Only call load_to_tensor if load_prepare_inputs returns None by Copilot · Pull Request #682 · lincc-frameworks/hyrax

Copilot · 2026-02-06T19:29:03Z

Change Description

In _torch_load, both load_prepare_inputs and load_to_tensor were called unconditionally. When prepare_inputs.py exists, this triggers an unnecessary "to_tensor.py file not found" warning from load_to_tensor.

Solution Description

Guard load_to_tensor call with if/else:

prepare_inputs_fn = load_prepare_inputs(load_path.parent)

if prepare_inputs_fn:
    # Successfully loaded prepare_inputs.py
    self.prepare_inputs = staticmethod(prepare_inputs_fn)
else:
    # Fall back to loading to_tensor for backward compatibility
    to_tensor_fn = load_to_tensor(load_path.parent)
    if to_tensor_fn:
        # Handle to_tensor with deprecation warning
        self.prepare_inputs = staticmethod(to_tensor_fn)
    else:
        # Neither found, log warning

Added tests verifying:

load_to_tensor not called when prepare_inputs.py exists
Backward compatibility maintained when only to_tensor.py exists

Code Quality

I have read the Contribution Guide and agree to the Code of Conduct
My code follows the code style of this project
My code builds (or compiles) cleanly without any errors or warnings
My code contains relevant comments and necessary documentation

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Original prompt

This section details on the original issue you should resolve

<issue_title>Only call load_to_tensor if load_prepare_inputs returns None</issue_title>
<issue_description>In model_registry.py in the _torch_load function, we have some logic to load either a saved prepare_inputs function and/or a to_tensor function.

Currently we call both load_prepare_inputs and load_to_tensor. However, in the case where prepare_inputs exists, we shouldn't call load_to_tensor, because this will likely result in a warning message that is unnecessary.

There should be an if/else statement to guard calling load_to_tensor so it only runs in load_prepare_inputs returns None</issue_description>

Comments on the Issue (you are @copilot in this section)

Fixes Only call load_to_tensor if load_prepare_inputs returns None #681

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drewoldag

This looks correct to me.

codecov · 2026-02-06T22:17:30Z

Codecov Report

❌ Patch coverage is 85.71429% with 1 line in your changes missing coverage. Please review.
✅ Project coverage is 62.96%. Comparing base (a800e9c) to head (c4563cb).
⚠️ Report is 1 commits behind head on main.

Files with missing lines	Patch %	Lines
src/hyrax/models/model_registry.py	85.71%	1 Missing ⚠️

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #682   +/-   ##
=======================================
  Coverage   62.96%   62.96%           
=======================================
  Files          59       59           
  Lines        5730     5730           
=======================================
  Hits         3608     3608           
  Misses       2122     2122

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Copilot

Pull request overview

This PR updates Hyrax’s PyTorch model loading logic to avoid calling legacy load_to_tensor when a newer prepare_inputs.py is present, preventing unnecessary “to_tensor.py not found” warnings during model load.

Changes:

Updates _torch_load to call load_to_tensor only if load_prepare_inputs did not return a function.
Adds tests intended to verify load_to_tensor is skipped when prepare_inputs.py exists and exercised when it does not.

Reviewed changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated 4 comments.

File	Description
`src/hyrax/models/model_registry.py`	Adds an if/else guard so `load_to_tensor` is only invoked when `prepare_inputs` could not be loaded.
`tests/hyrax/test_plugin_utils.py`	Adds tests asserting log output to validate the guarded `load_to_tensor` behavior.

Copilot · 2026-02-06T22:17:39Z

+def test_torch_load_calls_to_tensor_when_prepare_inputs_missing(tmp_path, caplog):
+    """Test that load_to_tensor is called when load_prepare_inputs returns None.
+
+    This verifies backward compatibility - when prepare_inputs.py doesn't exist,
+    we should fall back to loading to_tensor.py.
+    """
+    import logging
+
+    import torch.nn as nn
+
+    from hyrax.models.model_registry import hyrax_model
+
+    # Create a simple model
+    @hyrax_model
+    class SimpleModelNoInputs(nn.Module):
+        def __init__(self, config, data_sample=None):
+            super().__init__()
+            self.config = config
+            self.linear = nn.Linear(10, 5)
+
+        def forward(self, x):
+            return self.linear(x)
+
+        def train_batch(self, batch):
+            return {"loss": 0.0}
+
+        def infer_batch(self, batch):
+            return {}
+
+    # Create config
+    config = {
+        "criterion": {"name": "torch.nn.MSELoss"},
+        "optimizer": {"name": "torch.optim.SGD"},
+        "torch.optim.SGD": {"lr": 0.01},
+    }
+
+    # Create and save a model (no prepare_inputs defined in class, so won't create prepare_inputs.py)
+    model = SimpleModelNoInputs(config)
+    weights_path = tmp_path / "test_weights.pth"
+    model.save(weights_path)
+
+    # Verify prepare_inputs.py was NOT created (model uses default)
+    # Note: The default prepare_inputs is not saved to a file
+
+    # Create a new model instance and load the weights
+    new_model = SimpleModelNoInputs(config)
+
+    # Clear the log before loading to ensure we only capture load warnings
+    caplog.clear()
+
+    with caplog.at_level(logging.WARNING):
+        new_model.load(weights_path)
+
+    # Verify that load_to_tensor WAS called (warning about to_tensor.py not found should appear)
+    assert "to_tensor.py file not found" in caplog.text
+


The docstring says this verifies backward compatibility by falling back to loading to_tensor.py, but the test never creates a to_tensor.py file (it only asserts the "file not found" warning). To actually test backward compatibility, write a to_tensor.py module into tmp_path (and ensure prepare_inputs.py is absent) and then assert that new_model.prepare_inputs behavior comes from to_tensor and the deprecation warning is emitted.

Copilot · 2026-02-06T22:17:40Z

+    # Create and save a model (no prepare_inputs defined in class, so won't create prepare_inputs.py)
+    model = SimpleModelNoInputs(config)
+    weights_path = tmp_path / "test_weights.pth"
+    model.save(weights_path)
+
+    # Verify prepare_inputs.py was NOT created (model uses default)
+    # Note: The default prepare_inputs is not saved to a file


These comments state that prepare_inputs.py was not created when the model uses the default input handler. However, model.save() currently always writes prepare_inputs.py (via save_prepare_inputs(self.prepare_inputs, ...)) even for the default implementation. Please update the comments (or explicitly delete prepare_inputs.py in the test setup) so the scenario under test matches the description.

Suggested change

# Create and save a model (no prepare_inputs defined in class, so won't create prepare_inputs.py)

model = SimpleModelNoInputs(config)

weights_path = tmp_path / "test_weights.pth"

model.save(weights_path)

# Verify prepare_inputs.py was NOT created (model uses default)

# Note: The default prepare_inputs is not saved to a file

# Create and save a model. The current implementation saves a default

# prepare_inputs.py even when no custom prepare_inputs is defined.

model = SimpleModelNoInputs(config)

weights_path = tmp_path / "test_weights.pth"

model.save(weights_path)

# For this test we want to simulate the legacy case where prepare_inputs.py

# is missing, so explicitly delete any such file under tmp_path.

for prep_path in tmp_path.rglob("prepare_inputs.py"):

prep_path.unlink()

Copilot · 2026-02-06T22:17:40Z

+    This verifies the fix for the issue where load_to_tensor would generate unnecessary
+    warnings even when prepare_inputs.py existed.
+    """
+    import logging


This import of module logging is redundant, as it was previously imported on line 1.

Suggested change

import logging

Copilot · 2026-02-06T22:17:40Z

+    This verifies backward compatibility - when prepare_inputs.py doesn't exist,
+    we should fall back to loading to_tensor.py.
+    """
+    import logging


This import of module logging is redundant, as it was previously imported on line 1.

Suggested change

import logging

gitosaurus

LGTM!

Initial plan

4bf4efb

Copilot AI assigned Copilot and drewoldag Feb 6, 2026

Copilot started work on behalf of drewoldag February 6, 2026 19:29 View session

Fix unnecessary load_to_tensor warning when prepare_inputs exists

c4563cb

Copilot AI changed the title ~~[WIP] Fix load_to_tensor call based on load_prepare_inputs return~~ Only call load_to_tensor if load_prepare_inputs returns None Feb 6, 2026

Copilot AI requested a review from drewoldag February 6, 2026 19:48

Copilot finished work on behalf of drewoldag February 6, 2026 19:48

drewoldag marked this pull request as ready for review February 6, 2026 22:12

drewoldag requested review from a team and Copilot February 6, 2026 22:12

drewoldag approved these changes Feb 6, 2026

View reviewed changes

Copilot started reviewing on behalf of drewoldag February 6, 2026 22:12 View session

drewoldag requested a review from gitosaurus February 6, 2026 22:12

Copilot AI reviewed Feb 6, 2026

View reviewed changes

gitosaurus approved these changes Feb 6, 2026

View reviewed changes

drewoldag merged commit eaa94bc into main Feb 6, 2026
15 checks passed

drewoldag deleted the copilot/fix-load-to-tensor-call branch February 6, 2026 22:24

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Only call load_to_tensor if load_prepare_inputs returns None#682

Only call load_to_tensor if load_prepare_inputs returns None#682
drewoldag merged 2 commits intomainfrom
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