Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Apache MXNet (incubating) 1.9.1 is a maintenance release incorporating important bug fixes and performance improvements. All users of Apache MXNet (incubating) 1.9.0 are advised to upgrade. You can install Apache MXNet (incubating) 1.9.1 at the usual place. Please review these Release Notes to learn the bug fixes.
Upgrade numpy to <1.20.0 to avoid security vulnerabilities affecting numpy<1.19.1 (#20940)
quantized elemwise mul changed out type to float (#20926)
Avoid modifying loaded library map while iterating in lib_close() (#20941) (#20944)
Fixed issue with batchnorm on even number of channels (#20927)
Assign attributes of transformer operators (#20902)
Fix reuse of primitives for MKLDNN-AArch64. Fixes #20265. (#20482) (#20921)
identity fuse (#20884)
Fix the regular expression in RTC code (#20810) (#20840)
Port changes from master to make CPP package properly build when large tensor support is enabled. (#20768) (#20841)
Port #20759 from v1.x (#20815)
Port BRGEMM (#20910)
Port #20889 from v1.x (#20923)
Apache MXNet (incubating) 1.9.1 is a maintenance release incorporating important bug fixes and performance improvements. All users of Apache MXNet (incubating) 1.9.0 are advised to upgrade. You can install Apache MXNet (incubating) 1.9.1 at the usual place. Please review these Release Notes to learn the bug fixes.
Upgrade numpy to <1.20.0 to avoid security vulnerabilities affecting numpy<1.19.1 (#20940)
quantized elemwise mul changed out type to float (#20926)
Avoid modifying loaded library map while iterating in lib_close() (#20941) (#20944)
Fixed issue with batchnorm on even number of channels (#20927)
Assign attributes of transformer operators (#20902)
Fix reuse of primitives for MKLDNN-AArch64. Fixes #20265. (#20482) (#20921)
identity fuse (#20884)
Fix the regular expression in RTC code (#20810) (#20840)
Port changes from master to make CPP package properly build when large tensor support is enabled. (#20768) (#20841)
Port #20759 from v1.x (#20815)
Port BRGEMM (#20910)
Port #20889 from v1.x (#20923)