Extend spec for CTCGreedyDecoderSeqLen (#4426)
* Extend spec for CTCGreedyDecoderSeqLen * Update spec * Update CTCGreedyDecoder v1 spec * Fix spec
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@@ -53,7 +53,7 @@ The main difference between [CTCGreedyDecoder](CTCGreedyDecoder_1.md) and CTCGre
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* **2**: `sequence_length` - input tensor of type *T_I* of shape `[N]` with sequence lengths. The values of sequence length must be less or equal to `T`. **Required.**
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* **3**: `blank_index` - scalar or 1D tensor with 1 element of type *T_I*. Specifies the class index to use for the blank class. The `blank_index` is not saved to the result sequence and it is used for post-processing. Default value is `C-1`. **Optional**.
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* **3**: `blank_index` - scalar or 1D tensor with 1 element of type *T_I*. Specifies the class index to use for the blank class. Regardless of the value of `merge_repeated` attribute, if the output index for a given batch and time step corresponds to the `blank_index`, no new element is emitted. Default value is `C-1`. **Optional**.
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**Output**
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@@ -17,6 +17,8 @@ p(C|X) = \prod_{t=1}^{T} p(c_{t}|X)
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Sequences in the batch can have different length. The lengths of sequences are coded as values 1 and 0 in the second input tensor `sequence_mask`. Value `sequence_mask[j, i]` specifies whether there is a sequence symbol at index `i` in the sequence `i` in the batch of sequences. If there is no symbol at `j`-th position `sequence_mask[j, i] = 0`, and `sequence_mask[j, i] = 1` otherwise. Starting from `j = 0`, `sequence_mass[j, i]` are equal to 1 up to the particular index `j = last_sequence_symbol`, which is defined independently for each sequence `i`. For `j > last_sequence_symbol`, values in `sequence_mask[j, i]` are all zeros.
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**Note**: Regardless of the value of `ctc_merge_repeated` attribute, if the output index for a given batch and time step corresponds to the `blank_index`, no new element is emitted.
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**Attributes**
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* *ctc_merge_repeated*
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