Comments (5)
Decrease it by 1 maybe ?
for(int64_t i=0; i <= domain_size; ++i) {
for(int64_t j=0; j <= domain_size; ++j) {
out(i-1,j-1) = flx(i-2,j-1) - flx(i-1,j-1) + fly(i-1,j-2) - fly(i-1,j-1);
}
}
from antares.
Hi, does this work for you?
out[N, M] = (flx[N - 1, M] - flx[N, M] + fly[N, M - 1] - fly[N, M]).when([N >= 1, M >= 1], const(0, dtype=flx.dtype()), merge_op=`any`) where N in {domain_size}, M in {domain_size}
from antares.
Decrease it by 1 maybe ?
for(int64_t i=0; i <= domain_size; ++i) { for(int64_t j=0; j <= domain_size; ++j) { out(i-1,j-1) = flx(i-2,j-1) - flx(i-1,j-1) + fly(i-1,j-2) - fly(i-1,j-1); } }
It seems that out(i-1,j-1) is not legal in antares, it only allows form like this : out(i,j).
from antares.
Hi, does this work for you?
out[N, M] = (flx[N - 1, M] - flx[N, M] + fly[N, M - 1] - fly[N, M]).when([N >= 1, M >= 1], const(0, dtype=flx.dtype()), merge_op=`any`) where N in {domain_size}, M in {domain_size}
This can work, but will result in the calculation of redundancy. Is there any other way?
from antares.
Is out[N, 0] and out[0, M] not used by following operations? If they're useful, they are not regarded as redundant computation. If they are not useful, why don't you even remove those unsed space for that, making it:
out[N, M] = flx[N, M + 1] - flx[N + 1, M + 1] + fly[N + 1, M] - fly[N + 1, M + 1] where N in {domain_size - 1}, M in {domain_size - 1}
from antares.
Related Issues (20)
- gfx 1031 hip kernel crash HOT 1
- Running ROCm computations on Windows over AMD GPU HOT 14
- This repo is missing important files
- Change the cache directory HOT 4
- [BUG] Tune a bert-base-fp16 failed HOT 1
- [Help Request] How can Antares IR support stride size > 1 's Slice operation? HOT 3
- Can antares assign specified gpus for evaluation? HOT 1
- Benchmarks HOT 3
- is it possible c-ocl_*_win64 HOT 15
- Not an issue but a question due to lack of docs. HOT 1
- Fail to compile, when I use "AMDGFX=gfx1031 BACKEND=c-rocm_win64 antares" HOT 9
- The residue of the last issue (#365)
- [Error] error: ‘CHECK_EQ’ was not declared in this scope; did you mean ‘CHECK_OK’? HOT 17
- Assertion error: SDK for `c-rocm_win64` is not configured correctly, HOT 3
- Is this project based on AI? What is the goal of this project? HOT 3
- will this project replace torch-directml? HOT 2
- Is ROCm no longer supported by 0.9.x? HOT 16
- Lack operator implementation for DirectX: torch.abs() HOT 2
- Is there any document for performance benchmark result vs pytorch2.1 compile mode? HOT 1
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from antares.