[Requirements] Bump Tensorflow to 2.7.0 and Horovod to 0.23.0 (#1603)

Makefile

@@ -43,8 +43,8 @@ MLRUN_GIT_ORG ?= mlrun
 MLRUN_RELEASE_BRANCH ?= master
 MLRUN_SYSTEM_TESTS_CLEAN_RESOURCES ?= true
 MLRUN_CUDA_VERSION = 11.0
-MLRUN_TENSORFLOW_VERSION = 2.4.1
-MLRUN_HOROVOD_VERSION = 0.22.1
+MLRUN_TENSORFLOW_VERSION = 2.7.0
+MLRUN_HOROVOD_VERSION = 0.23.0
 
 
 MLRUN_DOCKER_IMAGE_PREFIX := $(if $(MLRUN_DOCKER_REGISTRY),$(strip $(MLRUN_DOCKER_REGISTRY))$(MLRUN_DOCKER_REPO),$(MLRUN_DOCKER_REPO))

dockerfiles/models-gpu/Dockerfile

@@ -61,7 +61,7 @@ RUN conda install -n base -c rapidsai -c nvidia -c conda-forge rapids=21.06 pyth
 RUN conda install -n base pytorch::pytorch==1.7.0 pytorch::torchvision==0.8.0 \
     && conda clean -aqy
 
-ARG TENSORFLOW_VERSION=2.4.1
+ARG TENSORFLOW_VERSION=2.7.0
 RUN python -m pip install tensorflow~=${TENSORFLOW_VERSION}
 
 ARG OMPI=4.1.0
@@ -81,7 +81,7 @@ RUN mkdir /tmp/openmpi && \
 ENV OMPI_ALLOW_RUN_AS_ROOT=1
 ENV OMPI_ALLOW_RUN_AS_ROOT_CONFIRM=1
 
-ARG HOROVOD_VERSION=0.22.1
+ARG HOROVOD_VERSION=0.23.0
 # TODO: MAKEFLAGS="-j1" work around some transient concurrency problem with installing horovod remove it when
     #   possible (should be safe to remove if it works ~5 times without it)
 RUN ldconfig /usr/local/cuda-11.0/targets/x86_64-linux/lib/stubs && \

dockerfiles/models/Dockerfile

@@ -23,11 +23,10 @@ ENV OMPI_ALLOW_RUN_AS_ROOT_CONFIRM=1
 RUN python -m pip install torch==1.7.0+cpu torchvision==0.8.1+cpu \
     -f https://download.pytorch.org/whl/torch_stable.html
 
-ARG TENSORFLOW_VERSION=2.4.1
-# Not using intel-tensorflow (unlike py36 image) cause they have only 2.4.0 and we need 2.4.1
-RUN python -m pip install -U tensorflow~=${TENSORFLOW_VERSION} mxnet
+ARG TENSORFLOW_VERSION=2.7.0
+RUN python -m pip install -U intel-tensorflow~=${TENSORFLOW_VERSION} mxnet
 
-ARG HOROVOD_VERSION=0.22.1
+ARG HOROVOD_VERSION=0.23.0
 RUN HOROVOD_WITH_TENSORFLOW=1 HOROVOD_WITH_PYTORCH=1 \
     python -m pip install horovod~=${HOROVOD_VERSION}