deebuls
/ 1-pw_op_fusion.py
Created
January 22, 2023 11:35
— forked from Chillee/1-pw_op_fusion.py
PT 2.0 Benchmarks
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| import torch | |
| import torch._inductor.config | |
| import time | |
| torch._inductor.config.triton.cudagraphs = False | |
| torch.set_float32_matmul_precision('high') | |
| def bench(f, name=None, iters=100, warmup=5, display=True, profile=False): | |
| for _ in range(warmup): | |
| f() |
deebuls
/ train_cifar.py
Created
September 2, 2020 12:16
— forked from y0ast/train_cifar.py
Getting high accuracy on CIFAR-10 is not straightforward. This self-contained script gets to 94% accuracy with a minimal setup. You can download a model trained with this script from: https://files.joo.st/cifar_model.pt
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| import argparse | |
| from tqdm import tqdm | |
| import torch | |
| import torch.nn.functional as F | |
| from torchvision import models, datasets, transforms | |
| def get_CIFAR10(root="./"): |
deebuls
/ boston.json
Last active
August 29, 2015 14:27
— forked from pprett/boston.json
Decision Tree Viewer (D3 and Sklearn)
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| {"error": 42716.2954, "samples": 506, "value": [22.532806324110698], "label": "RM <= 6.94", "type": "split", "children": [{"error": 17317.3210, "samples": 430, "value": [19.93372093023257], "label": "LSTAT <= 14.40", "type": "split", "children": [{"error": 6632.2175, "samples": 255, "value": [23.349803921568636], "label": "DIS <= 1.38", "type": "split", "children": [{"error": 390.7280, "samples": 5, "value": [45.58], "label": "CRIM <= 10.59", "type": "split", "children": [{"error": 0.0000, "samples": 4, "value": [50.0], "label": "Leaf - 4", "type": "leaf"}, {"error": 0.0000, "samples": 1, "value": [27.9], "label": "Leaf - 5", "type": "leaf"}]}, {"error": 3721.1632, "samples": 250, "value": [22.90520000000001], "label": "RM <= 6.54", "type": "split", "children": [{"error": 1636.0675, "samples": 195, "value": [21.629743589743576], "label": "LSTAT <= 7.57", "type": "split", "children": [{"error": 129.6307, "samples": 43, "value": [23.969767441860473], "label": "TAX <= 222.50", "type": "split", "children": [{"err |