Comments (7)
nitishsrivastava
commented on June 17, 2024
Try changing line 33 in cudamat/cudamat_conv_util.cuh
#define TEXTURE_SIZE_MAX (1<<29)
to
#define TEXTURE_SIZE_MAX 0
from convnet.
regata
commented on June 17, 2024
Thanks Nitish!
Unfortunately it didn't work because the call to getTextureObject happens from convContrastNormCrossMap in cudamat_conv_others.cu:
if (blocked) {
if (checkCaseBounds) {
cudaFuncSetCacheConfig(kFCNorm<4, 32, 4, true, true>, cudaFuncCachePreferL1);
kFCNorm<4, 32, 4, true, true><<<blocks, threads, 0, stream>>>(getTextureObject(images), getTextureObject(meanDiffs), target->data_device,
imgSize, numFilters, numImages, sizeF, addScale, powScale, minDiv);
} else {
cudaFuncSetCacheConfig(kFCNorm<4, 32, 4, false, true>, cudaFuncCachePreferL1);
kFCNorm<4, 32, 4, false, true><<<blocks, threads, 0, stream>>>(getTextureObject(images), getTextureObject(meanDiffs), target->data_device,
imgSize, numFilters, numImages, sizeF, addScale, powScale, minDiv);
}
} else {
if (checkCaseBounds) {
//!!!!!!!!!!!!!!!!!! HERE !!!!!!!!!!!!!!!!!!!!!!!!!!!!
cudaFuncSetCacheConfig(kFCNorm<4, 32, 4, true, false>, cudaFuncCachePreferL1);
kFCNorm<4, 32, 4, true, false><<<blocks, threads, 0, stream>>>(getTextureObject(images), getTextureObject(meanDiffs), target->data_device,
imgSize, numFilters, numImages, sizeF, addScale, powScale, minDiv);
} else {
cudaFuncSetCacheConfig(kFCNorm<4, 32, 4, false, false>, cudaFuncCachePreferL1);
kFCNorm<4, 32, 4, false, false><<<blocks, threads, 0, stream>>>(getTextureObject(images), getTextureObject(meanDiffs), target->data_device,
imgSize, numFilters, numImages, sizeF, addScale, powScale, minDiv);
}
}What would be the easiest way to fix this?
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nitishsrivastava
commented on June 17, 2024
Looks like it needs a kernel that doesn't use textures. I will write one and push it up soon.
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neuralix
commented on June 17, 2024
to Nitish,
I also met the problem.
And now I regard it as a suspicious thing that,
the datatype of MNIST input(:*.h5) is 32bit floating and the range is [0, 1]
but for imagenet case (;be converted via jpeg2hdf5)
the one is 8 bit unsigned integer and the range is(;be looks) [0, 255].
could you review the thing?
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nitishsrivastava
commented on June 17, 2024
@regata @neuralix
The latest commit adds a new kernel that doesn't use textures.
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nitishsrivastava
commented on June 17, 2024
@neuralix The datatypes are fine. Everything gets converted to floats when it is moved to the GPU so it doesn't matter. The images are normalized and mean-centered later.
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neuralix
commented on June 17, 2024
@nitishsrivastava I've met same problem at same point.
Now I doubt two points. The one is difference btn. my GPU(:Kepler) and your (recommended) one:Fermi. And the other is the issue of range in training data mentioned before. (I'll report the result.)
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