我无法评估/打印/运行从张量流库中的复杂稀疏张量获得的密集张量 . 我目前正在使用macosx中的tensorflow的＃234（仅限cpu） .
import tensorflow as tf
a = tf.SparseTensor(indices=[[0, 0, 0], [1, 2, 1]], values=[1.0+2j, 2.0], shape=[3, 4, 2])
b = tf.sparse_tensor_to_dense(a, default_value=0.0)
sess = tf.Session()
sess.run(b)
返回以下错误：
InvalidArgumentError (see above for traceback): No OpKernel was registered to support Op 'SparseToDense' with these attrs. Registered kernels:
device='CPU'; T in [DT_INT64]; Tindices in [DT_INT32]
device='CPU'; T in [DT_INT64]; Tindices in [DT_INT64]
device='CPU'; T in [DT_INT32]; Tindices in [DT_INT32]
device='CPU'; T in [DT_INT32]; Tindices in [DT_INT64]
device='CPU'; T in [DT_UINT16]; Tindices in [DT_INT32]
device='CPU'; T in [DT_UINT16]; Tindices in [DT_INT64]
device='CPU'; T in [DT_INT16]; Tindices in [DT_INT32]
device='CPU'; T in [DT_INT16]; Tindices in [DT_INT64]
device='CPU'; T in [DT_UINT8]; Tindices in [DT_INT32]
device='CPU'; T in [DT_UINT8]; Tindices in [DT_INT64]
device='CPU'; T in [DT_INT8]; Tindices in [DT_INT32]
device='CPU'; T in [DT_INT8]; Tindices in [DT_INT64]
device='CPU'; T in [DT_HALF]; Tindices in [DT_INT32]
device='CPU'; T in [DT_HALF]; Tindices in [DT_INT64]
device='CPU'; T in [DT_FLOAT]; Tindices in [DT_INT32]
device='CPU'; T in [DT_FLOAT]; Tindices in [DT_INT64]
device='CPU'; T in [DT_DOUBLE]; Tindices in [DT_INT32]
device='CPU'; T in [DT_DOUBLE]; Tindices in [DT_INT64]
device='CPU'; T in [DT_BOOL]; Tindices in [DT_INT32]
device='CPU'; T in [DT_BOOL]; Tindices in [DT_INT64]
device='CPU'; T in [DT_STRING]; Tindices in [DT_INT32]
device='CPU'; T in [DT_STRING]; Tindices in [DT_INT64]
[[Node: SparseToDense_3 = SparseToDense[T=DT_COMPLEX128, Tindices=DT_INT64, validate_indices=true](SparseTensor_2/indices, SparseTensor_2/shape, SparseTensor_2/values, SparseToDense_3/default_value)]]
我也尝试过：
br = tf.real(b)
sess.run(br)
但是，这会产生与上述相同的错误 .
但请注意，以下工作正常：
x = tf.ones((3,3), dtype=tf.complex128)
sess.run(x)
在此先感谢您的帮助！
1 回答
看起来tf.sparse_tensor_to_dense还不支持复数 . 我试过丢失了2j组件，并且它有效 . 我认为错误转储试图告诉你sparse_tensor_to_dense不支持复杂类型，并列出它支持的类型 .