TypeError: For primitive[OneHot], the input argument[indices] must be a type of {Tensor[Int32], Tensor[Int64], Tensor[UInt8]}, but got Tensor[Float64].
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- The Traceback of Net Construct Code:
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The function call stack (See file '/home/jenkins/issue/rank_0/om/analyze_fail.dat' for more details. Get instructions about `analyze_fail.dat` at https://www.mindspore.cn/search?inputValue=analyze_fail.dat):
# 0 In file /home/miniconda3/envs/ci/lib/python3.7/site-packages/mindspore/ops/composite/base.py:574
                        return grad_(fn, weights)(*args)
                               ^
# 1 In file issue.py:39
    label = onehot(ms.Tensor(label, dtype=mindspore.int32), ops.shape(logit)[1], on_value, off_value)
            ^
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- C++ Call Stack: (For framework developers
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mindspore/core/utils/check_convert_utils.cc:831 CheckTensorSubClass