mirror of
https://github.com/facebookresearch/pytorch3d.git
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a39cad40f4
Summary: Linear followed by exponential LR progression. Needed for making Blender scenes converge. Reviewed By: kjchalup Differential Revision: D38557007 fbshipit-source-id: ad630dbc5b8fabcb33eeb5bdeed5e4f31360bac2
49 lines
1.6 KiB
YAML
49 lines
1.6 KiB
YAML
defaults:
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- repro_singleseq_base
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- _self_
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exp_dir: "./data/nerf_blender_repro/${oc.env:BLENDER_SINGLESEQ_CLASS}"
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data_source_ImplicitronDataSource_args:
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data_loader_map_provider_SequenceDataLoaderMapProvider_args:
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dataset_length_train: 100
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dataset_map_provider_class_type: BlenderDatasetMapProvider
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dataset_map_provider_BlenderDatasetMapProvider_args:
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base_dir: ${oc.env:BLENDER_DATASET_ROOT}
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n_known_frames_for_test: null
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object_name: ${oc.env:BLENDER_SINGLESEQ_CLASS}
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path_manager_factory_class_type: PathManagerFactory
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path_manager_factory_PathManagerFactory_args:
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silence_logs: true
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model_factory_ImplicitronModelFactory_args:
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model_GenericModel_args:
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mask_images: false
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raysampler_class_type: NearFarRaySampler
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raysampler_NearFarRaySampler_args:
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n_rays_per_image_sampled_from_mask: 4096
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min_depth: 2
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max_depth: 6
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renderer_MultiPassEmissionAbsorptionRenderer_args:
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density_noise_std_train: 1.0
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n_pts_per_ray_fine_training: 128
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n_pts_per_ray_fine_evaluation: 128
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raymarcher_EmissionAbsorptionRaymarcher_args:
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blend_output: false
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loss_weights:
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loss_rgb_mse: 1.0
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loss_prev_stage_rgb_mse: 1.0
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loss_mask_bce: 0.0
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loss_prev_stage_mask_bce: 0.0
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loss_autodecoder_norm: 0.00
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optimizer_factory_ImplicitronOptimizerFactory_args:
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exponential_lr_step_size: 3001
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lr_policy: LinearExponential
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linear_exponential_lr_milestone: 200
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training_loop_ImplicitronTrainingLoop_args:
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max_epochs: 3201
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metric_print_interval: 10
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store_checkpoints_purge: 3
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test_when_finished: true
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validation_interval: 100
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