Ah, I guess, I found my issue.
I forgot to implement the Run function.
Weight tensors are initialized inside the Init function, but inputs at Run.
Thank you very much
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@comaniac
Thanks brother i have resolved the issue. The solution was to remove all .log
files in the folder and i re-run the script.
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@comaniac
Thanks brother i have resolved the issue.
The solution was to remove all .log files in the folder and i re-run the script.
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Hmmm it should just follow the LLVM’s convention
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I am using TVM on the AWS ARM machines and am wondering the correct target
triple is for them (I have been using -mcpu=cortex-a76 -mattr=+neon).
Specifically the Graviton CPUs use the 64-bit ARM Neoverse N1 cores. Thanks!
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This is the issue in TVM 0.6. Please try 0.7 if possible
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This is the issue in TVM 0.6. Please try 0.7 if possible.
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It should not happen because the example I pointed out was for data tensors.
Did you set inputs before running the graph runtime?
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Posted here:
https://github.com/apache/incubator-tvm/issues/6404
Using the following script:
https://raw.githubusercontent.com/apache/incubator-tvm/v0.6/tutorials/autotvm/tune_relay_x86.py
```
2020-09-07 10:11:32,985 INFO Benchmarking layout transformation successful.
2020-09-07 10:11:33,053 I
Posted here
https://github.com/apache/incubator-tvm/issues/6405
I am using the following script.
https://raw.githubusercontent.com/apache/incubator-tvm/v0.6/tutorials/autotvm/tune_relay_x86.py
```
2020-09-07 10:27:06,906 INFO Benchmarking layout transformation successful.
2020-09-07 10:27:07,03
I made the pull request
[#6412](https://github.com/apache/incubator-tvm/pull/6412). It may not be
perfect but it should help you for your project.
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You are r
Ok, thank you, that works, but for some reason only for constant tensors.
The input tensors still have a nullpointer instead of the data field.
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Hello, I made TVM work with OpenCL accelerators and I am preparing a pull
request to make TVM accept opencl accelerator device type along with some
modifications in the opencl default schedules to generalize them. I will post
further updates here.
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