Updated release notes.

apivovarov · Feb 26, 2021 · abdf16a · abdf16a
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diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -4,14 +4,17 @@
 
 ## [2.5.0](https://github.com/NVIDIA/cutlass/releases/tag/v2.5.0) (2021-02-26)
   * Tensor reductions
-    * User-supplied reduction operations across one or more dimensions of tensors with affine layouts
-    * Optimizations for vectorized memory accesses
+    * _m_-to-_n_ reductions of tensors with affine layout
+    * [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)
-  * Fused inlined operations on Convolution input
-    * Vector broadcast and transformation on Convolution input
   * Optimizations for 3-D convolution
-    * Tile iterators using precomputed delta table for three spatial dimensions
-    * Performance parity with 2-D convolution implementation
+    * [Optimized tile iterators](include/cutlass/conv/threadblock/conv3d_fprop_activation_tile_access_iterator_optimized.h) using precomputed delta table for 3-D convolution
+    * 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)

diff --git a/README.md b/README.md
@@ -36,9 +36,9 @@ supported at each level of the execution model hierarchy.
 
 # What's New in CUTLASS 2.5
 CUTLASS 2.5 is a minor update to CUTLASS adding:
-- Tensor reductions
-- Fused inlined operations on Convolution input
-- Optimizations for 3-D convolution
+- [Tensor reductions](/test/unit/reduction/tensor_reduce_contiguous.cu)
+- [Optimizations for 3-D convolution](include/cutlass/conv/threadblock/conv3d_fprop_activation_tile_access_iterator_optimized.h)
+- [Fused Convolution+Convolution example](/examples/13_two_tensor_op_fusion/README.md)
 - See the [CHANGELOG](CHANGELOG.md) for more details
 
 # What's New in CUTLASS 2.4