خطا به data

[samira22]

با سلام.
من از کد زیر استفاده می کنم :

# Define data loaders.
train_loader = tf.data.Dataset.from_tensor_slices((x_train, y_train))
validation_loader = tf.data.Dataset.from_tensor_slices((x_val, y_val))


batch_size = 2
# Augment the on the fly during training.
train_dataset = (

train_loader.shuffle(len(x_train))
.map(train_preprocessing)
.batch(batch_size)
.prefetch(2)
)
# Only rescale.
validation_dataset = (
validation_loader.shuffle(len(x_val))
.map(validation_preprocessing)
.batch(batch_size)
.prefetch(2)
)

model = Net()
optimizer = optim.Adam(model.parameters(), lr=0.001)
loss_func = nn.NLLLoss()


epochs = 20
loss_list = []


model.train()
for epoch inrange(epochs):
total_loss = []
for batch_idx, (data, target) inenumerate(train_loader):
#batch_idx,

optimizer.zero_grad()
# Forward pass
output = model(data)
# Calculating loss
loss = loss_func(output, target)
# Backward pass
loss.backward()
# Optimize the weights
optimizer.step()

total_loss.append(loss.item())
loss_list.append(sum(total_loss)/len(total_loss))
print('Training [{:.0f}%]\tLoss: {:.4f}'.format(
100. * (epoch + 1) / epochs, loss_list[-1]))

و error زیر را دریافت می کنم:

[COLOR=var(--ansi-red)]TypeError[/COLOR] Traceback (most recent call last)
<ipython-input-33-505edb0b4bd3> in [COLOR=var(--ansi-cyan)]<module>[/COLOR]
[COLOR=var(--ansi-green)] 14[/COLOR] optimizer[COLOR=var(--ansi-blue)].[/COLOR]zero_grad[COLOR=var(--ansi-blue)]([/COLOR][COLOR=var(--ansi-blue)])[/COLOR]
[COLOR=var(--ansi-green)] 15[/COLOR] [COLOR=var(--ansi-red)]# Forward pass[/COLOR]
[COLOR=var(--ansi-green)]---> 16[/COLOR][COLOR=var(--ansi-red)] [/COLOR]output [COLOR=var(--ansi-blue)]=[/COLOR] model[COLOR=var(--ansi-blue)]([/COLOR]data[COLOR=var(--ansi-blue)])[/COLOR]
[COLOR=var(--ansi-green)] 17[/COLOR] [COLOR=var(--ansi-red)]# Calculating loss[/COLOR]
[COLOR=var(--ansi-green)] 18[/COLOR] loss [COLOR=var(--ansi-blue)]=[/COLOR] loss_func[COLOR=var(--ansi-blue)]([/COLOR]output[COLOR=var(--ansi-blue)],[/COLOR] target[COLOR=var(--ansi-blue)])[/COLOR]

---

/usr/local/lib/python3.7/dist-packages/torch/nn/modules/conv.py in [COLOR=var(--ansi-cyan)]_conv_forward[/COLOR][COLOR=var(--ansi-blue)](self, input, weight, bias)[/COLOR]
[COLOR=var(--ansi-green)] 452[/COLOR] _pair(0), self.dilation, self.groups)
[COLOR=var(--ansi-green)] 453[/COLOR] return F.conv2d(input, weight, bias, self.stride,
[COLOR=var(--ansi-green)]--> 454[/COLOR][COLOR=var(--ansi-red)] self.padding, self.dilation, self.groups)
[/COLOR][COLOR=var(--ansi-green)] 455[/COLOR]
[COLOR=var(--ansi-green)] 456[/COLOR] [COLOR=var(--ansi-green)]def[/COLOR] forward[COLOR=var(--ansi-blue)]([/COLOR]self[COLOR=var(--ansi-blue)],[/COLOR] input[COLOR=var(--ansi-blue)]:[/COLOR] Tensor[COLOR=var(--ansi-blue)])[/COLOR] [COLOR=var(--ansi-blue)]->[/COLOR] Tensor[COLOR=var(--ansi-blue)]:[/COLOR]

[COLOR=var(--ansi-red)]TypeError[/COLOR]: conv2d() received an invalid combination of arguments - got (tensorflow.python.framework.ops.EagerTensor, Parameter, Parameter, tuple, tuple, tuple, int), but expected one of:
* (Tensor input, Tensor weight, Tensor bias, tuple of ints stride, tuple of ints padding, tuple of ints dilation, int groups)
didn't match because some of the arguments have invalid types: (!tensorflow.python.framework.ops.EagerTensor!, !Parameter!, !Parameter!, !tuple!, !tuple!, !tuple!, int)
* (Tensor input, Tensor weight, Tensor bias, tuple of ints stride, str padding, tuple of ints dilation, int groups)
didn't match because some of the arguments have invalid types: (!tensorflow.python.framework.ops.EagerTensor!, !Parameter!, !Parameter!, !tuple!, !tuple!, !tuple!, int)

لطفا راهنمایی بفرمایید.
با تشکر