Hi All,
I trust you're staying safe, I am acquainting myself with the Gluon API and still trying to comprehend what the errors I encounter really mean. I keep getting the listed error and googling it I stumbled upon [this post](https://discuss.mxnet.apache.org/t/positional-arguments-must-have-ndarray-type/4578), however, following the listed suggestions did not eradicate the error. Its apparent I'm over looking at something here. If you're wondering about the data I am reading the it from an HDF5 file. Thanks in advance!!, and I would appreciate your help greatly on this Here is the details of the error: AssertionError: Argument a must have NDArray type, but got [[ 30.55 66.25 1009.15 63.52] [ 13.21 41.2 1016.63 74.1 ] [ 26.99 72.99 1008. 76.1 ] ... [ 18.59 41.1 1001.93 58.16] [ 14.49 41.16 1000.5 82.17] [ 26.56 65.59 1012.6 64.25]] And the code responsible for the error: def sgd(params, lr, batch_size): print("entered sgd: ") for p in params: p[:] -= lr * p.grad / batch_size #@save from d2l import mxnet as d2l import mxnet as mx from mxnet import np, npx def linreg(X, w, b): return np.dot(X, w) + b def squared_loss(y_hat, y): return (y_hat - y.reshape(y_hat.shape))**2/2 #@save def train_ch11(trainer_fn, lr, batch_size, data_iter, num_epochs=2): # Initialization print("Entering train_ch11") #feature_dim = data.shape[1] w = np.random.normal(scale=.01, size=(4, 1)) b = np.zeros(1) w.attach_grad() b.attach_grad() lr = 0.01 net = linreg loss = squared_loss print("setting up net and loss functions") n, timer = 0, d2l.Timer() for _ in range(num_epochs): ctx = mx.gpu() if mx.context.num_gpus() else mx.cpu() timer.start() for X, y in data_iter: Xdata, ydata = X.as_in_context(ctx), y.as_in_context(ctx) X, y = np.float64(Xdata), np.float64(ydata) with mx.autograd.record(): inter = net(*[X], w, b) #X producing ArgumentError l = loss(inter, y) l.backward() sdg([w, b], lr, batch_size) #train_l = loss(net(features, w, b), labels) timer.stop() print("finish training model") print(f'performance in Gigaflops: block {2 / timer.times[3]:.3f}') --- [Visit Topic](https://discuss.mxnet.apache.org/t/assertionerror-argument-a-must-have-ndarray-type-but-got/6768/1) or reply to this email to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.mxnet.apache.org/email/unsubscribe/4a6d151d86ac457bf552f19ba4e2875bfc9061e0cca3a4cf908c2b0ac5605925).
