Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
在训练时没有出现问题，在验证时
ValueError: (InvalidArgument) Broadcast dimension mismatch. Operands could not be broadcast together with the shape of X = [1, 128, 32, 45] and the shape of Y = [1, 128, 32, 44]. Received [45] in X is not equal to [44] in Y at i:3.
[Hint: Expected x_dims_array[i] == y_dims_array[i] || x_dims_array[i] <= 1 || y_dims_array[i] <= 1 == true, but received x_dims_array[i] == y_dims_array[i] || x_dims_array[i] <= 1 || y_dims_array[i] <= 1:0 != true:1.] (at /paddle/paddle/phi/kernels/funcs/common_shape.h:84)
[operator < elementwise_add > error]
liukp557
commented
8 months ago
base: '../base/ade20k.yml'
batch_size: 3 iters: 120000
train_dataset: transforms:
model: type: DDRNet_23 enable_auxiliary_loss: False pretrained: Null
optimizer: type: sgd weight_decay: 0.0005
loss: types:
lr_scheduler: type: PolynomialDecay learning_rate: 0.01 end_lr: 0.0 power: 0.9
在训练时没有出现问题，在验证时 ValueError: (InvalidArgument) Broadcast dimension mismatch. Operands could not be broadcast together with the shape of X = [1, 128, 32, 45] and the shape of Y = [1, 128, 32, 44]. Received [45] in X is not equal to [44] in Y at i:3. [Hint: Expected x_dims_array[i] == y_dims_array[i] || x_dims_array[i] <= 1 || y_dims_array[i] <= 1 == true, but received x_dims_array[i] == y_dims_array[i] || x_dims_array[i] <= 1 || y_dims_array[i] <= 1:0 != true:1.] (at /paddle/paddle/phi/kernels/funcs/common_shape.h:84) [operator < elementwise_add > error]