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Updated release notes.

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Andrew Kerr 2021-02-26 13:55:04 -05:00
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CHANGELOG.md
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## [2.5.0](https://github.com/NVIDIA/cutlass/releases/tag/v2.5.0) (2021-02-26) ## [2.5.0](https://github.com/NVIDIA/cutlass/releases/tag/v2.5.0) (2021-02-26)
* Tensor reductions * Tensor reductions
* User-supplied reduction operations across one or more dimensions of tensors with affine layouts * _m_-to-_n_ reductions of tensors with affine layout
* Optimizations for vectorized memory accesses * [Specializations](/test/unit/reduction/tensor_reduce_contiguous.cu) for reductions including contiguous dimension
* [Specializations](/test/unit/reduction/tensor_reduce_strided.cu) for reductions excluding contiguous dimension
* Custom reduction functors such as `cutlass::logical_and`
* Large tensor support, up to 2^63 elements (however, each dimension is limited to an extent of 2^31) * Large tensor support, up to 2^63 elements (however, each dimension is limited to an extent of 2^31)
* Fused inlined operations on Convolution input
* Vector broadcast and transformation on Convolution input
* Optimizations for 3-D convolution * Optimizations for 3-D convolution
* Tile iterators using precomputed delta table for three spatial dimensions * [Optimized tile iterators](include/cutlass/conv/threadblock/conv3d_fprop_activation_tile_access_iterator_optimized.h) using precomputed delta table for 3-D convolution
* Performance parity with 2-D convolution implementation * Full coverage of [forward](test/unit/conv/device/conv3d_fprop_implicit_gemm_f16ndhwc_f16ndhwc_f32ndhwc_tensor_op_f32_sm80.cu) and [backwards](test/unit/conv/device/conv3d_dgrad_implicit_gemm_f16ndhwc_f16ndhwc_f32ndhwc_tensor_op_f32_sm80.cu) passes for 3D convolution
* [Fused Convolution+Convolution example](/examples/13_two_tensor_op_fusion/README.md)
* Corrections and bug fixes reported by the CUTLASS community
* Thank you for filing these issues!
## [2.4.0](https://github.com/NVIDIA/cutlass/releases/tag/v2.4.0) (2020-11-19) ## [2.4.0](https://github.com/NVIDIA/cutlass/releases/tag/v2.4.0) (2020-11-19)

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# What's New in CUTLASS 2.5 # What's New in CUTLASS 2.5
CUTLASS 2.5 is a minor update to CUTLASS adding: CUTLASS 2.5 is a minor update to CUTLASS adding:
- Tensor reductions - [Tensor reductions](/test/unit/reduction/tensor_reduce_contiguous.cu)
- Fused inlined operations on Convolution input - [Optimizations for 3-D convolution](include/cutlass/conv/threadblock/conv3d_fprop_activation_tile_access_iterator_optimized.h)
- Optimizations for 3-D convolution - [Fused Convolution+Convolution example](/examples/13_two_tensor_op_fusion/README.md)
- See the [CHANGELOG](CHANGELOG.md) for more details - See the [CHANGELOG](CHANGELOG.md) for more details
# What's New in CUTLASS 2.4 # What's New in CUTLASS 2.4