InvalidArgumentError: ConcatOp : Dimensions of inputs should match: shape[0] = [1,136,240,64] vs. shape[1] = [1,135,240,64] - 代码天地

InvalidArgumentError: ConcatOp : Dimensions of inputs should match: shape[0] = [1,136,240,64] vs. shape[1] = [1,135,240,64]

其他 2019-04-04 10:32:40 阅读次数: 0

NoSuchKey

猜你喜欢

转载自www.cnblogs.com/2333333he-tui/p/10653359.html

InvalidArgumentError: ConcatOp : Dimensions of inputs should match: shape[0] = [1,136,240,64] vs. shape[1] = [1,135,240,64]

问题记录：InvalidArgumentError: xxx and xxx not the same shape: [] != [1] (tag ' ')

【onnx转tensorrt报错】IShuffleLayer applied to shape tensor must have 0 or 1 reshape dimensions: dimensi

关于bidirectional_dynamic_rnn出现 Dimensions of inputs should match问题

InvalidArgumentError : Shape in shape_and_slice spec [,] does not match the shape stored in checkpoi

Error when checking input: expected input_1 to have 3 dimensions, but got array with shape (37, 30）

image.shape[0],image.shape[1],image.shape[2]

ValueError: Cannot feed value of shape (1,) for Tensor u'Placeholder:0', which has shape '(1, 1)'

Python中的shape[0]、shape[1]和shape[-1]分别是什么意思（附代码）

ValueError:Shape of `pred` and `label should be equal, but there are [1, 288, 384] and [1, 292, 384]

搭建自己的深度学习模型_output with shape [1, 167, 390] doesn‘t match the broadcast shape [3, 167, 390]

已解决ValueError: Cannot feed value of shape (1, 10, 4) for Tensor ‘Placeholder:0‘, which has shape ‘(?

python中 .shape[0]和.reshape(X.shape[0], -1)及X.reshape(X.shape[0], -1).T 的用法

Check failed: ref_.load() == 0 (1 vs. 0)

RuntimeError: shape '[64, 1, 1, 1]' is invalid for input of size 6400

Cannot copy param 0 weights from layer 'conv6'; shape mismatch. Source param shape is 21 512 1 1

np.ones(len(X), 1) 与np.hstack((X, index))与X.shape(0)与X.shape(1)

mxnet.base.MXNetError: src/imperative/./imperative_utils.h:70: Check failed: inputs[i]->ctx().dev_mask() == ctx.dev_mask() (1 vs. 2)

YOLOv5训练过程中遇到该问题的解决方法ValueError: The requested array has an inhomogeneous shape after 1 dimensions

Android开发样式(1)-shape

numpy函数：[1]shape用法

Shape must be rank 1 but is rank 0 for 'bn1/cond/Reshape_4' (op: 'Reshape') with input shapes: [1,64

ValueError: Cannot feed value of shape (2,) for Tensor u'Placeholder_2:0', which has shape '(1, 2)'

input: kMAX dimensions in profile 0 are [2,3,128,128] but input has static dimensions [1,3,128,128]

shape 函数，以及shape(2,)和shape（2，1）区别

Python reshape函数参数-1(X.reshape(X.shape[0], -1).T)

ValueError: Shape must be rank 1 but is rank 0 for 'bn_conv1/cond/Reshape_4' (op: 'Reshape') with input shapes: [1,64,1,1], [].

tensorflow2.0 InvalidArgumentError: indices[1] = [0,1] is out of order [Op:SparseToDense]解决

Cannot copy param 0 weights from layer 'fc160_1'; shape mismatch.

【TensorFlow】ValueError: Shape must be rank 1 but is rank 0 for ' ’ with input shapes: [].问题

今日推荐

周排行

阿里云服务器ECS开放8080端口

求正弦和余弦

链表倒数第n个节点

vue.js入门（13）实战demo

Java学习——day 15

My First Day in CSDN

Oracle11g 密码延迟认证导致library cache lock的情况分析

SAP ALV输出字段内容前增加空格

CloudFlare 推出免费 VPN 服务「Warp」，你懂的！

BUG(跑SLAM14-ch10)

每日归档

更多

2025-03-16(0)

2025-03-15(0)

2025-03-14(0)

2025-03-13(0)

2025-03-12(0)

2025-03-11(0)

2025-03-10(0)

2025-03-09(0)

2025-03-08(0)

2025-03-07(0)