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
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...
确认PyTorch版本是否支持torch.ao.quantization模块: torch.ao.quantization模块是PyTorch中的一部分,用于模型的量化。不同的PyTorch版本可能包含不同的模块和特性。你可以通过访问PyTorch官方文档来查看当前版本的PyTorch是否包含该模块。如果文档中没有提到torch.ao.quantization,那么可能是因为你的PyTorch版本不支持该模块,...
ImportError: cannot import name 'QuantStub' from 'torch.ao.quantization' (E:\Eprogramfiles\Anaconda3\lib\site-packages\torch\ao\quanti
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/quant_api.py at v0.7.0 · pytorch/ao
fromtorchao.dtypesimportInt4CPULayout quant_scheme,quant_scheme_kwargs="int8_dynamic_activation_int8_weight", {} ORIGINAL_EXPECTED_OUTPUT="What are we having for dinner?\n\nJessica: (smiling)" SERIALIZED_EXPECTED_OUTPUT=ORIGINAL_EXPECTED_OUTPUT ...
Run PyTorch LLMs locally on servers, desktop and mobile - torchchat/quantization/quantize.py at main · kuizhiqing/torchchat
🐛 Describe the bug from torch.ao.quantization.quantizer import ( XNNPACKQuantizer, get_symmetric_quantization_config, ) the code abve report error: ImportError: cannot import name 'XNNPACKQuantizer' from 'torch.ao.quantization.quantizer'...