[Bug]: Unable to Profile DMATask on NPU40XX

[ColorsWind]

OpenVINO Version

Master Branch

Operating System

Ubuntu 20.04 (LTS)

Device used for inference

NPU

Framework

None

Model used

sigmoid funtion

Issue description

I am currently investigating the time breakdown of tasks within a single model in Intel ultra258v. However, I've encountered an issue where I cannot profile the DMATask. I've spent a week trying to identify any missing information but have yet to resolve the problem. I try using the Level Zero API to submit tasks directly and then use the Level Zero NPU extension API to get profiling results, I find that the DMA profiling output data is zero, while the DPU and SW-Kernel profiling outputs are valid. I am wondering how I can obtain the DMA task profiling results.

Step-by-step reproduction

Step 1: Create the Sigmoid Model

import numpy as np
import openvino as ov
from openvino.runtime import op, opset1

n_len = 128
ov_type = ov.Type.f16

A = op.Parameter(ov_type, ov.Shape([n_len]))
C = opset1.sigmoid(A)
model = ov.Model(C, [A])
ov.save_model(model, "sigmoid.xml")

Step 2: Compile the Sigmoid Model with DMA Profiling Flags

vpux-translate --vpu-arch=NPU40XX \
    --vpux-profiling \
    --mlir-print-debuginfo \
    --import-IE sigmoid.xml -o sigmoid.mlir
    
vpux-opt --vpu-arch=NPU40XX \
    --default-hw-mode="profiling=true dma-profiling=true" \
    --lower-VPUIP-to-ELF sigmoid.mlir \
    -o sigmoid_out.mlir
vpux-translate --vpu-arch=NPU40XX --export-ELF sigmoid_out.mlir -o sigmoid.blob

Step 3: Run the Model

import os
os.environ['ZE_INTEL_NPU_LOGLEVEL'] = 'ERROR'

import openvino as ov
import numpy as np

core = ov.Core()
core.set_property('NPU', {
    'PERF_COUNT': True,
})
with open('sigmoid.blob', 'rb') as f:
    blob = f.read()
model = core.import_model(blob, device_name='NPU')
req = model.create_infer_request()
req.infer(np.random.random(128).astype(np.float16))
prof_info = req.profiling_info[0]
print('status', prof_info.status)
print('real_time', prof_info.real_time)
print('cpu_time', prof_info.cpu_time)
print('node_name', prof_info.node_name)
print('exec_type', prof_info.exec_type)
print('node_type', prof_info.node_type)

Relevant log output

NPU_LOG: *ERROR* [compiler.cpp:289] Failed to get decoded profiling data in compiler

Issue submission checklist

• I'm reporting an issue. It's not a question.
• I checked the problem with the documentation, FAQ, open issues, Stack Overflow, etc., and have not found a solution.
• There is reproducer code and related data files such as images, videos, models, etc.