ValueError: Dimensions must be equal, but are 784 and 10 for ‘add‘ (op: ‘Add‘) with input shapes: [7,程序员大本营,技术文章内容聚合第一站。
cifar10_input.py : ValueError: Dimensions must be equal, but are 3 and 2 for 'random_crop/GreaterEqual' (op: 'GreaterEqual') with input shapes: [3], [2]. 1. 报错原因:数据应该传入图片的高度、宽度和通道数,但是只传入了高度和宽度导致报错。 解决方案:执行如下修改 # 报错代码 distorted_imag...
1、找到报错的用户代码行:out = ops.matmul (x1, x2); 2、 根据日志报错信息中的关键字,缩小分析问题的范围:For 'MatMul', the input dimensions must be equal, but got 'x1_col': 12800 and 'x2_row': 10.]; 3、结合官网对API的相关介绍,查看传入到API时的参数是否符合要求,也可以根据调用栈信息...
ValueError: Dimensions must be equal I implement attention model classAttentionLayer(Layer):'''Attention Layer over LSTM'''def__init__(self,output_dim=None,init='glorot_uniform',attn_activation='tanh',W_regularizer=None,b_regularizer=None,W_constraint=None,b_constraint=None,bias=True,**kwargs...
ValueError: For 'MatMul' the input dimensions must be equal, but got 'x1_col': 5120 and 'x2_row': 640. matmul算子编译报错,两个矩阵维度对不上 x = matmul(x, weight) 其中,x.shape=(-1,5120),weight.shape=(5120, 5120) 算子matmul的并行策略为: self.matmul.shard(((1,8), (8,1))...
ValueError: Dimensions must be equal, but are 32 and 256 for 'P5/TCM_Module/BroadcastTo' (op: 'BroadcastTo') with input shapes: [?,32,32], [4] and with input tensors computed as partial shapes: input[1] = [?,32,32,256].Jul 23, 2019...
ValueError: For'MatMul'the input dimensions must be equal, but got'x1_col':32768and'x2_row':...
报错信息:ValueError: For 'MatMul', the inputdimensionsmust be equal, but got 'x1_col': 2 and 'x2_row': 1. And 'x' shape [2, 3](transpose_a=True), 'y' shape [1, 3](transpose_b=False). 2 原因分析 根据报错信息,是MatMul算子在infer shape时检查输入的shape不正确,具体是x1的列数...
报错信息:ValueError: For ‘MatMul’, the input dimensions must be equal, but got ‘x1_col’: 2 and ‘x2_row’: 1. And ‘x’ shape [2, 3](#), ‘y’ shape [1, 3](#). 2 原因分析 根据报错信息,是MatMul算子在infer shape时检查输入的shape不正确,具体是x1的列数不等于x2的行数。
aTransfer Service 调动服务[translate] a你要来南宁吗? 正在翻译,请等待...[translate] aDimensions of the original hex-string and replaced must be equal. 原始的不吉利的东西串的维度和被替换一定是相等的。[translate]