JuliaGPU/CUDA.jl

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

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#1.477 aberto em 14 de abr. de 2022

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Description

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

Guia do colaborador

Direção de pesquisa
Investigue a arquitetura do modelo CNN e os dados de entrada para garantir que as dimensões do tensor sejam positivas. Verifique se há erros de cálculo de dimensões nas camadas de convolução que possam levar a dimensões zero ou negativas. Verifique se o tamanho do lote, número de canais, altura e largura são todos maiores que zero. Analise o script fornecido para rastrear as passagens forward e backward para a operação de backward filter da convolução.
Pilha de tecnologia
None
Domain
backend
Tipo Issue
Bug
DifficultyDificuldade de implementação estimada para um novo contribuidor, de 1 para alterações muito pequenas a 5 para trabalho de nível especializado.
3
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Meio dia
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Antigo
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Claro
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Simpatia para novatosUma pontuação de 1 a 100 que estima o quão acessível este issue é para colaboradores iniciantes.
35