In this case we should make it a runtime array. This is also how relay handles
constants
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Thanks for the reply!
> If you want to inline a constant array(that is really small), you can attempt
> to use select to dispatch each index to the value.
Do you mean putting all the values I wanna pass in the C API individually?
In my case, the array size would be around 100 so I think I hav
This doesn't look right tho. It should be like
```
%1 = fn(..., kPrimitive=1, kCompiler="nuc_fpga") {
nn.conv2d(...);
}
%2 = %1(...);
%3 = nn.bias_add(...);
%4 = nn.relu(...);
```
Please check your annotation rules.
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the model `resnet20-cifar100_origin.pb` link:
https://drive.google.com/file/d/1s2K8uZP5CMfZEDm5AaQ66gN5sF0iXhyd/view?usp=sharing
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Sad to tell you that I don't find any similar name from `irmod`
You can access the full content of `irmod` from the link:
https://drive.google.com/file/d/1Ptgp4H4cLc4T-ZnLcUH_LP9op4ZFd8bR/view?usp=sharing
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sorry what you need is `print(irmod)`. Look for the name after `main` like
below:
```
def @main(%input_tensor:0: Tensor[(1, 300, 300, 3), uint8]) -> (Tensor[(1, 100,
4), float32], Tensor[(1, 100), float32], Tensor[(1, 100), float32], Tensor[(1),
float32]) {
```
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When using a pictures as input to the model before and after compiling by TVM,
the prediction results are slightly inconsistent. However, it did not cause a
classification error
`np.testing.assert_allclose(frame_output, tvm_output, rtol=1e-3, atol=1e-3)`
is used as the criterion.
Can such
right now constant arrays are still being processed as normal array in memory.
this requirement is due to the fact that the intrinsic function have to follow
C API convention. If you want to inline a constant array(that is really small),
you can attempt to use select to dispatch each index to
The `graph` content generated by relay.build_module.build() is as following:
I don't know which field represents input name.
In addition, I added a few lines of code, which have a background color, to
print the input layer informatio
sorry, i may forget how i solve the problem
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Can you try `print(graph)` and see what input name it expects.
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@tqchen @masahi Could you give me some advice? Thanks very match.
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Thanks a lot for your explanation! :grinning:
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Actually Ansor has "local" memory in some special case.
The two level cache read structure has been tried at the beginning when we
built the Ansor system. And It's still easy for Ansor to add such sketches in
the current main branch.
Ansor is a tuning based schedule search system, which means
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