MMM循环互助智能合约系统开发DAPP技术搭建
NFT系统开发,188-合约1928-系统8024,区块链网络中的每台计算机都有自己的区块链副本,这意味着相同的区块链有成千上万的副本,或者就而言,有数百万的副本。尽管区块链的每个副本都是相同的,但是在计算机网络中传播这些信息会增加操作的难度。对于区块链,没有一个单一的、确定的、可以操纵的事件描述。相反,需要操作网络上的每个区块链副本。
import torch
model.load_state_dict(torch.load("name.pth"))
model.eva l()
dummy_input=torch.randn(1,3,32,32)
#dummy_input_2=torch.randn(1,3,64,64)
torch.onnx.export(model,dummy_input,'name.onnx',verbose=True,opset_version=9/10/11)
#多输入,opset_version根据torch的版本决定,转onnx的时候提示的
#torch.onnx.export(model,[dummy_input,dummy_input_2],'name.onnx',verbose=True,opset_version=9/10/11)
#指定输入和输出导出onnx
#input_names=["input_1"]
#output_names=["output1"]
#torch.onnx.export(model,(dummy_input1,dummy_input2),"name.onnx",verbose=True,input_names=input_names,output_names=output_names)
为智能物流模式应用节约时间成本。区块链结点具有十分自由的进出能力,可独立的参与或离开区块链体系,不对整个区块链体系有任何干扰。区块链大数据解决方案就利用了大数据的整合能力,促使物联网基础用户拓展更具有方向性,便于在智能物流的分散用户之间实现用户拓展
Only tuples,lists and Variables are supported as JIT inputs/outputs.Dictionaries and strings are also accepted but their usage is not recommended.Users need to verify their dict inputs carefully,and keep in mind that dynamic lookups are not available.
torch.onnx.export(
model,
(x,
#WRONG:will be interpreted as named arguments
{y:z}),
"test.onnx.pb")
#纠正
torch.onnx.export(
model,
(x,
{y:z},
{}),
"test.onnx.pb")
import torch
model.load_state_dict(torch.load("name.pth"))
model.eva l()
dummy_input=torch.randn(1,3,32,32)
#dummy_input_2=torch.randn(1,3,64,64)
torch.onnx.export(model,dummy_input,'name.onnx',verbose=True,opset_version=9/10/11)
#多输入,opset_version根据torch的版本决定,转onnx的时候提示的
#torch.onnx.export(model,[dummy_input,dummy_input_2],'name.onnx',verbose=True,opset_version=9/10/11)
#指定输入和输出导出onnx
#input_names=["input_1"]
#output_names=["output1"]
#torch.onnx.export(model,(dummy_input1,dummy_input2),"name.onnx",verbose=True,input_names=input_names,output_names=output_names)
为智能物流模式应用节约时间成本。区块链结点具有十分自由的进出能力,可独立的参与或离开区块链体系,不对整个区块链体系有任何干扰。区块链大数据解决方案就利用了大数据的整合能力,促使物联网基础用户拓展更具有方向性,便于在智能物流的分散用户之间实现用户拓展
Only tuples,lists and Variables are supported as JIT inputs/outputs.Dictionaries and strings are also accepted but their usage is not recommended.Users need to verify their dict inputs carefully,and keep in mind that dynamic lookups are not available.
torch.onnx.export(
model,
(x,
#WRONG:will be interpreted as named arguments
{y:z}),
"test.onnx.pb")
#纠正
torch.onnx.export(
model,
(x,
{y:z},
{}),
"test.onnx.pb")