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Changelog 0.1.0 (#74)
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Lisa authored Jan 10, 2024
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## (Unreleased) hipSPARSELt 0.2.0

### Added
### Additions

- Support Matrix B is a Structured Sparsity Matrix.
* Support Matrix B is a Structured Sparsity Matrix.

## (Unreleased) hipSPARSELt 0.1.0

### Added
### Additions

- Enable hipSPARSELt APIs
- Support platform: gfx940, gfx941, gfx942
- Support problem type: fp16, bf16, int8
- Support activation: relu, gelu, abs, sigmod, tanh
- Support gelu scaling
- Support bias vector
- Support batched computation (single sparse x multiple dense, multiple sparse x
* Enabled hipSPARSELt APIs
* Support for:
* gfx940, gfx941, and gfx942 platforms
* FP16, BF16, and INT8 problem types
* ReLU, GELU, abs, sigmod, and tanh activation
* GELU scaling
* Bias vectors
* cuSPARSELt v0.4 backend
* Integrated with Tensile Lite kernel generator
* Support for batched computation (single sparse x multiple dense and multiple sparse x
single dense)
- Support cuSPARSELt v0.4 backend
- Integreate with tensilelite kernel generator
- Add Gtest: hipsparselt-test
- Add benchmarking tool: hipsparselt-bench
- Add sample app: example_spmm_strided_batched, example_prune, example_compress
* GoogleTest: hipsparselt-test
* `hipsparselt-bench` benchmarking tool
* Sample apps: `example_spmm_strided_batched`, `example_prune`, `example_compress`

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