mirror of https://github.com/tracel-ai/burn.git
cdd1fa1672
* 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 |
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| README.md | ||
README.md
The burn-no-std-tests contains integration tests aimed to check no_std compatibility of burn, burn-core, burn-tensor and burn-ndarray packages.
Currently there is only a minimal test that checks if mnist model can be built with no_std. More tests should be added to check completeness.
The continuous integration (CI) should build with additional targets:
wasm32-unknown-unknown- WebAssemblythumbv7m-none-eabi- ARM Cortex-M3
Shell commands to build and test the package:
# install the new targets if not installed previously
rustup target add thumbv7m-none-eabi
rustup target add wasm32-unknown-unknown
# build for various targets
cargo build # regular build
cargo build --target thumbv7m-none-eabi
cargo build --target wasm32-unknown-unknown
# test
cargo test