60 --process t2_rel --logdir c00013 --dataset random_9m --optimizer adam --schedule 15 30 45 --lr 0.01 --gamma 0.1
	--arch fpnetx_y --arch-args 70 3 --epochs 60 --process t2_rel --logdir c00014 --dataset random_9m --optimizer adam --schedule 15 30 45 --lr 0.01 --gamma 0.1
	--arch fpnetx_y --arch-args 45 6 --epochs 60 --process t2_rel --logdir c00015 --dataset random_9m --optimizer adam --schedule 15 30 45 --lr 0.01 --gamma 0.4
	--arch fpnetx_y --arch-args 70 3 --epochs 60 --process t2_rel --logdir c00016 --dataset random_9m --optimizer adam --schedule 15 30 45 --lr 0.01 --gamma 0.4

carlos carlosejimenez