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Check failed in tensor creation API set #617

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x0w3n opened this issue Dec 3, 2024 · 0 comments
Open

Check failed in tensor creation API set #617

x0w3n opened this issue Dec 3, 2024 · 0 comments

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@x0w3n
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x0w3n commented Dec 3, 2024

Describe the bug

Check failed is triggered when the dtype parameter of these apis used to create tensors sets an unsupported type.
For example, jt.rand, jt.ones.
The error log suggests reporting this issue.

Full Log

[i 1203 10:51:16.452531 16 compiler.py:956] Jittor(1.3.9.10) src: /home/miniconda3/envs/jittor/lib/python3.9/site-packages/jittor
[i 1203 10:51:16.463305 16 compiler.py:957] g++ at /usr/bin/g++(11.2.0)
[i 1203 10:51:16.463787 16 compiler.py:958] cache_path: /home/.cache/jittor/jt1.3.9/g++11.2.0/py3.9.12/Linux-5.15.0-1x30/INTELRXEONRGOLx51/ef26/default
[i 1203 10:51:16.548175 16 install_cuda.py:93] cuda_driver_version: [12, 2]
[i 1203 10:51:16.562796 16 __init__.py:412] Found /home/.cache/jittor/jtcuda/cuda12.2_cudnn8_linux/bin/nvcc(12.2.140) at /home/.cache/jittor/jtcuda/cuda12.2_cudnn8_linux/bin/nvcc.
[i 1203 10:51:17.010878 16 __init__.py:412] Found gdb(12.0.90) at /usr/bin/gdb.
[i 1203 10:51:17.013349 16 __init__.py:412] Found addr2line(2.38) at /usr/bin/addr2line.
[i 1203 10:51:17.497462 16 compiler.py:1013] cuda key:cu12.2.140_sm_89
[i 1203 10:51:18.738920 16 __init__.py:227] Total mem: 251.50GB, using 16 procs for compiling.
[i 1203 10:51:18.976258 16 jit_compiler.cc:28] Load cc_path: /usr/bin/g++
[i 1203 10:51:19.225324 16 init.cc:63] Found cuda archs: [89,]
Traceback (most recent call last):
  File "test.py", line 5, in <module>
    testType = jt.dtype('testType')
RuntimeError: Wrong inputs arguments, Please refer to examples(help(jt.NanoString.__init__)).

Types of your inputs are:
 self   = NanoString,
 args   = (str, ),

The function declarations are:
 inline NanoString(const char* s)
 inline NanoString(const NanoString& other)

Failed reason:[f 1203 10:51:20.164367 16 nano_string.h:163] Check failed: iter != __string_to_ns.end()  Something wrong... Could you please report this issue?
 testType

Minimal Reproduce

import jittor as jt

testType = jt.dtype('testType') 
unsupported_tensor = jt.ones(2, 2, dtype=testType)

Expected behavior

The dtype parameter needs to be checked to prevent Check failed

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