JuliaGPU/CUDA.jl

CUDNN: STATUS_BAD_PARAM; Reason: dimA[i] <= 0

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#1477 aperta il 14 apr 2022

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Descrizione

Hi guys, new to Julia and using my GPU to compute ML tasks so bare with me. CUDA seems to not recognise my GPU (at least I think that is the problem) and I have a codebase) that uses a CNN to perform image classification. I have attached the script and a PDF outlining what errors I get exactly. I have the errors pasted here:

Errors:

CuDNN (v8302) function cudnnConvolutionBackwardFilter() called:
    Info: Traceback contains 78 message(s)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: dimA[i] <= 0
        Error: CUDNN_STATUS_BAD_PARAM; Reason: cudnn::ops::setTensorNdDescriptor(desc, dtype, nbDims, dimA, strideA, true)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: initStatus = getXDescriptor(conv, &xDescCompat)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: dimA[i] <= 0
        Error: CUDNN_STATUS_BAD_PARAM; Reason: cudnn::ops::setTensorNdDescriptor(desc, dtype, nbDims, dimA, strideA, true)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: initStatus = getXDescriptor(conv, &xDescCompat)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: dimA[i] <= 0
        Error: CUDNN_STATUS_BAD_PARAM; Reason: cudnn::ops::setTensorNdDescriptor(desc, dtype, nbDims, dimA, strideA, true)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: initStatus = getXDescriptor(conv, &xDescCompat)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: dimA[i] <= 0
        Error: CUDNN_STATUS_BAD_PARAM; Reason: cudnn::ops::setTensorNdDescriptor(desc, dtype, nbDims, dimA, strideA, true)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: initStatus = getXDescriptor(conv, &xDescCompat)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: dimA[i] <= 0
        Error: CUDNN_STATUS_BAD_PARAM; Reason: cudnn::ops::setTensorNdDescriptor(desc, dtype, nbDims, dimA, strideA, true)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: initStatus = getXDescriptor(conv, &xDescCompat)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: dimA[i] <= 0
        Error: CUDNN_STATUS_BAD_PARAM; Reason: cudnn::ops::setTensorNdDescriptor(desc, dtype, nbDims, dimA, strideA, true)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: initStatus = getXDescriptor(conv, &xDescCompat)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: dimA[i] <= 0
        Error: CUDNN_STATUS_BAD_PARAM; Reason: cudnn::ops::setTensorNdDescriptor(desc, dtype, nbDims, dimA, strideA, true)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: initStatus = getXDescriptor(conv, &xDescCompat)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: dimA[i] <= 0
        Error: CUDNN_STATUS_BAD_PARAM; Reason: cudnn::ops::setTensorNdDescriptor(desc, dtype, nbDims, dimA, strideA, true)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: initStatus = getXDescriptor(conv, &xDescCompat)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: dimA[i] <= 0
        Error: CUDNN_STATUS_BAD_PARAM; Reason: cudnn::ops::setTensorNdDescriptor(desc, dtype, nbDims, dimA, strideA, true)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: initStatus = getXDescriptor(conv, &xDescCompat)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: dimA[i] <= 0
        Error: CUDNN_STATUS_BAD_PARAM; Reason: cudnn::ops::setTensorNdDescriptor(desc, dtype, nbDims, dimA, strideA, true)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: initStatus = getXDescriptor(conv, &xDescCompat)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: dimA[i] <= 0
        Error: CUDNN_STATUS_BAD_PARAM; Reason: cudnn::ops::setTensorNdDescriptor(desc, dtype, nbDims, dimA, strideA, true)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: initStatus = getXDescriptor(conv, &xDescCompat)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: dimA[i] <= 0
        Error: CUDNN_STATUS_BAD_PARAM; Reason: cudnn::ops::setTensorNdDescriptor(desc, dtype, nbDims, dimA, strideA, true)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: initStatus = getXDescriptor(conv, &xDescCompat)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: dimA[i] <= 0
        Error: CUDNN_STATUS_BAD_PARAM; Reason: cudnn::ops::setTensorNdDescriptor(desc, dtype, nbDims, dimA, strideA, true)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: initStatus = getXDescriptor(conv, &xDescCompat)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: dimA[i] <= 0
        Error: CUDNN_STATUS_BAD_PARAM; Reason: cudnn::ops::setTensorNdDescriptor(desc, dtype, nbDims, dimA, strideA, true)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: initStatus = getXDescriptor(conv, &xDescCompat)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: dimA[i] <= 0
        Error: CUDNN_STATUS_BAD_PARAM; Reason: cudnn::ops::setTensorNdDescriptor(desc, dtype, nbDims, dimA, strideA, true)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: initStatus = getXDescriptor(conv, &xDescCompat)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: dimA[i] <= 0
        Error: CUDNN_STATUS_BAD_PARAM; Reason: cudnn::ops::setTensorNdDescriptor(desc, dtype, nbDims, dimA, strideA, true)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: initStatus = getXDescriptor(conv, &xDescCompat)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: dimA[i] <= 0
        Error: CUDNN_STATUS_BAD_PARAM; Reason: cudnn::ops::setTensorNdDescriptor(desc, dtype, nbDims, dimA, strideA, true)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: initStatus = getXDescriptor(conv, &xDescCompat)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: dimA[i] <= 0
        Error: CUDNN_STATUS_BAD_PARAM; Reason: cudnn::ops::setTensorNdDescriptor(desc, dtype, nbDims, dimA, strideA, true)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: initStatus = getXDescriptor(conv, &xDescCompat)
        Warning: CUDNN_STATUS_NOT_SUPPORTED; Reason: T_ENGINEMAP::isLegacyAlgoSupported(handle, xDesc, wDesc, cDesc, yDesc, algo)
        Warning: CUDNN_STATUS_NOT_SUPPORTED; Reason: T_ENGINEMAP::isLegacyAlgoSupported(handle, xDesc, wDesc, cDesc, yDesc, algo)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: dimA[i] <= 0
        Error: CUDNN_STATUS_BAD_PARAM; Reason: cudnn::ops::setTensorNdDescriptor(desc, dtype, nbDims, dimA, strideA, true)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: initStatus = getXDescriptor(conv, &xDescCompat)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: dimA[i] <= 0
        Error: CUDNN_STATUS_BAD_PARAM; Reason: cudnn::ops::setTensorNdDescriptor(desc, dtype, nbDims, dimA, strideA, true)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: initStatus = getXDescriptor(conv, &xDescCompat)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: dimA[i] <= 0
        Error: CUDNN_STATUS_BAD_PARAM; Reason: cudnn::ops::setTensorNdDescriptor(desc, dtype, nbDims, dimA, strideA, true)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: initStatus = getXDescriptor(conv, &xDescCompat)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: dimA[i] <= 0
        Error: CUDNN_STATUS_BAD_PARAM; Reason: cudnn::ops::setTensorNdDescriptor(desc, dtype, nbDims, dimA, strideA, true)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: initStatus = getXDescriptor(conv, &xDescCompat)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: dimA[i] <= 0
        Error: CUDNN_STATUS_BAD_PARAM; Reason: cudnn::ops::setTensorNdDescriptor(desc, dtype, nbDims, dimA, strideA, true)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: initStatus = getXDescriptor(conv, &xDescCompat)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: dimA[i] <= 0
        Error: CUDNN_STATUS_BAD_PARAM; Reason: cudnn::ops::setTensorNdDescriptor(desc, dtype, nbDims, dimA, strideA, true)
        Error: CUDNN_STATUS_BAD_PARAM; Reason: initStatus = getXDescriptor(conv, &xDescCompat)
        Warning: CUDNN_STATUS_NOT_SUPPORTED; Reason: (dyDesc->dimA[2] != 1) && (dyDesc->dimA[3] != 1)
        Warning: CUDNN_STATUS_NOT_SUPPORTED; Reason: T_ENGINEMAP::isLegacyAlgoSupported(handle, xDesc, wDesc, cDesc, yDesc, algo)
        Warning: CUDNN_STATUS_NOT_SUPPORTED; Reason: (dyDesc->dimA[2] != 1) && (dyDesc->dimA[3] != 1)
        Warning: CUDNN_STATUS_NOT_SUPPORTED; Reason: T_ENGINEMAP::isLegacyAlgoSupported(handle, xDesc, wDesc, cDesc, yDesc, algo)
Time: 2022-04-14T20:13:49.743134 (0d+0h+1m+23s since start)
Process=6408; Thread=12332; GPU=NULL; Handle=NULL; StreamId=NULL.

lecture3.jl.txt

Guida contributor

Direzione di ricerca
Esamina l'architettura del modello CNN e i dati di input per garantire che le dimensioni del tensore siano positive. Controlla eventuali errori di calcolo delle dimensioni nei livelli di convoluzione che potrebbero portare a dimensioni zero o negative. Verifica che la dimensione del batch, il numero di canali, l'altezza e la larghezza siano tutti maggiori di zero. Esamina lo script fornito per tracciare i passaggi forward e backward per l'operazione di backward filter della convoluzione.
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