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multimodalart HF Staff
MiniMax-H3 ref2va, the denoising half of the split deployment
9e3b8ca verified | # Copyright 2025 The Google and HuggingFace Teams. All rights reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| from __future__ import annotations | |
| from dataclasses import dataclass | |
| import torch | |
| from ...utils import BaseOutput | |
| class DiffusionGemmaPipelineOutput(BaseOutput): | |
| """ | |
| Output class for DiffusionGemma block-diffusion generation. | |
| Args: | |
| sequences (`torch.LongTensor` of shape `(batch_size, gen_length)`): | |
| The generated token IDs (the prompt is stripped off). | |
| texts (`list[str]`, *optional*): | |
| The decoded text, one string per sequence. Only set for `output_type="text"`. | |
| """ | |
| sequences: torch.LongTensor | |
| texts: list[str] | None = None | |