How to run

Compile and run src/cudnn_conv_float32.cc or src/cudnn_conv_int8.cc with CUDA 8.0 and cuDNN 6.0. The code is self contained and all the parameters are hardcoded into the code to help debugging the propblem.

Working version (32 bit float)

src/cudnn_conv_float32.cc is a simple implementation of FLOAT32 convolution using cuDNN 6. This code seems to work.

Broken version (8 bit int)

src/cudnn_conv_int8.cc is a variant of the above FLOAT32 version for INT8-based convolution. As explained in the user manual, you must have compute capability of 6.1 or higher. A number of parameters are changed from the FLOAT32 version following the user manual. This code fails with CUDNN_STATUS_NOT_SUPPORTED error.

• Descriptor data types are set to CUDNN_DATA_INT8 for the input/output tensors and filter (See page 59)
• Convolution descriptor has data type CUDNN_DATA_INT32, as instructed in the manual (See page 59)
• Data format for the input/output tensor descriptors and the filter are changed to CUDNN_TENSOR_NHWC (See page 62)

We can reproduce the problem on GTX 1070, Titan X (Pascal), and Quadro 6000.

Additional information

• CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMPUTED_GEMM (see page 62) is not supported in cudnnConvolutionFwdAlgo_t. The closest alternative seems to be CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM ("PRECOMP" instead of "PRECOMPUTED")
• The job fails at cudnnConvolutionForward() with CUDNN_STATUS_NOT_SUPPORTED error. This happens regardless of what algorithm I choose. I tested all algo types in page 16 of the manual.
• FLOAT32 implementation (CUDNN_DATA_FLOAT) doesn't have this issue

Please see my post on the developer forum.