Spaces:
Build error
Build error
File size: 2,856 Bytes
b6af722 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 |
# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# 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 dataclasses import dataclass
from typing import Dict, Optional
import attrs
import torch
from hydra.core.config_store import ConfigStore
from cosmos_predict1.diffusion.conditioner import VideoExtendCondition, VideoExtendConditioner
from cosmos_predict1.diffusion.config.base.conditioner import (
FPSConfig,
ImageSizeConfig,
NumFramesConfig,
PaddingMaskConfig,
ReMapkey,
TextConfig,
VideoCondBoolConfig,
)
from cosmos_predict1.diffusion.training.config.video2world_action.experiment import register_experiments
from cosmos_predict1.utils.lazy_config import LazyCall as L
from cosmos_predict1.utils.lazy_config import LazyDict
@dataclass
class ActionConditionalVideoExtendCondition(VideoExtendCondition):
action: Optional[torch.Tensor] = None
class ActionConditionalVideoExtendConditioner(VideoExtendConditioner):
def forward(
self,
batch: Dict,
override_dropout_rate: Optional[Dict[str, float]] = None,
) -> ActionConditionalVideoExtendCondition:
output = super()._forward(batch, override_dropout_rate)
assert "action" in batch, "ActionConditionalVideoExtendConditioner requires 'action' in batch"
output["action"] = batch["action"]
return ActionConditionalVideoExtendCondition(**output)
@attrs.define(slots=False)
class ActionConfig:
"""
Remap the key from the input dictionary to the output dictionary. For `action`.
"""
obj: LazyDict = L(ReMapkey)(output_key="action", dtype=None)
dropout_rate: float = 0.0
input_key: str = "action"
ActionConditionalVideoExtendConditionerConfig: LazyDict = L(ActionConditionalVideoExtendConditioner)(
text=TextConfig(),
fps=FPSConfig(),
num_frames=NumFramesConfig(),
image_size=ImageSizeConfig(),
padding_mask=PaddingMaskConfig(),
video_cond_bool=VideoCondBoolConfig(),
action=ActionConfig(),
)
def register_configs():
cs = ConfigStore.instance()
register_experiments(cs)
cs.store(
group="conditioner",
package="model.conditioner",
name="action_conditional_video_cond",
node=ActionConditionalVideoExtendConditionerConfig,
)
|