model_fp32_fused=torch.quantization.fuse_modules(model_fp32,[['conv','relu']])model_fp32_prepared=torch.quantization.prepare(model_fp32_fused)input_fp32=torch.randn(4,1,4,4)model_fp32_prepared(input_fp32)model_
basic_blockinmodule.named_children():torch.quantization.fuse_modules(basic_block, [["conv1","bn1","relu"], ["conv2","bn2"]],inplace=True)forsub_block_name,sub_blockinbasic_block.named_children():ifsub_block_name=="downsample":torch.quantization.fuse_modules(sub_block, [["0","1"]...
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']])
model_fp32_fused = torch.quantization.fuse_modules(model_fp32, [['conv','relu']]) model_fp32_prepared = torch.quantization.prepare(model_fp32_fused) input_fp32 = torch.randn(4,1,4,4) model_fp32_prepared(input_fp32) model_int8 = torch.quantization.convert(model_fp32_prepared) res ...
layers = get_layers_to_fuse() f = torch.quantization.fuse_modules(m,|layers,inplace=False) types_to_quantize = {torch.nn.Conv2d,torch.nn.BatchNorm2d,torch.nn.ReLU} q = torch.quantization.quantize_dynamic(f,types_to_quantize,dtype = torch.qint8) ...
setattr(quantizer.modules[module_parent_name], module_name, fused_module) # 往fuse控制的新模型中加入 新的modules return quantizer.fused_graph.node_copy(root_node, load_arg) # 往fuse控制的新graph中加入forward参数 其中,Conv+bn+relu的融合细节会调用pytorch/torch/ao/quantization/fuser_method_mappings...
setattr(quantizer.modules[module_parent_name], module_name, fused_module) # 往fuse控制的新模型中加入 新的modules return quantizer.fused_graph.node_copy(root_node, load_arg) # 往fuse控制的新graph中加入forward参数 其中,Conv+bn+relu的融合细节会调用pytorch/torch/ao/quantization/fuser_method_mappings...
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_mappings.py...
本文对应第一篇,主要介绍torch.fx和基本使用方法。废话不多说,直接开始吧! 什么是Torch.FX torch.fx是Pytorch 1.8出来的一套工具或者说一个库,是做python-to-python code transformation,大意就是可以把pytorch中的python前向代码转换为你想要的样子,官方介绍如下: ...
本文对应第一篇,主要介绍torch.fx和基本使用方法。废话不多说,直接开始吧! 什么是Torch.FX torch.fx是Pytorch 1.8出来的一套工具或者说一个库,是做python-to-python code transformation,大意就是可以把pytorch中的python前向代码转换为你想要的样子,官方介绍如...