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Update old pretrained TorchVision API in ao tutorials #313

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5 changes: 3 additions & 2 deletions tutorials/quantize_vit/run_vit_b.py
Original file line number Diff line number Diff line change
@@ -1,10 +1,11 @@
import torch
import torchvision.models.vision_transformer as models

from torchao.utils import benchmark_model, profiler_runner
from torchvision import models

torch.set_float32_matmul_precision("high")
# Load Vision Transformer model
model = models.vit_b_16(pretrained=True)
model = models.vit_b_16(weights=models.ViT_B_16_Weights.IMAGENET1K_V1)

# Set the model to evaluation mode
model.eval().cuda().to(torch.bfloat16)
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5 changes: 3 additions & 2 deletions tutorials/quantize_vit/run_vit_b_quant.py
Original file line number Diff line number Diff line change
@@ -1,11 +1,12 @@
import torch
import torchao
import torchvision.models.vision_transformer as models

from torchao.utils import benchmark_model, profiler_runner
from torchvision import models

torch.set_float32_matmul_precision("high")
# Load Vision Transformer model
model = models.vit_b_16(pretrained=True)
model = models.vit_b_16(weights=models.ViT_B_16_Weights.IMAGENET1K_V1)

# Set the model to evaluation mode
model.eval().cuda().to(torch.bfloat16)
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