Feature/rnn to array to lod tensor #5411
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LoD Rank Table stores the `level` of `lod` which is ordered by sequence length in descending order. It is useful when implement dynamic RNN and is shared by dynamic RNN memory, dynamic RNN slice input and dynamic RNN slice output operators.
…_array_to_lod_tensor
…om/reyoung/Paddle into feature/rnn_to_array_to_lod_tensor
…om/reyoung/Paddle into feature/rnn_to_array_to_lod_tensor
… feature/rnn_to_array_to_lod_tensor
…om/reyoung/Paddle into feature/rnn_to_array_to_lod_tensor
…om/reyoung/Paddle into feature/rnn_to_array_to_lod_tensor
…om/reyoung/Paddle into feature/rnn_to_array_to_lod_tensor
…om/reyoung/Paddle into feature/rnn_to_array_to_lod_tensor
…om/reyoung/Paddle into feature/rnn_to_array_to_lod_tensor
…ng/Paddle into feature/rnn_to_array_to_lod_tensor
| @@ -45,7 +45,8 @@ void VarDescBind::SetLoDLevel(int32_t lod_level) { | |||
| desc_.mutable_tensor_array()->set_lod_level(lod_level); | |||
| break; | |||
| default: | |||
| PADDLE_THROW("Tensor type=%d does not support LoDLevel", desc_.type()); | |||
| PADDLE_THROW("Tensor type=%d does not support LoDLevel", | |||
| desc_.tensor_array().lod_level()); | |||
There was a problem hiding this comment.
why substitute desc_.tensor_array().lod_level() into type=%d?
| @@ -56,7 +57,8 @@ int32_t VarDescBind::GetLodLevel() const { | |||
| case VarDesc::LOD_TENSOR_ARRAY: | |||
| return desc_.tensor_array().lod_level(); | |||
| default: | |||
| PADDLE_THROW("Tensor type=%d does not support LoDLevel", desc_.type()); | |||
| PADDLE_THROW("Tensor type=%d does not support LoDLevel", | |||
| desc_.tensor_array().lod_level()); | |||
There was a problem hiding this comment.
why substitute desc_.tensor_array().lod_level() into type=%d?
added 2 commits
November 7, 2017 21:49
Rnn to array to lod tensor
…om/reyoung/Paddle into feature/rnn_to_array_to_lod_tensor
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