Hi Krishna,
I assume by graph of the testing accuracy and loss; you mean epoch wise plot of the parameters for testing data. I think if you want to get the values for the testing data it is required to pass the data while training itself so that prediction can be made at every epoch and accordingly mini-batch accuracy and loss can be updated.
So essentially you need to pass testing data as validation data for calculating the accuracy and loss epoch wise.
For second question, it is completely fine to skip the validation data.
Hope this clarifies.
