python - Tensorflow Cannot feed value Text Classifier

Question

I try to build a tensorflow text classifier. I am new to tf. I get an error "Cannot feed value of shape (41,) for Tensor 'InputData/X:0', which has shape '(?, 41)'"

There a several questions at stack but I dont find any answer with some background information.

This is my code for my model:

from preprocessV2 import PP
from settings import *
import tensorflow as tf
import tflearn
import numpy

class tflModel:
    def __init__(self):
        tf.compat.v1.reset_default_graph()
        #len(PP.training[0])) --> 41
        net = tflearn.input_data(shape=[None, len(PP.training[0])])
        net = tflearn.fully_connected(net, 8)
        net = tflearn.fully_connected(net, 8)
        #len(PP.output[0])) --> 7
        net = tflearn.fully_connected(
        net, len(PP.output[0]), activation="softmax")
        net = tflearn.regression(net)
        self.model = tflearn.DNN(net)
        try:
            self.model.load("model.tflearn")
        except:
            self.create_model()

    def create_model(self):
        self.model.fit(PP.training, PP.output, n_epoch=1000, batch_size=8, show_metric=True)
        self.model.save("model.tflearn")

    def do_predict(self, inp):
        bag = PP.bag_of_words(inp)
        #len(bag) --> 41
        result = self.model.predict(bag) #Error occurs here "Cannot feed value of shape (41,) for Tensor 'InputData/X:0', which has shape '(?, 41)'"
        if settings.DEBUG == True: print(result)
        results_index = numpy.argmax(results)
        results_val = numpy.amax(results)
        tag = labels[results_index]
        r = {
            "tag": tag,
            "accuracy": results_val
        }
        if settings.DEBUG == True: print(r)
        return r

I wanted to train the model with texts with different lengths. The length of the training bag is 41. The length of the output bag is 7. What is this error message about? How do I change the model to make it work?

Answer 1

等待大神答复