必须为one_hot运算符设置索引类型,但我找不到在何处或如何设置它。
---------- Python Info ----------
版本:3.6.5
编译器:GCC 7.2.0
构建:('默认',' 2018年4月29日16:14:56')
Arch :(' 64bit','')
------------ Pip Info -----------
版本:10.0.1
目录:/home/augustinas/anaconda3/envs/mxnet/lib/python3.6/site-packages/pip
---------- MXNet Info -----------
版本:1.3.0
目录:/home/augustinas/anaconda3/envs/mxnet/lib/python3.6/site-packages/mxnet
提交哈希:247d57944f7a989d8f445856769e704b83765828
----------系统信息----------
平台:Linux-4.13.0-43-generic-x86_64-with-debian-stretch-sid
系统:Linux
节点:augustinasNT
发布:4.13.0-43-generic
版本:#48~16.04.1-Ubuntu SMP Thu May 17 12:56:46 UTC 2018
RuntimeError:simple_bind错误。参数:
数据:(1,3,112,112)
运算符one_hot0出错:[19:29:50] src / operator / tensor /./ indexing_op.h:1002:检查失败:(* in_attrs)[0]!= -1(-1 vs. -1 )必须为one_hot运算符设置索引类型
堆栈跟踪返回10个条目:
[bt](0)/home/augustinas/anaconda3/envs/mxnet/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x1d7c2a)[0x7fd3b2363c2a]
[bt](1)/home/augustinas/anaconda3/envs/mxnet/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x1d8261)[0x7fd3b2364261]
[bt](2)/home/augustinas/anaconda3/envs/mxnet/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x211641f)[0x7fd3b42a241f]
[bt](3)/home/augustinas/anaconda3/envs/mxnet/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x2672116)[0x7fd3b47fe116]
[bt](4)/home/augustinas/anaconda3/envs/mxnet/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x267b971)[0x7fd3b4807971]
[bt](5)/home/augustinas/anaconda3/envs/mxnet/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x267c3ca)[0x7fd3b48083ca]
[bt](6)/home/augustinas/anaconda3/envs/mxnet/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x266ca22)[0x7fd3b47f8a22]
[bt](7)/home/augustinas/anaconda3/envs/mxnet/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x266d434)[0x7fd3b47f9434]
[bt](8)/home/augustinas/anaconda3/envs/mxnet/lib/python3.6/site-packages/mxnet/libmxnet.so(MXExecutorSimpleBind+0x2378)[0x7fd3b47574a8]
[bt](9)/home/augustinas/anaconda3/envs/mxnet/lib/python3.6/lib-dynload/../../libffi.so.6(ffi_call_unix64+0x4c)[0x7fd3cf795ec0] < / p>
答案 0 :(得分:1)
因此,查看one_hot
的文档,您需要提供两个参数,indices
和depth
这些都是必需的。 mx.symbol.one_hot
和mx.ndarray.one_hot
需要类似的参数,但indices
的类型分别为Symbol和NDArray。
1)indices
(类型为NDArray / Symbol):设置on_value的位置数组
2)depth
(类型为int):一个热维度的深度(即类的数量)
这样的例子如下:
one_hot([1,0,2,0], 3) = [[ 0. 1. 0.]
[ 1. 0. 0.]
[ 0. 0. 1.]
[ 1. 0. 0.]]