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Refactor autodecoders

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Summary: Refactors autodecoders. Tests pass.

Reviewed By: bottler

Differential Revision: D37592429

fbshipit-source-id: 8f5c9eac254e1fdf0704d5ec5f69eb42f6225113
This commit is contained in:
David Novotny
2022-07-04 07:18:03 -07:00
committed by Facebook GitHub Bot
parent ae35824f21
commit 0dce883241
10 changed files with 230 additions and 87 deletions
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16
projects/implicitron_trainer/tests/experiment.yaml
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@@ -16,6 +16,7 @@ generic_model_args:
n_train_target_views: 1
sampling_mode_training: mask_sample
sampling_mode_evaluation: full_grid
global_encoder_class_type: null
raysampler_class_type: AdaptiveRaySampler
renderer_class_type: MultiPassEmissionAbsorptionRenderer
image_feature_extractor_class_type: null
@@ -49,11 +50,16 @@ generic_model_args:
- objective
- epoch
- sec/it
sequence_autodecoder_args:
encoding_dim: 0
n_instances: 0
init_scale: 1.0
ignore_input: false
global_encoder_HarmonicTimeEncoder_args:
n_harmonic_functions: 10
append_input: true
time_divisor: 1.0
global_encoder_SequenceAutodecoder_args:
autodecoder_args:
encoding_dim: 0
n_instances: 0
init_scale: 1.0
ignore_input: false
raysampler_AdaptiveRaySampler_args:
image_width: 400
image_height: 400