發生此報錯的原因可能是python序列是非矩形的數據，即在某個維度上數據不能對齊；或者你在使用pandas的數據時直接調用，如：
1 input_data = pd.DataFrame([[1,5,3], [5,2,9]]) 2 train_data = tf.random.shuffle(input_data)
將input_data后加values就可以了：
train_data = tf.random.shuffle(input_data.values)
ValueError: Can't convert non-rectangular Python sequence to Tensor.
免責聲明！
本站轉載的文章為個人學習借鑒使用，本站對版權不負任何法律責任。如果侵犯了您的隱私權益，請聯系本站郵箱yoyou2525@163.com刪除。
猜您在找
IndexError: invalid index of a 0-dim tensor. Use `tensor.item()` in Python or `tensor.item
()` in C++ to convert a 0-dim tensor to a number
TypeError: Fetch argument 0 has invalid type
, must be a string or Tensor. (Can not convert a int into a Tensor or Operation.)
報錯：invalid index of a 0-dim tensor. Use tensor.item() to convert a 0-dim tensor to a Python number
IndexError: invalid index of a 0-dim tensor. Use tensor.item() to convert a 0-dim tensor to a Python number
IndexError: invalid index of a 0-dim tensor. Use tensor.item() to convert a 0-dim tensor to a Python number
TypeError: can't convert CUDA tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory ..
TypeError: Fetch argument 0.484375 has invalid type
, must be a string or Tensor. (Can not convert a float32 into a Tensor or Operation.)
ValueError: Layer conv2d_1 was called with an input that isn't a symbolic tensor. Received type:
. Full input: [(600, 600, 3)]. All inputs to the layer should be tensors.
TypeError: can't convert CUDA tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first.
can't convert CUDA tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first.