AttributeError: 'SymbolicTransformer' object has no attribute '_program'

This error occurs when you try to access the `_program` attribute of a `SymbolicTransformer` object, but the object does not have this attribute.

The `_program` attribute is used by some machine learning models to store the program or equation that was learned from the training data. If you are trying to access this attribute in your code, make sure that you have trained the `SymbolicTransformer` object on some data first.

If you are not trying to access this attribute intentionally, then this error may be caused by a bug in your code. Double-check your code for any typos or incorrect variable names.

相关问题

AttributeError: 'Namespace' object has no attribute 'save_dir'

This error means that you are trying to access an attribute called `save_dir` from an object of the class `Namespace`, but this attribute does not exist in that object.

To fix this error, make sure that you have defined the `save_dir` attribute in your object before trying to access it. You can do this by either setting the attribute directly or by passing it as a command line argument when running your program.

For example, if you are using the argparse module to parse command line arguments, you can define the `save_dir` attribute like this:

import argparse

parser = argparse.ArgumentParser()
parser.add_argument('--save_dir', type=str, default='.')
args = parser.parse_args()

# Now you can access the save_dir attribute like this:
print(args.save_dir)

If you are not using argparse, make sure you define the `save_dir` attribute in your object before trying to access it.

AttributeError: 'bool' object has no attribute 'requires_grad'

This error occurs when you try to access the `requires_grad` attribute of a boolean value. The `requires_grad` attribute is used in PyTorch to indicate whether a tensor requires gradients to be computed during backpropagation.

To fix this error, check that you are not trying to access the `requires_grad` attribute of a boolean value. It is possible that you have accidentally assigned a boolean value to a tensor that should have had `requires_grad` set to `True`.

Alternatively, you may need to update your code to handle boolean values differently. For example, if you are using a boolean value to control the flow of your program, you may need to use an if-statement or other control structure to handle the boolean value appropriately.