Error in train_mnist_model notebook about dpu-pynq

[gjkunde]

My understanding is that "latest" runs Vitis 1.3 ... all the workflows including PYNQ-DPU are for 1.2,
so you should start with:.

/docker_run.sh xilinx/vitis-ai:1.2.82

in that case it produces (when fixing the legacy DPUV2 in the json file call):

---

• VITIS_AI Compilation - Xilinx Inc.

---

[VAI_C][Warning] layer [output_logits_Softmax] (type: Softmax) is not supported in DPU, deploy it in CPU instead.

Kernel topology "mnist_classifier_kernel_graph.jpg" for network "mnist_classifier"
kernel list info for network "mnist_classifier"
Kernel ID : Name
0 : mnist_classifier_0
1 : mnist_classifier_1

                         Kernel Name : mnist_classifier_0

---

                         Kernel Type : DPUKernel
                           Code Size : 4.48KB
                          Param Size : 0.66MB
                       Workload MACs : 1.78MOPS
                     IO Memory Space : 6.05KB
                          Mean Value : 0, 0, 0, 
                  Total Tensor Count : 4
            Boundary Input Tensor(s)   (H*W*C)
                     input_data:0(0) : 28*28*1

           Boundary Output Tensor(s)   (H*W*C)
           output_logits_MatMul:0(0) : 1*1*10

                    Total Node Count : 3
                       Input Node(s)   (H*W*C)
             conv2d_1_convolution(0) : 28*28*1

                      Output Node(s)   (H*W*C)
             output_logits_MatMul(0) : 1*1*10




                         Kernel Name : mnist_classifier_1

---

                         Kernel Type : CPUKernel
            Boundary Input Tensor(s)   (H*W*C)
          output_logits_Softmax:0(0) : 1*1*10

           Boundary Output Tensor(s)   (H*W*C)
          output_logits_Softmax:0(0) : 1*1*10

                       Input Node(s)   (H*W*C)
               output_logits_Softmax : 1*1*10

                      Output Node(s)   (H*W*C)
               output_logits_Softmax : 1*1*10

[balintbarna]

issue also doesn't seem to be present with the older version docker dontainer

[balintbarna]

I arrived to the same conclusion, can confirm

[Afef00]

Am facing the same issue.
The problem is elf models are not supported anymore and only xmodels are supported!! So is there any updated solution for this problem ??