模型有两个图片+一个音频三个输入，因为 MNN只支持0:NHWC, 1:NCHW, 2:NC4HW4，那我音频输入的数据格式要怎么设置？ about mnn HOT 3 CLOSED

用 GetMNNInfo model.mnn可以查看三个输入对应的dimension format

from mnn.

用 GetMNNInfo model.mnn可以查看三个输入对应的dimension format
hw.cpufamily: 3660830781 , size = 4
The device support i8sdot:1, support fp16:1, support i8mm: 0
Model default dimensionFormat is NCHW
Model Inputs:
[ source_img ]: dimensionFormat: NC4HW4, size: [ 1,3,416,320 ], type is float
[ ref_img ]: dimensionFormat: NC4HW4, size: [ 1,15,416,320 ], type is float
[ audio_feature ]: dimensionFormat: NC4HW4, size: [ 1,29,5 ], type is float
Model Outputs:
[ 774 ]
Model Version: 2.8.3
使用GetMNNInfo model.mnn获取到的信息，但是这个跟我下面代码读到信息不一致

`auto input = net->getSessionInput(session, "source_img");
MNN_PRINT("source_img shape size: %d, ", input->shape().size());
for (int i = 0; i < input->shape().size(); ++i) {
MNN_PRINT("%d --> dim:%d, ", i, input->shape()[i]);
}
MNN_PRINT("N: %d, C:%d, H:%d, W:%d, ",input->batch(), input->channel(), input->height(), input->width());
MNN_PRINT("type:%d (0: NHWC, 1:NCHW, 2:NC4HW4)", input->getDimensionType());
MNN_PRINT("\n\n");

auto input2 = net->getSessionInput(session, "ref_img");
MNN_PRINT("ref_img shape size: %d, ", input2->shape().size());
for (int i = 0; i < input2->shape().size(); ++i) {
    MNN_PRINT("%d --> dim:%d, ", i, input2->shape()[i]);
}
MNN_PRINT("N: %d, C:%d, H:%d, W:%d, ",input2->batch(), input2->channel(), input2->height(), input2->width());
MNN_PRINT("type:%d (0: NHWC, 1:NCHW, 2:NC4HW4)", input2->getDimensionType());
MNN_PRINT("\n\n");

auto input3 = net->getSessionInput(session, "audio_feature");
MNN_PRINT("audio_feature shape size: %d, ", input3->shape().size());
for (int i = 0; i < input3->shape().size(); ++i) {
    MNN_PRINT("%d --> dim:%d, ", i, input3->shape()[i]);
}
MNN_PRINT("N: %d, C:%d, H:%d, W:%d, ",input3->batch(), input3->channel(), input3->height(), input3->width());
MNN_PRINT("type:%d (0:NHWC, 1:NCHW, 2:NC4HW4)", input3->getDimensionType());
MNN_PRINT("\n\n");`

hw.cpufamily: 3660830781 , size = 4
The device support i8sdot:1, support fp16:1, support i8mm: 0
source_img shape size: 4, 0 --> dim:1, 1 --> dim:3, 2 --> dim:416, 3 --> dim:320, N: 1, C:3, H:416, W:320, type:1 (0: NHWC, 1:NCHW, 2:NC4HW4)

ref_img shape size: 4, 0 --> dim:1, 1 --> dim:15, 2 --> dim:416, 3 --> dim:320, N: 1, C:15, H:416, W:320, type:1 (0: NHWC, 1:NCHW, 2:NC4HW4)

audio_feature shape size: 3, 0 --> dim:1, 1 --> dim:29, 2 --> dim:5, N: 1, C:29, H:5, W:1, type:1 (0:NHWC, 1:NCHW, 2:NC4HW4)

from mnn.

getDimensionType 由于历史原因，会把 NC4HW4 当成 NCHW 传回。
另外建议模型转换时加上 --keepInputFormat 参数，这样根据原始模型统一用 NCHW (Onnx) 或者 NHWC (Tensorflow)即可

from mnn.