Some Code Errors

[hualimin]

1.使用validation验证给出的训练模型，得到的结果只有一个简单的tenseor数据，数据的意义是什么、

2.真实数据代码部分，validation_realWorld报错，内容如下

RuntimeError: Error(s) in loading state_dict for Job_Actor:
Unexpected key(s) in state_dict: "feature_extract.mlps.0.linears.0.weight", "feature_extract.mlps.0.linears.0.bias", "feature_extract.mlps.0.linears.1.weight", "feature_extract.mlps.0.linears.1.bias", "feature_extract.mlps.0.linears.2.weight", "feature_extract.mlps.0.linears.2.bias", "feature_extract.mlps.0.batch_norms.0.weight", "feature_extract.mlps.0.batch_norms.0.bias", "feature_extract.mlps.0.batch_norms.0.running_mean", "feature_extract.mlps.0.batch_norms.0.running_var", "feature_extract.mlps.0.batch_norms.0.num_batches_tracked", "feature_extract.mlps.0.batch_norms.1.weight", "feature_extract.mlps.0.batch_norms.1.bias", "feature_extract.mlps.0.batch_norms.1.running_mean", "feature_extract.mlps.0.batch_norms.1.running_var", "feature_extract.mlps.0.batch_norms.1.num_batches_tracked", "feature_extract.mlps.1.linears.0.weight", "feature_extract.mlps.1.linears.0.bias", "feature_extract.mlps.1.linears.1.weight", "feature_extract.mlps.1.linears.1.bias", "feature_extract.mlps.1.linears.2.weight", "feature_extract.mlps.1.linears.2.bias", "feature_extract.mlps.1.batch_norms.0.weight", "feature_extract.mlps.1.batch_norms.0.bias", "feature_extract.mlps.1.batch_norms.0.running_mean", "feature_extract.mlps.1.batch_norms.0.running_var", "feature_extract.mlps.1.batch_norms.0.num_batches_tracked", "feature_extract.mlps.1.batch_norms.1.weight", "feature_extract.mlps.1.batch_norms.1.bias", "feature_extract.mlps.1.batch_norms.1.running_mean", "feature_extract.mlps.1.batch_norms.1.running_var", "feature_extract.mlps.1.batch_norms.1.num_batches_tracked", "feature_extract.bn.weight", "feature_extract.bn.bias", "feature_extract.bn.running_mean", "feature_extract.bn.running_var", "feature_extract.bn.num_batches_tracked", "feature_extract.batch_norms.0.weight", "feature_extract.batch_norms.0.bias", "feature_extract.batch_norms.0.running_mean", "feature_extract.batch_norms.0.running_var", "feature_extract.batch_norms.0.num_batches_tracked", "feature_extract.batch_norms.1.weight", "feature_extract.batch_norms.1.bias", "feature_extract.batch_norms.1.running_mean", "feature_extract.batch_norms.1.running_var", "feature_extract.batch_norms.1.num_batches_tracked".

3.真实数据训练模型时，显示No module named 'FJSP_Env1'，只看到了FJSP_Env，遗漏了文件吗？
改成FJSP_Env，报错：TypeError: init() missing 1 required positional argument: 'EachJob_num_operation'

[Ann19941118]

跟楼上同样的问题，mark一下

[miemiedexiaoyang]

Is it solved?