#448·DeepCTR

(非常紧急)运行DeepFM 并将FM添加到其他模型时出现错误 ValueError: Dimension 0 in both shapes must be equal, but are 1 and 64。如何解决此问题?

作者: Motsen创建于 2022年3月1日更新于 2023年9月12日
标签question

Describe the question: Running DeepFM and adding FM to other models, an error is reported: ValueError: Dimension 0 in both shapes must be equal, but are 1 and 64. Shapes are [1] and [64]. for '{{node functional_1/concatenate_1/concat_1}} = ConcatV2[N=25, T=DT_BOOL, Tidx=DT_INT32](functional_1/concatenate_1/ones_like, functional_1/concatenate_1/ones_like_1, functional_1/concatenate_1/ones_like_2, functional_1/concatenate_1/ones_like_3, functional_1/concatenate_1/ones_like_4, functional_1/concatenate_1/ones_like_5, functional_1/concatenate_1/ones_like_6, functional_1/concatenate_1/ones_like_7, functional_1/concatenate_1/ones_like_8, functional_1/concatenate_1/ones_like_9, functional_1/concatenate_1/ones_like_10, functional_1/concatenate_1/ones_like_11, functional_1/concatenate_1/ones_like_12, functional_1/concatenate_1/ExpandDims, functional_1/concatenate_1/ones_like_13, functional_1/concatenate_1/ones_like_14, functional_1/concatenate_1/ones_like_15, functional_1/concatenate_1/ones_like_16, functional_1/concatenate_1/ones_like_17, functional_1/concatenate_1/ones_like_18, functional_1/concatenate_1/ones_like_19, functional_1/concatenate_1/ones_like_20, functional_1/concatenate_1/ones_like_21, functional_1/concatenate_1/ones_like_22, functional_1/concatenate_1/ones_like_23, functional_1/concatenate_1/concat_1/axis)' with input shapes: [?,1,64], [?,1,64], [?,1,64], [?,1,64], [?,1,64], [?,1,64], [?,1,64], [?,1,64], [?,1,64], [?,1,64], [?,1,64], [?,1,64], [?,1,64], [?,1,1], [?,1,64], [?,1,64], [?,1,64], [?,1,64], [?,1,64], [?,1,64], [?,1,64], [?,1,64], [?,1,64], [?,1,64], [?,1,64], [] and with computed input tensors: input[25] = <1>.

内容来源: shenweichen/DeepCTR