【tensorflow】shape与ndim
获取shape
import tensorflow as tf
tensor = tf.placeholder(dtype=tf.float32, shape=[200, 200, 3])
print('\n=========== get shape ============')
print('tensor : ', tensor)
print('tensor.shape : ', tensor.shape)
print('tensor.get_shape() : ', tensor.get_shape())Print：
=========== get shape ============
tensor : Tensor("Placeholder:0", shape=(200, 200, 3), dtype=float32)
tensor.shape : (200, 200, 3)
tensor.get_shape() : (200, 200, 3)获取ndim
import tensorflow as tf
tensor = tf.placeholder(dtype=tf.float32, shape=[200, 200, 3])
print('\n=========== get dims ============')
print('tf.shape(tensor) : ', tf.shape(tensor))
print('tensor.shape.ndims : ', tensor.shape.ndims)
print('tensor.get_shape().ndims : ', tensor.get_shape().ndims)Print：
=========== get dims ============
tf.shape(tensor) : Tensor("Shape:0", shape=(3,), dtype=int32)
tensor.shape.ndims : 3
tensor.get_shape().ndims : 3补充
- 需要特别注意的是，
tf.shape(tensor)返回的其实是ndim，而非标准意义上的shape！
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