mirror of
https://github.com/2noise/ChatTTS.git
synced 2026-08-28 17:45:02 +08:00
docs: fix typos (#972)
Found via `codespell -S docs,*.ipynb -L thre,te,erro` and `typos --hidden --format brief`
This commit is contained in:
@@ -156,7 +156,7 @@ class BlockSpaceManager:
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self.block_sliding_window
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and len(block_table) >= self.block_sliding_window
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):
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# re-use a block
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# reuse a block
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block_table.append(
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block_table[len(block_table) % self.block_sliding_window]
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)
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@@ -401,9 +401,9 @@ class ModelRunner:
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broadcast(input_metadata.block_tables, src=0)
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broadcast(sampling_metadata.selected_token_indices, src=0)
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else:
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receving_list = [None]
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broadcast_object_list(receving_list, src=0)
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py_data = receving_list[0]
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receiving_list = [None]
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broadcast_object_list(receiving_list, src=0)
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py_data = receiving_list[0]
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input_tokens = torch.empty(
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*py_data["input_tokens_size"], dtype=torch.long, device="cuda"
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)
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@@ -505,9 +505,9 @@ class ModelRunner:
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model_executable = self.model
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infer_text = sampling_metadata.seq_groups[0][1].infer_text
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temperture = sampling_metadata.seq_groups[0][1].temperature
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temperature = sampling_metadata.seq_groups[0][1].temperature
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if not infer_text:
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temperture = torch.tensor(temperture).to(input_tokens.device)
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temperature = torch.tensor(temperature).to(input_tokens.device)
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logits_processors, logits_warpers = sampling_metadata.seq_groups[0][
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1
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].logits_processors
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@@ -553,7 +553,7 @@ class ModelRunner:
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),
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hidden_states=hidden_states,
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infer_text=infer_text,
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temperature=temperture,
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temperature=temperature,
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logits_processors=logits_processors,
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logits_warpers=logits_warpers,
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min_new_token=min_new_token,
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@@ -107,14 +107,14 @@ class RequestOutput:
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# always has the logprobs of the sampled tokens even if the
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# logprobs are not requested.
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logprobs = None
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finshed_reason = SequenceStatus.get_finished_reason(seq.status)
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finished_reason = SequenceStatus.get_finished_reason(seq.status)
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output = CompletionOutput(
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seqs.index(seq),
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seq.output_text,
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seq.get_output_token_ids(),
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seq.get_cumulative_logprob(),
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logprobs,
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finshed_reason,
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finished_reason,
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seq.data.hidden_states,
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)
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outputs.append(output)
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@@ -128,7 +128,7 @@ class Scheduler:
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return len(self.waiting) + len(self.running) + len(self.swapped)
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def _schedule(self) -> SchedulerOutputs:
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# Blocks that need to be swaped or copied before model execution.
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# Blocks that need to be swapped or copied before model execution.
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blocks_to_swap_in: Dict[int, int] = {}
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blocks_to_swap_out: Dict[int, int] = {}
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blocks_to_copy: Dict[int, List[int]] = {}
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@@ -38,7 +38,7 @@ def select_device(min_memory=2047, experimental=False):
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"""
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if experimental:
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# For Apple M1/M2 chips with Metal Performance Shaders
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logger.get_logger().warning("experimantal: found apple GPU, using MPS.")
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logger.get_logger().warning("experimental: found apple GPU, using MPS.")
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device = torch.device("mps")
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else:
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logger.get_logger().info("found Apple GPU, but use CPU.")
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@@ -102,7 +102,7 @@ def reload_chat(coef: Optional[str]) -> str:
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chat.unload()
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gr.Info("Model unloaded.")
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if len(coef) != 230:
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gr.Warning("Ingore invalid DVAE coefficient.")
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gr.Warning("Ignore invalid DVAE coefficient.")
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coef = None
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try:
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global custom_path
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@@ -111,7 +111,7 @@ def reload_chat(coef: Optional[str]) -> str:
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raise gr.Error(str(e))
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if not ret:
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raise gr.Error("Unable to load model.")
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gr.Info("Reload succeess.")
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gr.Info("Reload success.")
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return chat.coef
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