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7763c83af6
The `usort` config in `pyproject.toml` has no effect due to a typo. Fixing the typo make `usort` do more and generate the changes in the PR. Except `pyproject.toml`, all changes are generated by `lintrunner -a --take UFMT --all-files`. Pull Request resolved: https://github.com/pytorch/pytorch/pull/127126 Approved by: https://github.com/kit1980 ghstack dependencies: #127122, #127123, #127124, #127125
57 lines
1.8 KiB
Python
57 lines
1.8 KiB
Python
from torchvision import models
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import torch
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from torch.utils.bundled_inputs import augment_model_with_bundled_inputs
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from torch.utils.mobile_optimizer import optimize_for_mobile
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class MobileNetV2Module:
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def getModule(self):
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model = models.mobilenet_v2(weights=models.MobileNet_V2_Weights.IMAGENET1K_V1)
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model.eval()
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example = torch.zeros(1, 3, 224, 224)
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traced_script_module = torch.jit.trace(model, example)
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optimized_module = optimize_for_mobile(traced_script_module)
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augment_model_with_bundled_inputs(
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optimized_module,
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[
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(example,),
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],
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)
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optimized_module(example)
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return optimized_module
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class MobileNetV2VulkanModule:
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def getModule(self):
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model = models.mobilenet_v2(weights=models.MobileNet_V2_Weights.IMAGENET1K_V1)
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model.eval()
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example = torch.zeros(1, 3, 224, 224)
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traced_script_module = torch.jit.trace(model, example)
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optimized_module = optimize_for_mobile(traced_script_module, backend="vulkan")
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augment_model_with_bundled_inputs(
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optimized_module,
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[
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(example,),
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],
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)
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optimized_module(example)
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return optimized_module
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class Resnet18Module:
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def getModule(self):
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model = models.resnet18(weights=models.ResNet18_Weights.IMAGENET1K_V1)
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model.eval()
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example = torch.zeros(1, 3, 224, 224)
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traced_script_module = torch.jit.trace(model, example)
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optimized_module = optimize_for_mobile(traced_script_module)
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augment_model_with_bundled_inputs(
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optimized_module,
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[
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(example,),
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],
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)
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optimized_module(example)
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return optimized_module
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