how to use the numpy data in the DALI about dali_backend HOT 3 OPEN

Hi @1124676457 ,

thanks for reaching out. Could you post your DALI Pipeline code? Or at least some relevant part of it?

from dali_backend.

嗨@1124676457 ，

感谢您伸出援手。你能发布你的DALI管道代码吗？或者至少是其中的一些相关部分？

@dali.pipeline_def(batch_size=1, num_threads=4, device_id=0)
def pipe():
images = dali.fn.external_source(device="cpu",name="DALI_INPUT_0")
images = images / 255
images = dali.fn.decoders.image(images, device="mixed", output_type=types.RGB)
images = dali.fn.resize(images, device='gpu',resize_x=1024, resize_y=576)
images = dali.fn.reshape(images,device='gpu',
src_dims=[2,0,1],
layout="CHW")
images = dali.fn.expand_dims(images, axes=[0], new_axis_names="N")
#images = images / 255

return images

the decode code is this, the worker.frame is the nvdecode's result, shape is (1620,1920):
while True:
if worker.updated:
c += 1
time_connect = time.time()
worker.updated = False
output = triton(worker.frame)

from dali_backend.

@1124676457 ,

your DALI Pipeline looks correct. It suggests, that maybe you're sending the data to the Triton in an improper way. The typical sending pattern for the pipeline you've posted is using either np.fromfile(filename, dtype=np.uint8) or open(filename, 'rb') function to open JPEG binary and sending it to the DALI Backend. Should you like to post the client code, I'll take a look and I can point to a problem.

Please refer to these examples that illustrate the usage pattern that is the most common with the pipeline you've presented:

from dali_backend.