nnom
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Published
20 hours ago •
majianjia
majianjia
kws编译成功了mcu端
求解决方法 layer[0] = Input(shape(63, 12, 1), nnom_input_data); layer[1] = model.hook(Conv2D(16, kernel(5, 5), stride(1, 1), PADDING_VALID, &conv2d_1_w, &conv2d_1_b), layer[0]); layer[2] = model.active(act_relu(), layer[1]); layer[3] = model.hook(MaxPool(kernel(2, 1), stride(2, 1), PADDING_VALID), layer[2]); layer[4] = model.hook(Conv2D(32, kernel(3, 3), stride(1, 1), PADDING_VALID, &conv2d_2_w, &conv2d_2_b), layer[3]); layer[5] = model.active(act_relu(), layer[4]); layer[6] = model.hook(MaxPool(kernel(2, 1), stride(2, 1), PADDING_VALID), layer[5]); layer[7] = model.hook(Conv2D(64, kernel(3, 3), stride(1, 1), PADDING_VALID, &conv2d_3_w, &conv2d_3_b), layer[6]); layer[8] = model.active(act_relu(), layer[7]); layer[9] = model.hook(Conv2D(32, kernel(3, 3), stride(1, 1), PADDING_VALID, &conv2d_4_w, &conv2d_4_b), layer[8]); layer[10] = model.active(act_relu(), layer[9]); layer[11] = model.hook(Dense(35, &dense_1_w, &dense_1_b), layer[10]); layer[12] = model.hook(Softmax(), layer[11]); layer[13] = model.hook(Output(shape(35,1,1), nnom_output_data), layer[12]); 打印出来的信息是这个应该咱们解决 NNoM version 0.3.0 Start compiling model... Layer(#) Activation output shape ops(MAC) mem(in, out, buf) mem blk lifetime
#1 Input - - (32840,1607, 72,) ( 756, 0, 0) 1 - - - - - - - #2 Conv2D - ReLU - (32840,1607, 72,) ( 0, 0, 7200) 1 1 1 - - - - - #3 MaxPool - - (32840,1607, 72,) ( 0, 0, 0) 1 1 1 - - - - -
WARNING: model returned at #0
Try increasing the heap size. I had the same issue. Increasing heap solved it for me.
