Bugfixes. Increased input seq length

make_triton_repo.sh

@@ -6,5 +6,6 @@ nvidia-docker run --gpus=all -it --rm --name iitm-tts-dhruva-builder -v ./Fastsp
 mkdir triton_model_repo
 nvidia-docker run --gpus=all -it --rm --name iitm-tts-dhruva-builder -v ./patches:/patches -v ./triton_models/tts:/model -v ./triton_model_repo:/model_repo dhruva/iitm-tts-envbuilder bash /model/envbuilder.sh
 cp Fastspeech2_HS/text_preprocess_for_inference.py triton_model_repo/tts/1
+cp Fastspeech2_HS/get_phone_mapped_python.py triton_model_repo/tts/1
 cp -r triton_models/tts/config.pbtxt triton_models/tts/1 triton_model_repo/tts
 cp -r onnx_models/* Fastspeech2_HS/phone_dict Fastspeech2_HS/multilingualcharmap.json triton_model_repo/tts/1
\ No newline at end of file

patches/espnet_onnx.patch

+diff --git a/espnet_onnx/export/tts/models/tts_models/fastspeech2.py b/espnet_onnx/export/tts/models/tts_models/fastspeech2.py
+index 29197e2..0022e51 100644
+--- a/espnet_onnx/export/tts/models/tts_models/fastspeech2.py
++++ b/espnet_onnx/export/tts/models/tts_models/fastspeech2.py
+@@ -10,7 +10,7 @@ from espnet_onnx.utils.torch_function import MakePadMask, normalize
+ 
+ 
+ class OnnxLengthRegurator(nn.Module):
+-    def __init__(self, alpha=1.0, max_seq_len=512):
++    def __init__(self, alpha=1.0, max_seq_len=1000):
+         super().__init__()
+         self.alpha = alpha
+         # The maximum length of the make_pad_mask is the
+@@ -59,7 +59,7 @@ class OnnxFastSpeech2(nn.Module, AbsExportModel):
+     def __init__(
+         self,
+         model,
+-        max_seq_len: int = 512,
++        max_seq_len: int = 1000,
+         alpha: float = 1.0,
+         use_cache: bool = True,
+         **kwargs,
 diff --git a/espnet_onnx/tts/abs_tts_model.py b/espnet_onnx/tts/abs_tts_model.py
 index 591947a..9de64a5 100644
 --- a/espnet_onnx/tts/abs_tts_model.py
@@ -84,6 +106,19 @@ index 1270468..4aa63c6 100644
  
  
  class AbsExportModel(ABC):
+diff --git a/espnet_onnx/utils/torch_function.py b/espnet_onnx/utils/torch_function.py
+index c274346..f88f8bc 100644
+--- a/espnet_onnx/utils/torch_function.py
++++ b/espnet_onnx/utils/torch_function.py
+@@ -6,7 +6,7 @@ import torch.nn as nn
+ 
+ 
+ class MakePadMask(nn.Module):
+-    def __init__(self, max_seq_len=512, flip=True):
++    def __init__(self, max_seq_len=1000, flip=True):
+         super().__init__()
+         if flip:
+             self.mask_pad = torch.Tensor(1 - np.tri(max_seq_len)).type(torch.bool)
 diff --git a/setup.py b/setup.py
 index 483b062..ee37d37 100644
 --- a/setup.py

triton_models/tts/1/model.py

@@ -79,7 +79,7 @@ class TritonPythonModel:
             providers=[
                 "CPUExecutionProvider"
                 if device == "cpu"
-                else ("CUDAExecutionProvider", {"device_id": self.device_id})
+                else ("CUDAExecutionProvider", {"device_id": self.device_id, "arena_extend_strategy": "kSameAsRequested"})
             ],
         )
 
@@ -88,7 +88,7 @@ class TritonPythonModel:
             providers=[
                 "CPUExecutionProvider"
                 if device == "cpu"
-                else ("CUDAExecutionProvider", {"device_id": self.device_id})
+                else ("CUDAExecutionProvider", {"device_id": self.device_id, "arena_extend_strategy": "kSameAsRequested"})
             ],
             model_dir=f"text2phone/{language}-{gender}-ort",
             use_quantized=True,

triton_models/tts/envbuilder.sh

@@ -11,7 +11,7 @@ conda activate tts
 mamba install -c "nvidia/label/cuda-11.8.0" libcublas libcufft cuda-cudart -y
 git clone --recursive https://github.com/espnet/espnet_onnx.git
 cd espnet_onnx && git apply /patches/espnet_onnx.patch && python setup.py bdist_wheel && cd ..
-pip install -U numpy pandas nltk indic-num2words g2p_en "espnet_onnx/dist/espnet_onnx-0.2.0-py3-none-any.whl"
+pip install -U numpy pandas nltk indic-num2words g2p_en "espnet_onnx/dist/espnet_onnx-0.2.0-py3-none-any.whl" indic-unified-parser
 conda deactivate
 conda pack -n tts
 conda activate tts