Feat: add dataset #10
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WalkthroughWalkthroughThis update introduces new constants and refines module imports and class definitions across various files. The Changes
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Actionable comments posted: 0
Outside diff range and nitpick comments (1)
clip/tests/data/test_dataset.py (1)
16-23: The test for item retrieval checks the types and shapes of the returned tensors, which is good. However, the assertions for padding and the EOS token are specific and should be documented or explained in comments for clarity.Consider adding comments explaining the significance of the specific assertions, especially for padding and the EOS token.
Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Files ignored due to path filters (1)
clip/poetry.lockis excluded by!**/*.lock
Files selected for processing (8)
- clip/clip/constant.py (1 hunks)
- clip/clip/data/dataset.py (1 hunks)
- clip/clip/image/vit.py (1 hunks)
- clip/clip/languange/gpt.py (2 hunks)
- clip/clip/loss.py (1 hunks)
- clip/pyproject.toml (1 hunks)
- clip/tests/conftest.py (1 hunks)
- clip/tests/data/test_dataset.py (1 hunks)
Files not summarized due to errors (2)
- clip/clip/data/dataset.py: Error: Disallowed special token found: <|endoftext|>
- clip/tests/conftest.py: Error: Disallowed special token found: <|endoftext|>
Files skipped from review due to trivial changes (3)
- clip/clip/constant.py
- clip/clip/image/vit.py
- clip/pyproject.toml
Additional context used
Ruff
clip/clip/data/dataset.py
50-50: Unnecessary open mode parameters (UP015)
Remove open mode parameters
59-59: f-string without any placeholders (F541)
Remove extraneous
fprefix
Additional comments not posted (11)
clip/tests/data/test_dataset.py (3)
1-4: Imports are well-organized and adhere to PEP8 standards.
7-9: Thedatasetfixture is correctly defined using thepytest.fixturedecorator.
12-13: This test asserts that the dataset length is exactly 2. Ensure that this hardcoded value matches the expected number of items inmock_data.Verification successful
The
mock_datafunction creates two JSON entries, which matches the hardcoded value of 2 in the test assertion.
clip/tests/conftest.py:23-24: Two items are present injson_data.Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Check if the hardcoded dataset length matches the expected number from `mock_data`. # Test: Search for the `mock_data` definition and verify its length. rg --type python $'mock_data'Length of output: 59
Script:
#!/bin/bash # Locate the definition of `mock_data` in the codebase. rg 'mock_data'Length of output: 185
Script:
#!/bin/bash # Extract the definition of the `mock_data` function from `clip/tests/conftest.py`. ast-grep --lang python --pattern $'def mock_data():\n $$$' clip/tests/conftest.pyLength of output: 1972
clip/clip/loss.py (2)
7-10: The constructor now correctly initializesself.labelwith thedeviceparameter, ensuring tensor operations are performed on the correct device. This is a crucial change for performance optimization in environments with multiple computation devices.
14-14: The parameter order in theforwardmethod has been swapped. Ensure that all calls to this method reflect this change to avoid runtime errors.clip/clip/languange/gpt.py (6)
3-3: Updated imports to use the constants from the centralized location, improving modularity and maintainability.Also applies to: 6-6
15-15: UsingMAX_SEQ_LENGTHfromclip.constantas the default value forseq_lenenhances consistency across the project.
Line range hint
24-24: Constructor correctly initializes model components using theGPTConfig. Good use of Python'ssuper()for inheritance.
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35-35: Marking the end of sequence (EOS) in the forward method is crucial for handling sequences correctly in language models.
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63-63: Well-structured transformer block that follows the typical architecture of self-attention followed by a feed-forward network.
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79-79: Efficient implementation of the attention mechanism. The reshaping and transposing operations are correctly managed to facilitate the multi-head attention process.
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Actionable comments posted: 0
Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Files selected for processing (1)
- clip/tests/conftest.py (1 hunks)
Files not summarized due to errors (1)
- clip/tests/conftest.py: Error: Disallowed special token found: <|endoftext|>
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Summary by CodeRabbit
New Features
Refactor
GPTConfigclass to use the new constant.Improvements
CLIPLossclass initialization by adding adeviceparameter and reordered parameters in theforwardmethod.Dependencies
img2datasetandtorchvisiondependencies for enhanced functionality and support.Tests
CLIPDatasetclass to ensure data handling reliability.