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Commit fad8b173 authored by sacardoz's avatar sacardoz
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fix

parent 89eb8bdd
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2 merge requests!21Major changes. convert nuplan devkit to handle occlusions for project,!8Shea multiagent rules
batch_size: 8
lr_scheduler: null
metrics:
- !!python/object:nuplan.planning.training.modeling.metrics.planning_metrics.AverageDisplacementError
_name: avg_displacement_error
- !!python/object:nuplan.planning.training.modeling.metrics.planning_metrics.AverageHeadingError
_name: avg_heading_error
- !!python/object:nuplan.planning.training.modeling.metrics.planning_metrics.FinalDisplacementError
_name: final_displacement_error
- !!python/object:nuplan.planning.training.modeling.metrics.planning_metrics.FinalHeadingError
_name: final_heading_error
objective_aggregate_mode: mean
objectives:
- !!python/object:nuplan.planning.training.modeling.objectives.imitation_objective.ImitationObjective
_fn_heading: !!python/object:torch.nn.modules.loss.L1Loss
_backward_hooks: !!python/object/apply:collections.OrderedDict
- []
_backward_pre_hooks: !!python/object/apply:collections.OrderedDict
- []
_buffers: !!python/object/apply:collections.OrderedDict
- []
_forward_hooks: !!python/object/apply:collections.OrderedDict
- []
_forward_hooks_with_kwargs: !!python/object/apply:collections.OrderedDict
- []
_forward_pre_hooks: !!python/object/apply:collections.OrderedDict
- []
_forward_pre_hooks_with_kwargs: !!python/object/apply:collections.OrderedDict
- []
_is_full_backward_hook: null
_load_state_dict_post_hooks: !!python/object/apply:collections.OrderedDict
- []
_load_state_dict_pre_hooks: !!python/object/apply:collections.OrderedDict
- []
_modules: !!python/object/apply:collections.OrderedDict
- []
_non_persistent_buffers_set: !!set {}
_parameters: !!python/object/apply:collections.OrderedDict
- []
_state_dict_hooks: !!python/object/apply:collections.OrderedDict
- []
_state_dict_pre_hooks: !!python/object/apply:collections.OrderedDict
- []
reduction: none
training: true
_fn_xy: !!python/object:torch.nn.modules.loss.MSELoss
_backward_hooks: !!python/object/apply:collections.OrderedDict
- []
_backward_pre_hooks: !!python/object/apply:collections.OrderedDict
- []
_buffers: !!python/object/apply:collections.OrderedDict
- []
_forward_hooks: !!python/object/apply:collections.OrderedDict
- []
_forward_hooks_with_kwargs: !!python/object/apply:collections.OrderedDict
- []
_forward_pre_hooks: !!python/object/apply:collections.OrderedDict
- []
_forward_pre_hooks_with_kwargs: !!python/object/apply:collections.OrderedDict
- []
_is_full_backward_hook: null
_load_state_dict_post_hooks: !!python/object/apply:collections.OrderedDict
- []
_load_state_dict_pre_hooks: !!python/object/apply:collections.OrderedDict
- []
_modules: !!python/object/apply:collections.OrderedDict
- []
_non_persistent_buffers_set: !!set {}
_parameters: !!python/object/apply:collections.OrderedDict
- []
_state_dict_hooks: !!python/object/apply:collections.OrderedDict
- []
_state_dict_pre_hooks: !!python/object/apply:collections.OrderedDict
- []
reduction: none
training: true
_name: imitation_objective
_scenario_type_loss_weighting:
unknown: 1.0
_weight: 1.0
optimizer:
_convert_: all
_target_: torch.optim.Adam
betas:
- 0.9
- 0.999
lr: 5.0e-05
weight_decay: 0.0005
warm_up_lr_scheduler: null
batch_size: 8
lr_scheduler: null
metrics:
- !!python/object:nuplan.planning.training.modeling.metrics.planning_metrics.AverageDisplacementError
_name: avg_displacement_error
- !!python/object:nuplan.planning.training.modeling.metrics.planning_metrics.AverageHeadingError
_name: avg_heading_error
- !!python/object:nuplan.planning.training.modeling.metrics.planning_metrics.FinalDisplacementError
_name: final_displacement_error
- !!python/object:nuplan.planning.training.modeling.metrics.planning_metrics.FinalHeadingError
_name: final_heading_error
objective_aggregate_mode: mean
objectives:
- !!python/object:nuplan.planning.training.modeling.objectives.imitation_objective.ImitationObjective
_fn_heading: !!python/object:torch.nn.modules.loss.L1Loss
_backward_hooks: !!python/object/apply:collections.OrderedDict
- []
_backward_pre_hooks: !!python/object/apply:collections.OrderedDict
- []
_buffers: !!python/object/apply:collections.OrderedDict
- []
_forward_hooks: !!python/object/apply:collections.OrderedDict
- []
_forward_hooks_with_kwargs: !!python/object/apply:collections.OrderedDict
- []
_forward_pre_hooks: !!python/object/apply:collections.OrderedDict
- []
_forward_pre_hooks_with_kwargs: !!python/object/apply:collections.OrderedDict
- []
_is_full_backward_hook: null
_load_state_dict_post_hooks: !!python/object/apply:collections.OrderedDict
- []
_load_state_dict_pre_hooks: !!python/object/apply:collections.OrderedDict
- []
_modules: !!python/object/apply:collections.OrderedDict
- []
_non_persistent_buffers_set: !!set {}
_parameters: !!python/object/apply:collections.OrderedDict
- []
_state_dict_hooks: !!python/object/apply:collections.OrderedDict
- []
_state_dict_pre_hooks: !!python/object/apply:collections.OrderedDict
- []
reduction: none
training: true
_fn_xy: !!python/object:torch.nn.modules.loss.MSELoss
_backward_hooks: !!python/object/apply:collections.OrderedDict
- []
_backward_pre_hooks: !!python/object/apply:collections.OrderedDict
- []
_buffers: !!python/object/apply:collections.OrderedDict
- []
_forward_hooks: !!python/object/apply:collections.OrderedDict
- []
_forward_hooks_with_kwargs: !!python/object/apply:collections.OrderedDict
- []
_forward_pre_hooks: !!python/object/apply:collections.OrderedDict
- []
_forward_pre_hooks_with_kwargs: !!python/object/apply:collections.OrderedDict
- []
_is_full_backward_hook: null
_load_state_dict_post_hooks: !!python/object/apply:collections.OrderedDict
- []
_load_state_dict_pre_hooks: !!python/object/apply:collections.OrderedDict
- []
_modules: !!python/object/apply:collections.OrderedDict
- []
_non_persistent_buffers_set: !!set {}
_parameters: !!python/object/apply:collections.OrderedDict
- []
_state_dict_hooks: !!python/object/apply:collections.OrderedDict
- []
_state_dict_pre_hooks: !!python/object/apply:collections.OrderedDict
- []
reduction: none
training: true
_name: imitation_objective
_scenario_type_loss_weighting:
unknown: 1.0
_weight: 1.0
optimizer:
_convert_: all
_target_: torch.optim.Adam
betas:
- 0.9
- 0.999
lr: 5.0e-05
weight_decay: 0.0005
warm_up_lr_scheduler: null
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