torch.nn.quantized.functional.conv2d torch.nn.quantized.functional.linear torch.nn.qat Quantization aware training models quantization during training of both weights and activations. This is done by inserting fake quantization operations. For modules that do not have weights, inserting fake-quant operat...
model_fp32_fused = torch.quantization.fuse_modules(model_fp32, [['conv', 'relu']]) 情形二:将conv、bn和relu相融合 bn指:self.bn model_fp32_fused = torch.quantization.fuse_modules(model_fp32, [['conv', 'bn', 'relu']])
Simply model., fuse usingtorch.quantizationthe result not same: def model_equivalence(model_1, model_2, device, rtol=1e-05, atol=1e-08, num_tests=100, input_size=(1, 3, 32, 32)): model_1.to(device) model_2.to(device) for _ in range(num_tests): x = torch.rand(size=input...
torch.ao.quantization 模块可能在某些PyTorch版本中不可用。你需要确认你的PyTorch版本是否支持该模块。通常,这个模块在较新的PyTorch版本中可用。你可以通过上面的代码片段来检查你的PyTorch版本。 如果你的版本过旧,你可能需要升级到支持该模块的版本。你可以访问PyTorch的GitHub仓库或PyTorch官方文档来查找支持该模块的具...
It seems like torch.quantization.FakeQuantize does not work for the given situation. And quantization where we choose dtype, like dynamic_quantization, is a non-starter since it has so few float types to choose from. Also many "normal" ways of doing this do not seem compatible with the ten...
ImportError: cannot import name 'QuantStub' from 'torch.ao.quantization' (E:\Eprogramfiles\Anaconda3\lib\site-packages\torch\ao\quanti
PyTorch native quantization and sparsity for training and inference - ao/torchao/quantization/quant_api.py at cd73053047bdb51ca10b3f7649db99b651a0678e · pytorch/ao
Run PyTorch LLMs locally on servers, desktop and mobile - torchchat/quantization/quantize.py at 147c292dd2994be664ea415ea7ff580dcc1fdb3a · pytorch/torchchat
No response cc@svekars@carljparker ContributorAuthor ahoblitzchanged the titletorch/quantization pydocstyleNov 5, 2023 ahoblitzmentioned this issueNov 5, 2023 docstyle _correct_bias.py _equalize.py _learnable_fake_quantize.py backend_config experimental fake_quantize.py fuse_modules.py fuser_method...
PyTorch native quantization and sparsity for training and inference - ao/torchao/quantization/utils.py at main · pytorch/ao