* Migrate to xtask-common crate
* Fix example crate name for simple-regression
* Refactor CI workflows
* Flatten linux workflows
* Install grcov and typos from binaries
Although xtask-common support auto-installation of these tools via cargo
it is a lot faster to install them via the distributed binaries
* [CI] Update Rust caches on failure
* [CI] Add shell bash to jobs steps
* [CI] Try cache all crates
* Fix no-std tests not executing
* [CI] Add CARGO_INCREMENTAL 0
* Exclude tch and cuda from tests and merge crates and examples steps
* Fix some typos found with typos cli
* Add Windows and MacOS jobs
* Only test no-std with default rust target
* Fix syntax in composite action setup-windows
* Enable incremental build
* Upate cargo alias for xtask
* Bump to github action checkout v4
* Revert to tch 0.15 and disable WGPU on windows
* Fix color in output
* Add Test command
* Test long output errorring
* Build and test workspace before additional builds and tests
* Disable wgpu tests on windows
* Remove tests- prefix in CI workflow jobs name
* Add Checks command
* Rename ci workflow jobs
* Execute windows and macos CI tests on rust stable only
* Rename integration test files with a test_ prefix
* Fix format
* Don't auto-correct "arange" with typos
* Fix typos in code
* Merge unit and integration tests steps
* Fix macos tests
* Fix coverage step
* Name publish-crate workflow
* Fix bad cache name for macos
* Reorganize commands and get rid of the ci command
* Fix dispatch to customized commands for Burn
* Update to last version of tracel-xtask
* Remove unnecessary shell bash in ci workflow
* Update cargo.lock
* Fix format
* Bump tracel-xtask
* Simplify dispatch of base commands using updated macro
* Update to last version of tracel-xtask
* Adapt legacy run_checks script with new xtask commands
* Run xtask in debug for faster compilation time
* Ditch build step in ci and enable coverage for stable linux only
* Freeze tracel-xtask to specific commit rev
* Update cargo.lock
* Update Step 6 of CONTRIBUTING guidelines about run-checks script
* Remove unneeded CI and CD paragraphgs in CONRIBUTING.md
* Change cache version
* Fix typos
* Use centralized actions and workflows
* Update to last version of tracel-xtask
* Update CONTRIBUTING file to mention integration tests
* Add custom build for thumbv6m-none-eabi
* Ignore onnx files for typos check
* Fix action and workflow paths in github workflows
* Fix custom builds on MacOS
* Bump tracel-xtask crate to last version
* Update Cargo.lock
* Update publish workflow to use reusable workflow in tracel repo
* Add --ci flag for build and test commands
* Made compatible with thumbv6m-none-eabi
* Added example of no_std on rp2040
* Added documentation on usage in no_std
* Rename rp2040 example and add README.md
* working version
* cleanup
* wip
* working version of gather
* testsetsetser
* Revert "testsetsetser"
This reverts commit f37b329697.
* Reapply "testsetsetser"
This reverts commit f8ada0044e.
* Revert "testsetsetser"
This reverts commit f37b329697.
* Revert "working version of gather"
This reverts commit f5047c27c8.
* Revert "wip"
This reverts commit abaaa2dd55.
* Revert "Merge branch 'main' into index-cpa-to-cubecl"
This reverts commit 05bed8ea74, reversing
changes made to 94954fc32c.
* Revert "cleanup"
This reverts commit 94954fc32c.
* Revert "working version"
This reverts commit a06933f029.
* gather test
* fix
* fix clippy
* cleanup
* renaming repeat to repeat_dim
* implementing repeat function
* renaming repeat files to repeat_dim
* renaming part 2
* renaming part 3
* renaming part 4
* renaming part 5
* adding test file
* adding unit test
* adding rust book documentation
* adding function args doc
* fixing tests
* changing repeat api to match pytorch equivalent
* fixing clippy error
* Add QuantizationBackend, QTensorOps and QTensor
* Refactor QTensorOps as part of Backend trait
* Add tensor dequantize, QFloat dtype and default affine/symmetric quant
* Add ndarray default quantization implementation
* Fix clippy
* Add rayon parallel iter
* Add quantization operations to book
* Add q_shape and q_device ops to avoid converting the tensor just to get attributes
* Implement autodiff grad ops
* Mark autodiff todo for QAT
* Remove note
* Add q_inner and q_from_inner
* Move distribution to module
* Add new TensorData with serialization support
* Implement display and from for TensorData
* Add missing Cargo.lock
* Add missing bytemuck feature
* Add zeros, ones, full and random TensorData methods
* Refactor Data -> TensorData usage
* Fix tests
Since TensorData is not generic over the element type anymore no type inference can be done by the compiler. We must explicitly cast the expected results to the expected backend type.
* Remove commented line
* Fix import
* Add record-backward-compat
* Remove dim const generic from TensorData
* Support NestedValue de/serialization with TensorData
* Fix burn-jit tests
* Remove eprinln
* Refactor onnx import to use TensorData
* Fix tch from_data
* Fix nested value serialization for u8
* Fix missing import
* Fix reduce min onnx test
* Fix deprecated attribute
* Remove shape getter
* Remove strict assert in tests
* Add tensor data as_bytes
* Add tensor check for rank mismatch
* Fix typo (dimensions plural)
* Fix error message
* Update book examples with from_data and fix Display impl for TensorData
* Add deprecation note
* #1747
Upgrade Rust dependencies
* Revert upgrade for tch
The update of tch on windows gives an error:
INTEL MKL ERROR: The specified module could not be found. mkl_vml_avx2.1.dll.
Intel MKL FATAL ERROR: cannot load mkl_vml_avx2.1.dll or mkl_vml_def.1.dll.
* Keep only .cargo/config.toml file which works with rust > 1.75
---------
Co-authored-by: Sylvain Benner <sylvain@benner.online>
* Add training report summary
* Fix LossMetric batch size state
* Add NumericEntry de/serialize
* Fix clippy suggestion
* Compact recorder does not use compression (anymore)
* Add learner summary expected results tests
* Add summary to learner builder and automatically display in fit
- Add LearnerSummaryConfig
- Keep track of summary metrics names
- Add model field when displaying from learner.fit()
* Add multilabel classification dataset
- Add MultiLabel annotation support
- Refactor de/serialize annotation with AnnotationRaw
- Add ImageFolderDataset::with_items methods
* Fix custom-image-classification example deps
* Add image_folder_dataset_multilabel test
* Do not change class names order when provided
* Add hamming score and multi-label classification output
* Add new_classification_with_items test
* Fix clippy suggestions
* Implement default trait for hamming score
* Remove de/serialization and use AnnotationRaw as type
* Fix clippy
* Fix metric backend phantom data
* refactor execute_dynamic into Execution
* minor change
* extension cfg
* jitkernel and sourcekernel
* add todo statement
* cleanup and docs
* update book
* fix server dependancy on compiler
* refactor into shader information
* refactor to compile shader once
* clippy
* clippy
* clippy
* fix doc
* fix doc
* fmt
* rename feature flag
* refactor
* All broked
* compile at the right time
* todo done
* all dynamic
* all dynamic in template too
* fmt
* fix ci
---------
Co-authored-by: nathaniel <nathaniel.simard.42@gmail.com>
Sylvain Benner