Add pt compression doc #4299
Add pt compression doc #4299
Conversation
📝 Walkthrough📝 WalkthroughWalkthroughThe pull request updates the documentation in Changes
Possibly related PRs
Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media? 🪧 TipsChatThere are 3 ways to chat with CodeRabbit:
Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments. CodeRabbit Commands (Invoked using PR comments)
Other keywords and placeholders
CodeRabbit Configuration File (
|
![coderabbitai[bot]](https://avatars.githubusercontent.com/in/347564?s=60&v=4){kind=small}
There was a problem hiding this comment.
Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (1)
doc/freeze/compress.md (1)
85-85: Consider clarifying backend-specific parameter behaviorsThe parameter explanation section that follows might benefit from noting any differences in parameter behavior between TensorFlow and PyTorch backends, if any exist.
Would you like me to suggest specific additions to the parameter explanation section?
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (1)
doc/freeze/compress.md(2 hunks)
🔇 Additional comments (2)
doc/freeze/compress.md (2)
1-1: LGTM: Header updates correctly reflect PyTorch support
The changes appropriately add PyTorch support indicators while maintaining consistency with the existing TensorFlow format.
Also applies to: 4-4
67-84: LGTM: PyTorch instructions are well-structured and consistent
The PyTorch tab and compression command are properly formatted and follow the same pattern as the TensorFlow instructions.
Let's verify the command documentation is complete:
✅ Verification successful
Command documentation is complete and accurate
The documentation for the compression command is well-documented in doc/freeze/compress.md with:
- Detailed theory and implementation explanation
- Clear command syntax for both TensorFlow and PyTorch
- Comprehensive parameter explanations
- Supported model types and version requirements
- Performance impact and justification
The PyTorch command follows the same pattern as TensorFlow, using the correct .pt extension, and the documentation provides all necessary context for users.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Check if the compression command help includes PyTorch-specific information
dp compress --help | grep -B2 -A2 "\.pt"
Length of output: 112
Script:
#!/bin/bash
# Let's check the documentation for any mentions of compression commands
rg -A 3 -B 3 "dp compress" --type md
# Also search for any other compression-related documentation
rg -A 3 -B 3 "compress" --type md
# Look for any command line documentation files
fd -e md -e rst "cli|command|compress"
Length of output: 14979
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## devel #4299 +/- ##
==========================================
- Coverage 84.35% 84.34% -0.01%
==========================================
Files 559 559
Lines 52509 52509
Branches 3054 3054
==========================================
- Hits 44292 44291 -1
Misses 7260 7260
- Partials 957 958 +1 ☔ View full report in Codecov by Sentry. |
There was a problem hiding this comment.
Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (1)
doc/freeze/compress.md (1)
67-84: Consider adding PyTorch-specific information.The documentation would benefit from additional information about:
- Any PyTorch-specific version requirements or limitations
- Whether there are any differences in behavior or performance between TensorFlow and PyTorch implementations
- Any special considerations when compressing PyTorch models
Would you like me to help draft this additional documentation?
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (1)
doc/freeze/compress.md(2 hunks)
🔇 Additional comments (3)
doc/freeze/compress.md (3)
1-1: LGTM: Header and note section updated correctly.
The changes appropriately reflect the addition of PyTorch backend support, maintaining consistent icon usage and formatting.
Also applies to: 4-4
67-84: LGTM: Tab-set structure implemented correctly.
The tab-set structure is well-organized and follows the documentation standards, providing a clear separation between TensorFlow and PyTorch instructions.
79-81: LGTM: PyTorch command example is correct.
The command uses the correct .pth extension as per the project's conventions and maintains consistency with the TensorFlow example format.
2 participants
Summary by CodeRabbit
New Features
dp compress -i model.pth -o model-compress.pth.Documentation