我有两个张量:
B包含0到559之间的整数,用作indeces。
我所追求的是形状的张量C [146,33],其中每个元素对应于B给出的指数。
我尝试了tf.gather_nd(A, B)
,这给了我错误
InvalidArgumentError (see above for traceback): index innermost dimension length must be <= params rank; saw: 33 vs. 3
[[Node: GatherNd = GatherNd[Tindices=DT_INT64, Tparams=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"](Reshape_34, _recv_contexts_1_0)]]
我还尝试了tf.gather(A, B)
,它给了我错误
InvalidArgumentError (see above for traceback): indices[1,0] = 282 is not in [0, 146)
[[Node: Gather = Gather[Tindices=DT_INT64, Tparams=DT_FLOAT, validate_indices=true, _device="/job:localhost/replica:0/task:0/cpu:0"](Reshape_34, _recv_contexts_1_0)]]
知道如何解决这个问题吗?