ops.cat不支持bool类型

name	about	labels
Bug Report	Use this template for reporting a bug	kind/bug

Environment / 环境信息 (Mandatory / 必填)

Hardware Environment(Ascend/GPU/CPU) / 硬件环境:

Please delete the backend not involved / 请删除不涉及的后端:
/device ascend

Software Environment / 软件环境 (Mandatory / 必填):
-- MindSpore version (e.g., 1.7.0.Bxxx) : 2.2.11
Excute Mode / 执行模式 (Mandatory / 必填)(PyNative/Graph):

Please delete the mode not involved / 请删除不涉及的模式:
/mode pynative

Steps to reproduce the issue / 重现步骤 (Mandatory / 必填)

    x = Tensor(np.random.randint((0,2), (1,128)), dtype=ms.bool_)
    y = Tensor(np.random.randint((0,2), (1,128)), dtype=ms.bool_)
    z = ops.cat((x, y))
    print(z)

Related log / screenshot / 日志 / 截图 (Mandatory / 必填)


Traceback (most recent call last):
  File "mindone/models/dit.py", line 914, in <module>
    test_cat()
  File "mindone/models/dit.py", line 896, in test_cat
    print(z)
  File "/home/ma-user/anaconda3/envs/PyTorch-1.11.0/lib/python3.7/site-packages/mindspore/common/_stub_tensor.py", line 49, in fun
    return method(*arg, **kwargs)
  File "/home/ma-user/anaconda3/envs/PyTorch-1.11.0/lib/python3.7/site-packages/mindspore/common/tensor.py", line 493, in __str__
    return str(self.asnumpy())
  File "/home/ma-user/anaconda3/envs/PyTorch-1.11.0/lib/python3.7/site-packages/mindspore/common/tensor.py", line 964, in asnumpy
    return Tensor_.asnumpy(self)
TypeError: Invalid Kernel Build Info! Kernel type: AICPU_KERNEL, node: Default/Concat-op0
need build info: 
(<Int64xDefaultFormat>, <BoolxDefaultFormat>, <BoolxDefaultFormat>, object_type: [Tensor,Tensor,Tensor]) -> (<BoolxDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
candidate build info list: 
(<Int32xDefaultFormat>, object_type: [Tensor]) -> (<Int8xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int32xDefaultFormat>, object_type: [Tensor]) -> (<Int16xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int32xDefaultFormat>, object_type: [Tensor]) -> (<Int32xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int32xDefaultFormat>, object_type: [Tensor]) -> (<Int64xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int32xDefaultFormat>, object_type: [Tensor]) -> (<UInt8xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int32xDefaultFormat>, object_type: [Tensor]) -> (<UInt16xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int32xDefaultFormat>, object_type: [Tensor]) -> (<UInt32xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int32xDefaultFormat>, object_type: [Tensor]) -> (<UInt64xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int32xDefaultFormat>, object_type: [Tensor]) -> (<Float16xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int32xDefaultFormat>, object_type: [Tensor]) -> (<Float32xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int32xDefaultFormat>, object_type: [Tensor]) -> (<Float64xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int32xDefaultFormat>, object_type: [Tensor]) -> (<Complex64xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int32xDefaultFormat>, object_type: [Tensor]) -> (<Complex128xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int64xDefaultFormat>, object_type: [Tensor]) -> (<Int8xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int64xDefaultFormat>, object_type: [Tensor]) -> (<Int16xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int64xDefaultFormat>, object_type: [Tensor]) -> (<Int32xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int64xDefaultFormat>, object_type: [Tensor]) -> (<Int64xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int64xDefaultFormat>, object_type: [Tensor]) -> (<UInt8xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int64xDefaultFormat>, object_type: [Tensor]) -> (<UInt16xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int64xDefaultFormat>, object_type: [Tensor]) -> (<UInt32xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int64xDefaultFormat>, object_type: [Tensor]) -> (<UInt64xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int64xDefaultFormat>, object_type: [Tensor]) -> (<Float16xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int64xDefaultFormat>, object_type: [Tensor]) -> (<Float32xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int64xDefaultFormat>, object_type: [Tensor]) -> (<Float64xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int64xDefaultFormat>, object_type: [Tensor]) -> (<Complex64xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int64xDefaultFormat>, object_type: [Tensor]) -> (<Complex128xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)

----------------------------------------------------
- C++ Call Stack: (For framework developers)
----------------------------------------------------
mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:407 OptimizeGraph

[ERROR] PIPELINE(3655146,ffffa3d1cb70,python):2024-03-28-19:04:57.631.482 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:2328] ClearResAtexit] Check exception before process exit: Invalid Kernel Build Info! Kernel type: AICPU_KERNEL, node: Default/Concat-op0
need build info: 
(<Int64xDefaultFormat>, <BoolxDefaultFormat>, <BoolxDefaultFormat>, object_type: [Tensor,Tensor,Tensor]) -> (<BoolxDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
candidate build info list: 
(<Int32xDefaultFormat>, object_type: [Tensor]) -> (<Int8xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int32xDefaultFormat>, object_type: [Tensor]) -> (<Int16xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int32xDefaultFormat>, object_type: [Tensor]) -> (<Int32xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int32xDefaultFormat>, object_type: [Tensor]) -> (<Int64xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int32xDefaultFormat>, object_type: [Tensor]) -> (<UInt8xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int32xDefaultFormat>, object_type: [Tensor]) -> (<UInt16xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int32xDefaultFormat>, object_type: [Tensor]) -> (<UInt32xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int32xDefaultFormat>, object_type: [Tensor]) -> (<UInt64xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int32xDefaultFormat>, object_type: [Tensor]) -> (<Float16xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int32xDefaultFormat>, object_type: [Tensor]) -> (<Float32xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int32xDefaultFormat>, object_type: [Tensor]) -> (<Float64xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int32xDefaultFormat>, object_type: [Tensor]) -> (<Complex64xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int32xDefaultFormat>, object_type: [Tensor]) -> (<Complex128xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int64xDefaultFormat>, object_type: [Tensor]) -> (<Int8xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int64xDefaultFormat>, object_type: [Tensor]) -> (<Int16xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int64xDefaultFormat>, object_type: [Tensor]) -> (<Int32xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int64xDefaultFormat>, object_type: [Tensor]) -> (<Int64xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int64xDefaultFormat>, object_type: [Tensor]) -> (<UInt8xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int64xDefaultFormat>, object_type: [Tensor]) -> (<UInt16xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int64xDefaultFormat>, object_type: [Tensor]) -> (<UInt32xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int64xDefaultFormat>, object_type: [Tensor]) -> (<UInt64xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int64xDefaultFormat>, object_type: [Tensor]) -> (<Float16xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int64xDefaultFormat>, object_type: [Tensor]) -> (<Float32xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int64xDefaultFormat>, object_type: [Tensor]) -> (<Float64xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int64xDefaultFormat>, object_type: [Tensor]) -> (<Complex64xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)
(<Int64xDefaultFormat>, object_type: [Tensor]) -> (<Complex128xDefaultFormat>, object_type: [Tensor], kernel_type: AICPU_KERNEL, op_type: UNKNOWN_OP_TYPE)

----------------------------------------------------
- C++ Call Stack: (For framework developers)
----------------------------------------------------
mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:407 OptimizeGraph

Please assign maintainer to check this issue.
请为此issue分配处理人。
@wangzeyangyi

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Steps to reproduce the issue / 重现步骤 (Mandatory / 必填)

Related log / screenshot / 日志 / 截图 (Mandatory / 必填)

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GVPMindSpore / mindspore

内容风险标识

ops.cat不支持bool类型

Environment / 环境信息 (Mandatory / 必填)

Steps to reproduce the issue / 重现步骤 (Mandatory / 必填)

Related log / screenshot / 日志 / 截图 (Mandatory / 必填)

评论 (2)

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GVP MindSpore / mindspore