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在用timit数据集和capsule network 模型,具体参数如下:--mode train --level phn --model CapsuleNetwork --rnncell lstm --num_layer 2 --activation sigmoid --optimizer adam 运行出现如下错误: tensorflow.python.framework.errors_impl.InvalidArgumentError: sequence_length(0) <= 128 [[Node: CTCLoss = CTCLoss[ctc_merge_repeated=true, ignore_longer_outputs_than_inputs=false, preprocess_collapse_repeated=false, _device="/job:localhost/replica:0/task:0/device:CPU:0"](transpose/_3, _arg_Placeholder_1_0_1, _arg_Placeholder_2_0_2, _arg_Placeholder_4_0_4)]] @zzw922cn,麻烦您了。
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model.seqLengths: [128,...]
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解决了吗?我遇到了同样的问题
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在用timit数据集和capsule network 模型,具体参数如下:--mode train --level phn --model CapsuleNetwork --rnncell lstm --num_layer 2 --activation sigmoid --optimizer adam
运行出现如下错误:
tensorflow.python.framework.errors_impl.InvalidArgumentError: sequence_length(0) <= 128
[[Node: CTCLoss = CTCLoss[ctc_merge_repeated=true, ignore_longer_outputs_than_inputs=false, preprocess_collapse_repeated=false, _device="/job:localhost/replica:0/task:0/device:CPU:0"](transpose/_3, _arg_Placeholder_1_0_1, _arg_Placeholder_2_0_2, _arg_Placeholder_4_0_4)]]
@zzw922cn,麻烦您了。
The text was updated successfully, but these errors were encountered: