Searched full:mobilenet_v2 (Results 1 – 25 of 81) sorted by relevance
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| /external/executorch/examples/models/mobilenet_v2/ |
| D | model.py | 11 from torchvision.models import mobilenet_v2 # @manual
22 logging.info("Loading mobilenet_v2 model")
23 mv2 = mobilenet_v2(weights=MobileNet_V2_Weights.DEFAULT)
24 logging.info("Loaded mobilenet_v2 model")
37 mv2 = mobilenet_v2()
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| /external/executorch/docs/source/ |
| D | tutorial-xnnpack-delegate-lowering.md | 32 mobilenet_v2 = models.mobilenetv2.mobilenet_v2(weights=MobileNet_V2_Weights.DEFAULT).eval()
35 exported_program: ExportedProgram = export(mobilenet_v2, sample_inputs)
83 mobilenet_v2 = models.mobilenetv2.mobilenet_v2(weights=MobileNet_V2_Weights.DEFAULT).eval()
86 mobilenet_v2 = export_for_training(mobilenet_v2, sample_inputs).module() # 2-stage export for quant…
110 quantized_mobilenetv2 = quantize(mobilenet_v2, sample_inputs)
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| /external/XNNPACK/bench/ |
| D | end2end.h | 14 …BENCHMARK_CAPTURE(benchmark_fn, mobilenet_v2, models::FP32MobileNetV2)->Unit(benchmark::kMicroseco…
20 …BENCHMARK_CAPTURE(benchmark_fn, mobilenet_v2, models::QS8MobileNetV2)->Unit(benchmark::kMicrosecon…
24 …BENCHMARK_CAPTURE(benchmark_fn, mobilenet_v2, models::QU8MobileNetV2)->Unit(benchmark::kMicrosecon…
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| /external/executorch/examples/qualcomm/scripts/ |
| D | mobilenet_v2.py | 15 from executorch.examples.models.mobilenet_v2 import MV2Model
123 "Default ./mobilenet_v2",
124 default="./mobilenet_v2",
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| /external/executorch/examples/cadence/models/ |
| D | mobilenet_v2.py | 17 from torchvision.models import mobilenet_v2, MobileNet_V2_Weights
26 model = mobilenet_v2(weights=MobileNet_V2_Weights.DEFAULT)
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| /external/pytorch/test/mobile/model_test/ |
| D | torchvision_models.py | 10 model = models.mobilenet_v2(weights=models.MobileNet_V2_Weights.IMAGENET1K_V1)
27 model = models.mobilenet_v2(weights=models.MobileNet_V2_Weights.IMAGENET1K_V1)
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| D | README.md | 42 - mobilenet_v2
71 python test/mobile/model_test/gen_test_model.py mobilenet_v2
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| /external/executorch/examples/models/ |
| D | __init__.py | 25 "mv2": ("mobilenet_v2", "MV2Model"),
26 "mv2_untrained": ("mobilenet_v2", "MV2UntrainedModel"),
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| /external/pytorch/benchmarks/dynamo/ |
| D | expected_ci_speedup_inductor_torchbench_cpu.csv | 13 mobilenet_v2,export-aot-inductor,float32,static,default,2.90375357
25 #mobilenet_v2,inductor,amp,dynamic,cpp,2.27774577 # https://github.com/pytorch/pytorch/issues/131693
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| D | all_torchbench_models_list.txt | 40 mobilenet_v2
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| D | torchbench_models_list.txt | 13 mobilenet_v2,128
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| D | torchbench_models_list_cpu.txt | 24 mobilenet_v2,16
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| /external/executorch/backends/xnnpack/ |
| D | README.md | 53 mobilenet_v2 = models.mobilenetv2.mobilenet_v2(weights=MobileNet_V2_Weights.DEFAULT).eval()
56 exported_program: ExportedProgram = export(mobilenet_v2, sample_inputs)
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| /external/executorch/backends/example/ |
| D | test_example_delegate.py | 24 from torchvision.models.quantization import mobilenet_v2
75 model = mobilenet_v2(num_classes=3)
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| /external/executorch/examples/qualcomm/ |
| D | README.md | 54 #### For MobileNet_v2
56 python mobilenet_v2.py -s <device_serial> -m "SM8550" -b path/to/build-android/ -d /path/to/imagene…
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| /external/pytorch/ios/TestApp/custom_build/ |
| D | custom_build.py | 7 model = models.mobilenet_v2(weights=models.MobileNet_V2_Weights.IMAGENET1K_V1)
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| /external/pytorch/ios/TestApp/benchmark/ |
| D | trace_model.py | 7 model = models.mobilenet_v2(weights=models.MobileNet_V2_Weights.IMAGENET1K_V1)
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| D | coreml_backend.py | 19 model = models.mobilenet_v2(weights=models.MobileNet_V2_Weights.IMAGENET1K_V1)
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| /external/executorch/examples/mediatek/shell_scripts/ |
| D | export_oss.sh | 19 python3 model_export_scripts/mobilenet_v2.py -d PATH_TO_DATASET
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| /external/pytorch/.ci/docker/common/ |
| D | cache_vision_models.sh | 9 as_jenkins echo 'import torchvision; torchvision.models.mobilenet_v2(pretrained=True); torchvision.…
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| /external/pytorch/android/test_app/ |
| D | make_assets_custom.py | 14 model = models.mobilenet_v2(weights=models.MobileNet_V2_Weights.IMAGENET1K_V1)
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| D | make_assets.py | 20 mobilenet2q = models.quantization.mobilenet_v2(pretrained=True, quantize=True)
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| /external/pytorch/test/mobile/custom_build/ |
| D | prepare_model.py | 14 model = models.mobilenet_v2(weights=models.MobileNet_V2_Weights.IMAGENET1K_V1)
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| /external/pytorch/benchmarks/dynamo/ci_expected_accuracy/ |
| D | aot_eager_torchbench_training.csv | 149 mobilenet_v2,pass,6
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| D | dynamic_aot_eager_torchbench_training.csv | 149 mobilenet_v2,pass,6
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