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https://github.com/pytorch/pytorch.git
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53c1dca6a3
This adds 2 jobs to build PyTorch Android with and without lite interpreter: * Keep the list of currently supported ABI armeabi-v7a, arm64-v8a, x86, x86_64 * Pass all the test on emulator * Run an the test app on emulator and my Android phone `arm64-v8a` without any issue  * Run on AWS https://us-west-2.console.aws.amazon.com/devicefarm/home#/mobile/projects/b531574a-fb82-40ae-b687-8f0b81341ae0/runs/5fce6818-628a-4099-9aab-23e91a212076 Pull Request resolved: https://github.com/pytorch/pytorch/pull/110976 Approved by: https://github.com/atalman
56 lines
1.7 KiB
Python
56 lines
1.7 KiB
Python
import torch
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import torchvision
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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 = torchvision.models.mobilenet_v2(pretrained=True)
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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 = torchvision.models.mobilenet_v2(pretrained=True)
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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 = torchvision.models.resnet18(pretrained=True)
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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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