我正在培训一个CNN,类似于this示例中的图像分割。图片为1500x1500x1,标签大小相同。
在定义CNN结构后,以及在启动会话时,如此代码示例所示:(conv_net_test.py
)
with tf.Session() as sess:
sess.run(init)
summ = tf.train.SummaryWriter('/tmp/logdir/', sess.graph_def)
step = 1
print ("import data, read from read_data_sets()...")
#Data defined by me, returns a DataSet object with testing and training images and labels for segmentation problem.
data = import_data_test.read_data_sets('Dataset')
# Keep training until reach max iterations
while step * batch_size < training_iters:
batch_x, batch_y = data.train.next_batch(batch_size)
print ("running backprop for step %d" % step)
batch_x = batch_x.reshape(batch_size, n_input, n_input, n_channels)
batch_y = batch_y.reshape(batch_size, n_input, n_input, n_channels)
batch_y = np.int64(batch_y)
sess.run(optimizer, feed_dict={x: batch_x, y: batch_y, keep_prob: dropout})
if step % display_step == 0:
# Calculate batch loss and accuracy
#pdb.set_trace()
loss, acc = sess.run([loss, accuracy], feed_dict={x: batch_x, y: batch_y, keep_prob: 1.})
step += 1
print "Optimization Finished"
我遇到以下类型错误(StackTrace,如下所示):
conv_net_test.py in <module>()
178 #pdb.set_trace()
--> 179 loss, acc = sess.run([loss, accuracy], feed_dict={x: batch_x, y: batch_y, keep_prob: 1.})
180 step += 1
181 print "Optimization Finished!"
tensorflow/python/client/session.pyc in run(self, fetches, feed_dict, options, run_metadata)
370 try:
371 result = self._run(None, fetches, feed_dict, options_ptr,
--> 372 run_metadata_ptr)
373 if run_metadata:
374 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)
tensorflow/python/client/session.pyc in _run(self, handle, fetches, feed_dict, options, run_metadata)
582
583 # Validate and process fetches.
--> 584 processed_fetches = self._process_fetches(fetches)
585 unique_fetches = processed_fetches[0]
586 target_list = processed_fetches[1]
tensorflow/python/client/session.pyc in _process_fetches(self, fetches)
538 raise TypeError('Fetch argument %r of %r has invalid type %r, '
539 'must be a string or Tensor. (%s)'
--> 540 % (subfetch, fetch, type(subfetch), str(e)))
TypeError: Fetch argument 1.4415792e+2 of 1.4415792e+2 has invalid type <type 'numpy.float32'>, must be a string or Tensor. (Can not convert a float32 into a Tensor or Operation.)
我在这一点上被难住了。也许这是转换类型的一个简单例子,但我不知道如何/在哪里。此外,为什么损失必须是一个字符串?(假设同样的误差也会在修正后出现)。
感谢您的帮助!
最佳答案
在使用loss = sess.run(loss)
的地方,可以在python中重新定义变量loss
。
第一次运行良好。第二次,您将尝试:
sess.run(1.4415792e+2)
因为现在
loss
是一个浮点。您应该使用不同的名称,如:
loss_val, acc = sess.run([loss, accuracy], feed_dict={x: batch_x, y: batch_y, keep_prob: 1.})
关于python - TypeError:Fetch参数的类型为float32,必须是字符串或Tensor,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/38306330/