implicitron v0 (#1133)

Co-authored-by: Jeremy Francis Reizenstein <bottler@users.noreply.github.com>

tests/implicitron/test_config_use.py

@@ -0,0 +1,81 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import os
+import unittest
+
+from omegaconf import OmegaConf
+from pytorch3d.implicitron.models.autodecoder import Autodecoder
+from pytorch3d.implicitron.models.base import GenericModel
+from pytorch3d.implicitron.models.implicit_function.idr_feature_field import (
+    IdrFeatureField,
+)
+from pytorch3d.implicitron.models.implicit_function.neural_radiance_field import (
+    NeuralRadianceFieldImplicitFunction,
+)
+from pytorch3d.implicitron.models.renderer.lstm_renderer import LSTMRenderer
+from pytorch3d.implicitron.models.renderer.multipass_ea import (
+    MultiPassEmissionAbsorptionRenderer,
+)
+from pytorch3d.implicitron.models.view_pooling.feature_aggregation import (
+    AngleWeightedIdentityFeatureAggregator,
+    AngleWeightedReductionFeatureAggregator,
+)
+from pytorch3d.implicitron.tools.config import (
+    get_default_args,
+    remove_unused_components,
+)
+
+
+if os.environ.get("FB_TEST", False):
+    from common_testing import get_tests_dir
+else:
+    from tests.common_testing import get_tests_dir
+
+DATA_DIR = get_tests_dir() / "implicitron/data"
+DEBUG: bool = False
+
+# Tests the use of the config system in implicitron
+
+
+class TestGenericModel(unittest.TestCase):
+    def setUp(self):
+        self.maxDiff = None
+
+    def test_create_gm(self):
+        args = get_default_args(GenericModel)
+        gm = GenericModel(**args)
+        self.assertIsInstance(gm.renderer, MultiPassEmissionAbsorptionRenderer)
+        self.assertIsInstance(
+            gm.feature_aggregator, AngleWeightedReductionFeatureAggregator
+        )
+        self.assertIsInstance(
+            gm._implicit_functions[0]._fn, NeuralRadianceFieldImplicitFunction
+        )
+        self.assertIsInstance(gm.sequence_autodecoder, Autodecoder)
+        self.assertFalse(hasattr(gm, "implicit_function"))
+        self.assertFalse(hasattr(gm, "image_feature_extractor"))
+
+    def test_create_gm_overrides(self):
+        args = get_default_args(GenericModel)
+        args.feature_aggregator_class_type = "AngleWeightedIdentityFeatureAggregator"
+        args.implicit_function_class_type = "IdrFeatureField"
+        args.renderer_class_type = "LSTMRenderer"
+        gm = GenericModel(**args)
+        self.assertIsInstance(gm.renderer, LSTMRenderer)
+        self.assertIsInstance(
+            gm.feature_aggregator, AngleWeightedIdentityFeatureAggregator
+        )
+        self.assertIsInstance(gm._implicit_functions[0]._fn, IdrFeatureField)
+        self.assertIsInstance(gm.sequence_autodecoder, Autodecoder)
+        self.assertFalse(hasattr(gm, "implicit_function"))
+
+        instance_args = OmegaConf.structured(gm)
+        remove_unused_components(instance_args)
+        yaml = OmegaConf.to_yaml(instance_args, sort_keys=False)
+        if DEBUG:
+            (DATA_DIR / "overrides.yaml_").write_text(yaml)
+        self.assertEqual(yaml, (DATA_DIR / "overrides.yaml").read_text())