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ResNet: Update seed_everything and accuracy goal #646

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Merged
jambayk merged 2 commits into from
Oct 16, 2023
Merged

ResNet: Update seed_everything and accuracy goal #646

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08f681f
update seed everything and accuracy threshold
jambayk Oct 16, 2023
8828fc7
nit
jambayk Oct 16, 2023
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9 changes: 7 additions & 2 deletions examples/resnet/prepare_model_data.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,7 @@
import urllib.request
from pathlib import Path

import numpy as np
import torch
import torch.nn as nn
import torchvision
Expand Down Expand Up @@ -54,11 +55,15 @@ def update_lr(optimizer, lr):
param_group["lr"] = lr


def prepare_model(num_epochs=0, models_dir="models", data_dir="data"):
# seed everything to 0
def prepare_model(num_epochs=1, models_dir="models", data_dir="data"):
# seed everything to 0 for reproducibility, https://pytorch.org/docs/stable/notes/randomness.html
random.seed(0)
np.random.seed(0)
torch.manual_seed(0)
# the following are needed only for GPU
torch.cuda.manual_seed(0)
torch.backends.cudnn.deterministic = True
torch.backends.cudnn.benchmark = False

device = torch.device("cuda" if torch.cuda.is_available() else "cpu")

Expand Down
2 changes: 1 addition & 1 deletion examples/resnet/resnet_ptq_cpu.json
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Expand Up @@ -24,7 +24,7 @@
{
"name": "accuracy_custom",
"priority": 1, "higher_is_better": true,
"goal": {"type": "max-degradation", "value": 0.1}
"goal": {"type": "max-degradation", "value": 0.05}
}
],
"user_config":{
Expand Down
5 changes: 2 additions & 3 deletions examples/resnet/resnet_ptq_cpu_aml_dataset.json
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Expand Up @@ -29,7 +29,7 @@
{
"name": "accuracy_custom",
"priority": 1, "higher_is_better": true,
"goal": {"type": "max-degradation", "value": 0.01}
"goal": {"type": "max-degradation", "value": 0.05}
}
],
"user_config":{
Expand All @@ -52,7 +52,7 @@
{
"name": "avg",
"priority": 2,
"goal": {"type": "percent-min-improvement", "value": 20}
"goal": {"type": "percent-min-improvement", "value": 10}
}
],
"user_config":{
Expand Down Expand Up @@ -119,7 +119,6 @@
"evaluator": "common_evaluator",
"execution_providers": ["CPUExecutionProvider"],
"cache_dir": "cache",
"clean_cache": true,
"output_dir": "models/resnet_ptq_cpu"
}
}