Keras：ValueError: Negative dimension size caused by subtracting 2 from 1 for - 代码天地

Keras：ValueError: Negative dimension size caused by subtracting 2 from 1 for

其他 2018-06-14 05:08:01 阅读次数: 3

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转载自blog.csdn.net/akadiao/article/details/80531070

Keras：ValueError: Negative dimension size caused by subtracting 2 from 1 for

ValueError: Negative dimension size caused by subtracting 3 from 1 for 'conv2d_6/convolution' (op: '

ValueError: Negative dimension size caused by subtracting 2 from 1 for 'max_pooling2d_1/MaxPool' (op

错误：InvalidArgumentError: Negative dimension size caused by subtracting 8 from 4 for 'conv2d_1/convol

Negative dimension size caused by subtracting 2 from 1 for ‘{{node fcinn/fgcnn_layers/max_pooling2d_

ValueError: cannot copy sequence with size 11520 to array axis with dimension 290400

that if the size of dimension 1 of the input is not 1, the ONNX model will return an error

解决问题：ValueError: (InvalidArgument) The 2-th dimension of input[0] and input[1] is expected to be equ

targets.append(torch.FloatTensor(sample[1])) RuntimeError: given sequence has an invalid size of dimension 2: 0

ValueError: It seems that you are using the Keras 2 and you are passing both `kernel_size` and `stri

The expanded size of the tensor (256) must match the existing size (81) at non-singleton dimension1

Sizes of tensors must match except in dimension 1. Expected size 24 but got size 25 for tensor numbe

记录解决RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 27 but got size

The size of tensor a (20) must match the size of tensor b (10) at non-singleton dimension 2 GCN trai

ValueError: Expected more than 1 value per channel when training, got input size torch.Size([1, 2, 1

Caused by: java.lang.UnsupportedOperationException: Can't convert to dimension: type=0x1f

Caused by:java.lang.UnsupportedOperationException: Can't convert to dimension:type=0x1

关于李沐深度学习The size of tensor a (10) must match the size of tensor b (256) at non-singleton dimension 1

RuntimeError: Sizes of tensors must match except in dimension 1. Got 61 and 60 in dimension 2

IndexError: index is out of bounds for dimension with size 0

Mask_RCNN:ValueError: Dimension 1 in both shapes must be equal, but are 8 and 324.

ValueError: Dimension 1 in both shapes must be equal, but are 8 and 324 for 'Assign_376' (op: 'Assig

python：ValueError: numpy.ufunc size changed, may indicate binary incompatibility. Expected 216 from

ValueError: Expected more than 1 value per channel when training, got input size torch.Size

ValueError: Expected more than 1 value per channel when training, got input size torch.Size([1, 8, 1

Caused by: java.nio.charset.MalformedInputException: Input length = 1/2；

深度学习语言模型(3)-word2vec负采样(Negative Sampling) 模型(keras版本)

index 2 is out of bounds for axis 1 with size 2

成功解决ValueError: numpy.ufunc size changed, may indicate binary incompatibility. Expected 216 from C h

已解决ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 96 from C h

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