diff --git a/keras/meta.yaml b/keras/meta.yaml
index ac296a3..ec6a688 100644
--- a/keras/meta.yaml
+++ b/keras/meta.yaml
@@ -1,5 +1,5 @@
 {% set name = "keras" %}
-{% set version = "2.9.0" %}
+{% set version = "2.10.0" %}
 {% set major_minor = version.rsplit('.', 1)[0] %}
 
 package:
@@ -8,7 +8,7 @@ package:
 
 source:
   - url: https://pypi.io/packages/py2.py3/k/keras/keras-{{ version }}-py2.py3-none-any.whl
-    sha256: 55911256f89cfc9343c9fbe4b61ec45a2d33d89729cbe1ab9dcacf8b07b8b6ab
+    sha256: 26a6e2c2522e7468ddea22710a99b3290493768fc08a39e75d1173a0e3452fdf
   - url: https://raw.githubusercontent.com/keras-team/keras/v{{ version }}/LICENSE
     sha256: 58d1e17ffe5109a7ae296caafcadfdbe6a7d176f0bc4ab01e12a689b0499d8bd
 
@@ -25,8 +25,6 @@ requirements:
     - wheel
   run:
     - python
-    - pyyaml
-    - scipy 1.7.3
     - keras-preprocessing  >=1.1.2
   run_constrained:
     # Other dependencies (such as h5py, numpy, ...) in their correct versions
diff --git a/tensorboard/meta.yaml b/tensorboard/meta.yaml
index 1a4a6e2..5bf8e0c 100644
--- a/tensorboard/meta.yaml
+++ b/tensorboard/meta.yaml
@@ -1,5 +1,5 @@
 {% set name = "tensorboard" %}
-{% set version = "2.9.0" %}
+{% set version = "2.10.0" %}
 
 package:
   name: {{ name|lower }}
@@ -7,7 +7,7 @@ package:
 
 source:
   url: https://pypi.io/packages/py3/t/tensorboard/tensorboard-{{ version }}-py3-none-any.whl
-  sha256: bd78211076dca5efa27260afacfaa96cd05c7db12a6c09cc76a1d6b2987ca621
+  sha256: 76c91a5e8959cd2208cc32cb17a0cb002badabb66a06ac2af02a7810f49a59e3
 
 build:
   number: 0
diff --git a/tensorflow-base-cpu-gpu-linwin/build.sh b/tensorflow-base-cpu-gpu-linwin/build.sh
index 8870326..24b64dd 100755
--- a/tensorflow-base-cpu-gpu-linwin/build.sh
+++ b/tensorflow-base-cpu-gpu-linwin/build.sh
@@ -134,10 +134,8 @@ bazel build ${BAZEL_MKL_OPT} ${BAZEL_CUDA_OPT} ${BAZEL_OPT_FLAG} \
     --copt=-fPIC \
     --copt=-fstack-protector-strong \
     --copt=-O2 \
-    --copt=-DNO_CONSTEXPR_FOR_YOU=1 \
     --cxxopt=-fvisibility-inlines-hidden \
     --cxxopt=-fmessage-length=0 \
-    --host_copt=-DNO_CONSTEXPR_FOR_YOU=1 \
     --linkopt=-zrelro \
     --linkopt=-znow \
     --linkopt="-L${PREFIX}/lib" \
diff --git a/tensorflow-base-cpu-gpu-linwin/conda_build_config.yaml b/tensorflow-base-cpu-gpu-linwin/conda_build_config.yaml
index 7be0cab..f6d67b6 100644
--- a/tensorflow-base-cpu-gpu-linwin/conda_build_config.yaml
+++ b/tensorflow-base-cpu-gpu-linwin/conda_build_config.yaml
@@ -1,11 +1,15 @@
-cxx_compiler:  # [win]
-  - vs2019     # [win]
-c_compiler:    # [win]
-  - vs2019     # [win]
+cxx_compiler:           # [win]
+  - vs2019              # [win]
+c_compiler:             # [win]
+  - vs2019              # [win]
+cxx_compiler_version:   # [linux64]
+  - 9.3.0               # [linux64]
+c_compiler_version:     # [linux64]
+  - 9.3.0               # [linux64]
 tflow_variant:
   - mkl
   - eigen
-  - gpu
+  - gpu                 # [linux64 or win]
 cudatoolkit:
   - 11.3
 cudnn:
diff --git a/tensorflow-base-cpu-gpu-linwin/def_bazelrc b/tensorflow-base-cpu-gpu-linwin/def_bazelrc
index e179805..2987fd5 100644
--- a/tensorflow-base-cpu-gpu-linwin/def_bazelrc
+++ b/tensorflow-base-cpu-gpu-linwin/def_bazelrc
@@ -127,8 +127,8 @@ build:windows --copt=/W0
 build:windows --copt=/D_USE_MATH_DEFINES
 build:windows --host_copt=/D_USE_MATH_DEFINES
 
-build:windows --cxxopt=/std:c++14
-build:windows --host_cxxopt=/std:c++14
+build:windows --cxxopt=/std:c++17
+build:windows --host_cxxopt=/std:c++17
 
 # On windows, we still link everything into a single DLL.
 build:windows --config=monolithic
@@ -159,6 +159,9 @@ build:windows --verbose_failures
 # On windows, we never cross compile
 build:windows --distinct_host_configuration=false
 
+# This is needed because otherwise abseil has trouble compiling
+build:windows --copt=/Zc:__cplusplus
+
 # Configure short or long logs
 build:short_logs --output_filter=DONT_MATCH_ANYTHING
 build:verbose_logs --output_filter=
diff --git a/tensorflow-base-cpu-gpu-linwin/meta.yaml b/tensorflow-base-cpu-gpu-linwin/meta.yaml
index 5b17632..457eb50 100644
--- a/tensorflow-base-cpu-gpu-linwin/meta.yaml
+++ b/tensorflow-base-cpu-gpu-linwin/meta.yaml
@@ -1,4 +1,4 @@
-{% set version = "2.9.1" %}
+{% set version = "2.10.0" %}
 {% set major_minor = version.rsplit('.', 1)[0] %}
 
 # This is the recipe for the "mkl", "eigen" and "gpu" variants of tensorflow-base
@@ -9,7 +9,7 @@ package:
 source:
   fn: tensorflow-{{ version }}.tar.gz
   url: https://github.com/tensorflow/tensorflow/archive/v{{ version }}.tar.gz
-  sha256: 6eaf86ead73e23988fe192da1db68f4d3828bcdd0f3a9dc195935e339c95dbdc
+  sha256: b5a1bb04c84b6fe1538377e5a1f649bb5d5f0b2e3625a3c526ff3a8af88633e8
   patches:
     - patches/0101-include-c-and-cc-headers.patch                   # [unix]
     - patches/0103-BUILD-changes-for-external-sqlite-package.patch  # [linux]
@@ -19,9 +19,10 @@ source:
     - patches/0202-Remove-extra-null-terminators.patch              # [linux and (tflow_variant == 'gpu')]
 
 build:
-  number: 1
+  number: 0
   skip: True  # [not x86_64 and not (linux and aarch64)]
   skip: True  # [win and vc<14]
+  skip: True  # [py<37]
   string: {{ tflow_variant }}_py{{ CONDA_PY }}h{{PKG_HASH}}_{{ PKG_BUILDNUM }}
   entry_points:
     - toco_from_protos = tensorflow.lite.toco.python.toco_from_protos:main
@@ -73,7 +74,7 @@ requirements:
     - dill >=0.3.1.1
     - giflib
     - grpc-cpp
-    - flatbuffers >=1.12
+    - flatbuffers 2.0
     - icu
     - jpeg
     - libpng
@@ -83,12 +84,11 @@ requirements:
     - sqlite
     - snappy
     - zlib
-    - abseil-cpp
-    - absl-py 0.10  # [py<39]
-    - absl-py 0.11  # [py>=39]
+    - requests
+    - absl-py 1.3.0
     - astunparse 1.6.3
-    - python-flatbuffers
-    - gast >=0.2.1
+    - python-flatbuffers 2.0
+    - gast 0.4.0
     - google-pasta >=0.1.1
     - grpcio >=1.24.3,<2.0
     - h5py >=2.9.0
@@ -118,18 +118,19 @@ requirements:
     - numpy >=1.20,<2
     - scipy >=1.7.3,<2
     - packaging
-    - absl-py >=0.10.0
+    - absl-py >=1.0.0
     - astunparse >=1.6.3
-    - flatbuffers >=1.12
-    - gast >=0.2.1
+    - flatbuffers >=2.0
+    - gast 0.4.0
     - google-pasta >=0.1.1
     - grpcio >=1.24.3,<2.0
     - h5py >=2.9.0
     - keras {{ major_minor }}.*
     - opt_einsum >=2.3.2
     - python
-    - python-flatbuffers
+    - python-flatbuffers >=2.0
     - setuptools
+    - requests
     - six >=1.12.0
     - tensorboard {{ major_minor }}.*
     - tensorflow-estimator {{ major_minor }}.*
@@ -165,8 +166,8 @@ about:
     provides you with complete programming control.
     Base package contains only tensorflow, not tensorflow-tensorboard.
   dev_url: https://github.com/tensorflow/tensorflow
-  doc_url: https://www.tensorflow.org/get_started/get_started
-  doc_source_url: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/docs_src
+  doc_url: https://www.tensorflow.org/api_docs
+  doc_source_url: https://github.com/tensorflow/docs/
 
 extra:
   tflow_variant: {{ tflow_variant }}
diff --git a/tensorflow-base-cpu-gpu-linwin/patches/0202-Remove-extra-null-terminators.patch b/tensorflow-base-cpu-gpu-linwin/patches/0202-Remove-extra-null-terminators.patch
index 511e65c..b549ede 100644
--- a/tensorflow-base-cpu-gpu-linwin/patches/0202-Remove-extra-null-terminators.patch
+++ b/tensorflow-base-cpu-gpu-linwin/patches/0202-Remove-extra-null-terminators.patch
@@ -17,23 +17,23 @@ diff --git a/tensorflow/core/platform/default/cuda_libdevice_path.cc b/tensorflo
 index 25eb6ab463..44522e5528 100644
 --- a/tensorflow/core/platform/default/cuda_libdevice_path.cc
 +++ b/tensorflow/core/platform/default/cuda_libdevice_path.cc
-@@ -27,7 +27,16 @@ namespace tensorflow {
+@@ -27,8 +27,15 @@
 
  std::vector<string> CandidateCudaRoots() {
-   VLOG(3) << "CUDA root = " << TF_CUDA_TOOLKIT_PATH;
+ #if !defined(PLATFORM_GOOGLE)
+-  VLOG(3) << "CUDA root = " << TF_CUDA_TOOLKIT_PATH;
 -  return {TF_CUDA_TOOLKIT_PATH, string("/usr/local/cuda")};
-+
-+/* WML-CE Issue #11827 - TF_CUDA_TOOLKIT_PATH will be stored as an
-+absolute path during the bazel build. Conda uses build paths that are
-+256 characters long. During conda install, it will replace the build path
-+with the shorter install path and append null terminators to keep the
-+binary file the same size. We need to use c_str() to remove the extra
-+null terminators.
-+*/
++  /* WML-CE Issue #11827 - TF_CUDA_TOOLKIT_PATH will be stored as an
++  absolute path during the bazel build. Conda uses build paths that are
++  256 characters long. During conda install, it will replace the build path
++  with the shorter install path and append null terminators to keep the
++  binary file the same size. We need to use c_str() to remove the extra
++  null terminators.
++  */
 +  string cuda_toolkit_path = TF_CUDA_TOOLKIT_PATH;
 +  return {cuda_toolkit_path.c_str(), string("/usr/local/cuda")};
- }
-
- }  // namespace tensorflow
+ #else
+   return {string("/usr/local/cuda")};
+ #endif
 --
 2.20.1
diff --git a/tensorflow-base-cpu-gpu-linwin/win_helper_cpu_gpu.sh b/tensorflow-base-cpu-gpu-linwin/win_helper_cpu_gpu.sh
index 4869238..afbc5ca 100755
--- a/tensorflow-base-cpu-gpu-linwin/win_helper_cpu_gpu.sh
+++ b/tensorflow-base-cpu-gpu-linwin/win_helper_cpu_gpu.sh
@@ -130,13 +130,12 @@ ${LIBRARY_BIN}/bazel build ${BAZEL_MKL_OPT} ${BAZEL_CUDA_OPT} \
     --host_copt=-D_copysign="copysign" \
     --cxxopt=-D_copysign="copysign" \
     --host_cxxopt=-D_copysign="copysign" \
-    --copt=-DNO_CONSTEXPR_FOR_YOU=1 \
-    --host_copt=-DNO_CONSTEXPR_FOR_YOU=1 \
     --python_path="${PYTHON}" \
     --action_env="PYTHON_BIN_PATH=${PYTHON}" \
     --action_env="PYTHON_LIB_PATH=${SP_DIR}" \
     --linkopt="-L$LIBRARY_PREFIX" \
     --strip=always \
+    --experimental_cc_shared_library \
     //tensorflow/tools/pip_package:build_pip_package
 
 PY_TEST_DIR="${SRC_DIR}/py_test_dir"
diff --git a/tensorflow-base-cpu-osx/0004-loosen-requirements.patch b/tensorflow-base-cpu-osx/0004-loosen-requirements.patch
deleted file mode 100644
index cd02091..0000000
--- a/tensorflow-base-cpu-osx/0004-loosen-requirements.patch
+++ /dev/null
@@ -1,44 +0,0 @@
-Index: work/tensorflow/tools/pip_package/setup.py
-===================================================================
---- work.orig/tensorflow/tools/pip_package/setup.py
-+++ work/tensorflow/tools/pip_package/setup.py
-@@ -78,21 +78,21 @@ REQUIRED_PACKAGES = [
-     # NOTE: As numpy has releases that break semver guarantees and several other
-     # deps depend on numpy without an upper bound, we must install numpy before
-     # everything else.
--    'numpy ~= 1.19.2',
-+    'numpy >= 1.19',
-     # Install other dependencies
-     'absl-py ~= 0.10',
-     'astunparse ~= 1.6.3',
--    'flatbuffers ~= 1.12.0',
-+    'flatbuffers ~= 1.12',
-     'google_pasta ~= 0.2',
--    'h5py ~= 3.1.0',
--    'keras_preprocessing ~= 1.1.2',
-+    'h5py >= 3.1.0',
-+    'keras_preprocessing >= 1.1.2',
-     'opt_einsum ~= 3.3.0',
-     'protobuf >= 3.9.2',
--    'six ~= 1.15.0',
--    'termcolor ~= 1.1.0',
--    'typing_extensions ~= 3.7.4',
--    'wheel ~= 0.35',
--    'wrapt ~= 1.12.1',
-+    'six >= 1.15.0',
-+    'termcolor >= 1.1.0',
-+    'typing_extensions >= 3.7.4',
-+    'wheel >= 0.35',
-+    'wrapt >= 1.11.2',
-     # These packages need to be pinned exactly as newer versions are
-     # incompatible with the rest of the ecosystem
-     'gast == 0.4.0',
-@@ -104,7 +104,7 @@ REQUIRED_PACKAGES = [
-     'tensorflow-estimator >= 2.5.0rc0 , < 2.6.0',
-     # TODO(scottzhu): OSS keras hasn't been formally released yet.
-     # Use keras-nightly at the moment.
--    'keras-nightly ~= 2.5.0.dev',
-+    'keras >= 2.4.0',
- ]
- 
- 
diff --git a/tensorflow-base-cpu-osx/0108-fix-absl-stuff.patch b/tensorflow-base-cpu-osx/0108-fix-absl-stuff.patch
deleted file mode 100644
index 30fcd31..0000000
--- a/tensorflow-base-cpu-osx/0108-fix-absl-stuff.patch
+++ /dev/null
@@ -1,82 +0,0 @@
-From bc4521dd193290f86bd5de8a56cefbcbfeae3213 Mon Sep 17 00:00:00 2001
-From: David Majnemer <majnemer@google.com>
-Date: Fri, 24 Jun 2022 15:34:08 -0700
-Subject: [PATCH] [XLA] Try to fix #56430
-
-Let's use ABSL_ASSERT instead of using fancy compiler features which may be broken for some versions of Clang.
-
-PiperOrigin-RevId: 457106690
----
- tensorflow/compiler/xla/util.h | 48 +++++-----------------------------
- 1 file changed, 7 insertions(+), 41 deletions(-)
-
-diff --git a/tensorflow/compiler/xla/util.h b/tensorflow/compiler/xla/util.h
-index 205aae16b09a6..a570174bf5fb9 100644
---- a/tensorflow/compiler/xla/util.h
-+++ b/tensorflow/compiler/xla/util.h
-@@ -418,44 +418,13 @@ std::string HumanReadableNumTranscendentalOps(double trops, double nanoseconds);
- // severity, filename, and line number.
- void LogLines(int sev, absl::string_view text, const char* fname, int lineno);
- 
--// Used on a function to trap bad calls: any call that matches the specified
--// condition will cause a compile-time error. This macro uses a clang-specific
--// "diagnose_if" attribute, as described at
--// https://clang.llvm.org/docs/AttributeReference.html#diagnose-if
--//
--// Example:
--//
--//   int compute_absolute_value(int c)
--//     XLA_DIAGNOSE_ERROR_IF(c >= 0, "'c' is already positive.");
--#if ABSL_HAVE_ATTRIBUTE(diagnose_if)
--#define XLA_DIAGNOSE_ERROR_IF(...) \
--  __attribute__((diagnose_if(__VA_ARGS__, "error")))
--#else
--#define XLA_DIAGNOSE_ERROR_IF(...)
--#endif
--
--constexpr bool IsRuntimeEvaluated() {
--#ifdef __cpp_lib_is_constant_evaluated
--  return !std::is_constant_evaluated();
--#elif ABSL_HAVE_BUILTIN(__builtin_is_constant_evaluated)
--  return !__builtin_is_constant_evaluated();
--#else
--  return false;
--#endif
--}
--
- // Returns a mask with "width" number of least significant bits set.
- template <typename T>
--constexpr inline T LsbMask(int width)
--    XLA_DIAGNOSE_ERROR_IF(width < 0 || width >= std::numeric_limits<T>::digits,
--                          "width must be between [0, sizeof(T)*8)") {
-+constexpr inline T LsbMask(int width) {
-   static_assert(std::is_unsigned<T>::value,
-                 "T should be an unsigned integer type");
--  if (IsRuntimeEvaluated()) {
--    DCHECK_GE(width, 0) << "Unsupported width " << width;
--    DCHECK_LE(width, std::numeric_limits<T>::digits)
--        << "Unsupported width " << width;
--  }
-+  ABSL_ASSERT(width >= 0);
-+  ABSL_ASSERT(width <= std::numeric_limits<T>::digits);
-   return width == 0
-              ? 0
-              : static_cast<T>(-1) >> (std::numeric_limits<T>::digits - width);
-@@ -488,13 +457,10 @@ constexpr inline T ClearUpperBits(T value, int width) {
- // Note: returns 1 when `exponent` is zero.
- // Precondition: `exponent` is non-negative.
- template <typename T>
--constexpr T IPow(T base, int exponent)
--    XLA_DIAGNOSE_ERROR_IF(exponent < 0, "exponent must be non-negative") {
--  if (IsRuntimeEvaluated()) {
--    // A negative `exponent` is indicative of a logic bug for integral `base`.
--    // We disallow it for floating-point types for symmetry.
--    DCHECK_GE(exponent, 0);
--  }
-+constexpr T IPow(T base, int exponent) {
-+  // A negative `exponent` is indicative of a logic bug for integral `base`.
-+  // We disallow it for floating-point types for symmetry.
-+  ABSL_ASSERT(exponent >= 0);
-   // We use the right-to-left binary exponentiation algorithm.
-   T result{1};
-   while (exponent > 0) {
\ No newline at end of file
diff --git a/tensorflow-base-cpu-osx/build.sh b/tensorflow-base-cpu-osx/build.sh
index 1c1dd4a..11ed081 100644
--- a/tensorflow-base-cpu-osx/build.sh
+++ b/tensorflow-base-cpu-osx/build.sh
@@ -5,14 +5,11 @@ set -ex
 bazel clean --expunge
 bazel shutdown
 
-if [[ "${target_platform}" == osx-* ]]; then
 export PATH="$PWD:$PATH"
 export CC=$(basename $CC)
 export CXX=$(basename $CXX)
-fi
 export LIBDIR=$PREFIX/lib
 export INCLUDEDIR=$PREFIX/include
-
 export CC_FOR_BUILD=$CC
 
 # expand PREFIX in tensor's build_config/BUILD file
@@ -60,67 +57,36 @@ sed -i -e "s/GRPCIO_VERSION/${grpc_cpp}/" tensorflow/tools/pip_package/setup.py
 
 export CC_OPT_FLAGS="${CFLAGS}"
 
-
-if [[ "${target_platform}" == osx-* ]]; then
+if [[ "${target_platform}" == osx-64 ]]; then
   export CONDA_BUILD_SYSROOT=/opt/MacOSX10.14.sdk
   export MACOSX_DEPLOYMENT_TARGET=10.14
   export LDFLAGS="${LDFLAGS} -lz -framework CoreFoundation -isysroot ${CONDA_BUILD_SYSROOT} -Xlinker -undefined -Xlinker dynamic_lookup"
 else
-  export LDFLAGS="${LDFLAGS} -lrt"
+  export CONDA_BUILD_SYSROOT=/Library/Developer/CommandLineTools/SDKs/MacOSX13.0.sdk/
+  export LDFLAGS="${LDFLAGS} -lz -framework CoreFoundation -isysroot ${CONDA_BUILD_SYSROOT} -Xlinker -undefined -Xlinker dynamic_lookup"
 fi
 
-if [[ "${target_platform}" == osx-* ]]; then
 chmod +x ${RECIPE_DIR}/gen-bazel-toolchain.sh
 source ${RECIPE_DIR}/gen-bazel-toolchain.sh
-fi
 
-if [[ ${HOST} =~ .*darwin.* ]]; then
-    # set build arguments
-    export  BAZEL_USE_CPP_ONLY_TOOLCHAIN=1
-    BUILD_OPTS="
-        --crosstool_top=//custom_toolchain:toolchain
-        --verbose_failures
-        ${BAZEL_MKL_OPT}
-        --config=opt"
-    export TF_ENABLE_XLA=0
-else
-    # Linux
-    # the following arguments are useful for debugging
-    #    --logging=6
-    #    --subcommands
-    # jobs can be used to limit parallel builds and reduce resource needs
-    #    --jobs=20
-    # Set compiler and linker flags as bazel does not account for CFLAGS,
-    # CXXFLAGS and LDFLAGS.
-    BUILD_OPTS="
-    --copt=-march=nocona
-    --copt=-mtune=haswell
-    --copt=-ftree-vectorize
-    --copt=-fPIC
-    --copt=-fstack-protector-strong
-    --copt=-O2
-    --cxxopt=-fvisibility-inlines-hidden
-    --cxxopt=-fmessage-length=0
-    --linkopt=-zrelro
-    --linkopt=-znow
+# set build arguments
+export  BAZEL_USE_CPP_ONLY_TOOLCHAIN=1
+BUILD_OPTS="
+    --crosstool_top=//custom_toolchain:toolchain
     --verbose_failures
     ${BAZEL_MKL_OPT}
     --config=opt"
-    export TF_ENABLE_XLA=0
-    export GCC_HOST_COMPILER_PATH="${CC}"
-fi
+export TF_ENABLE_XLA=0
 
 if [[ "${target_platform}" == "osx-64" ]]; then
   # Tensorflow doesn't cope yet with an explicit architecture (darwin_x86_64) on osx-64 yet.
   TARGET_CPU=darwin
+else
+  TARGET_CPU=darwin_arm64
 fi
 
 export TF_CONFIGURE_IOS=0
 
-#if [[ ${HOST} =~ "2*" ]]; then
-#    BUILD_OPTS="$BUILD_OPTS --config=v2"
-#fi
-
 # Python settings
 export PYTHON_BIN_PATH=${PYTHON}
 export PYTHON_LIB_PATH=${SP_DIR}
@@ -160,8 +126,6 @@ bazel ${BAZEL_OPTS} build ${BUILD_OPTS} \
     --python_path="${PYTHON}" \
     --define=PREFIX="$PREFIX" \
     --define=PROTOBUF_INCLUDE_PATH=${PREFIX}/include \
-    --copt=-DNO_CONSTEXPR_FOR_YOU=1 \
-    --host_copt=-DNO_CONSTEXPR_FOR_YOU=1 \
     --define=LIBDIR="$PREFIX/lib" \
     --define=INCLUDEDIR="$PREFIX/include" \
     //tensorflow/tools/pip_package:build_pip_package
diff --git a/tensorflow-base-cpu-osx/conda_build_config.yaml b/tensorflow-base-cpu-osx/conda_build_config.yaml
index 7972aa5..1c82924 100644
--- a/tensorflow-base-cpu-osx/conda_build_config.yaml
+++ b/tensorflow-base-cpu-osx/conda_build_config.yaml
@@ -2,3 +2,9 @@
 # which is enabled when MKL is turned on.
 tflow_variant:
   - eigen
+MACOSX_DEPLOYMENT_TARGET:  # [osx and x86_64]
+  - "10.14"                # [osx and x86_64]
+MACOSX_SDK_VERSION:        # [osx and x86_64]
+  - "10.14"                # [osx and x86_64]
+CONDA_BUILD_SYSROOT:
+  - /opt/MacOSX10.14.sdk   # [osx and x86_64]
\ No newline at end of file
diff --git a/tensorflow-base-cpu-osx/meta.yaml b/tensorflow-base-cpu-osx/meta.yaml
index 54e5ec2..7e41750 100644
--- a/tensorflow-base-cpu-osx/meta.yaml
+++ b/tensorflow-base-cpu-osx/meta.yaml
@@ -1,4 +1,4 @@
-{% set version = "2.9.1" %}
+{% set version = "2.10.0" %}
 {% set major_minor = version.rsplit('.', 1)[0] %}
 
 # This is the recipe for the "mkl" and "eigen" variants of tensorflow-base, but the MKL variant
@@ -10,15 +10,15 @@ package:
 source:
   fn: tensorflow-{{ version }}.tar.gz
   url: https://github.com/tensorflow/tensorflow/archive/v{{ version }}.tar.gz
-  sha256: 6eaf86ead73e23988fe192da1db68f4d3828bcdd0f3a9dc195935e339c95dbdc
+  sha256: b5a1bb04c84b6fe1538377e5a1f649bb5d5f0b2e3625a3c526ff3a8af88633e8
   patches:
     - 0101-include-c-and-cc-headers.patch
     - 0107-do-not-hardcode-ca-cert-location.patch
-    - 0108-fix-absl-stuff.patch
 
 build:
-  number: 1
-  skip: True  # [not x86_64 or not osx]
+  number: 0
+  skip: True  # [not osx]
+  skip: True  # [py<37]
   string: {{ tflow_variant }}_py{{ CONDA_PY }}h{{PKG_HASH}}_{{ PKG_BUILDNUM }}
   entry_points:
     - toco_from_protos = tensorflow.lite.toco.python.toco_from_protos:main
@@ -39,7 +39,6 @@ requirements:
     # required here for all OS's
     - bazel >=5.2.0
     - aws-sdk-cpp
-    # - abseil-cpp
     - llvm-openmp 
     - llvm-tools
     - libtool
@@ -52,7 +51,6 @@ requirements:
     - llvm-openmp
     - wheel
   host:
-    # conda build requirements for .sh scripts on win
     - python
     - pip
     - setuptools
@@ -67,7 +65,7 @@ requirements:
     - dill >=0.3.1.1
     - giflib
     - grpc-cpp
-    - flatbuffers 1.12.*
+    - flatbuffers 2.0
     - icu
     - jpeg
     - libpng
@@ -77,17 +75,18 @@ requirements:
     - sqlite
     - snappy
     - zlib
-    - abseil-cpp
-    - absl-py 0.11
+    - requests
+    - absl-py 1.3.0
     - astunparse 1.6.3
-    - python-flatbuffers 1.12.*
+    - python-flatbuffers 2.0
     - gast 0.4.0
     - google-pasta 0.2
     - grpcio
     - h5py >=3.1.0
     - keras-preprocessing >=1.1.2
-    - numpy 1.20  # [py<=39]
-    - numpy 1.21  # [py>39]
+    - numpy 1.20  # [py<=39 and osx and x86_64]
+    - numpy 1.21  # [py>39 and osx and x86_64]
+    - numpy 1.21  # [osx and arm64]
     - opt_einsum 3.3.0.*
     # build only requirement, doesn't need a run dep below
     - protobuf >=3.9.2
@@ -106,9 +105,9 @@ requirements:
     - packaging
   run:
     - python
-    - absl-py >=0.10.0
+    - absl-py >=1.0.0
     - astunparse >=1.6.3
-    - python-flatbuffers 1.12.*
+    - python-flatbuffers >=2.0
     - google-pasta >=0.2
     - h5py >=3.1.0
     - keras {{ major_minor }}.*
@@ -122,10 +121,11 @@ requirements:
     - wrapt >=1.11.2
     - grpcio
     - packaging
+    - requests
     # upstream wants exact pin for gast
     - gast ==0.4.0
     - scipy >=1.7.3,<2
-    - flatbuffers
+    - flatbuffers >=2.0
     - llvm-openmp
     - tensorboard {{ major_minor }}.*
     - tensorflow-estimator {{ major_minor }}.*
@@ -142,8 +142,8 @@ test:
     - toco_from_protos --help
 
 about:
-  home: http://tensorflow.org/
-  license: Apache 2.0
+  home: https://tensorflow.org/
+  license: Apache-2.0
   license_family: Apache
   summary: TensorFlow is a machine learning library, base package contains only tensorflow.
   description: |
@@ -151,8 +151,8 @@ about:
     provides you with complete programming control.
     Base package contains only tensorflow, not tensorflow-tensorboard.
   dev_url: https://github.com/tensorflow/tensorflow
-  doc_url: https://www.tensorflow.org/get_started/get_started
-  doc_source_url: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/docs_src
+  doc_url: https://www.tensorflow.org/api_docs
+  doc_source_url: https://github.com/tensorflow/docs/
 
 extra:
   tflow_variant: {{ tflow_variant }}
diff --git a/tensorflow-estimator/meta.yaml b/tensorflow-estimator/meta.yaml
index 7a9a90d..83c0e5d 100644
--- a/tensorflow-estimator/meta.yaml
+++ b/tensorflow-estimator/meta.yaml
@@ -1,5 +1,5 @@
 {% set name = "tensorflow-estimator" %}
-{% set version = "2.9.0" %}
+{% set version = "2.10.0" %}
 {% set major_minor = version.rsplit('.', 1)[0] %}
 
 package:
@@ -8,7 +8,7 @@ package:
 
 source:
   url: https://pypi.io/packages/py2.py3/t/tensorflow-estimator/tensorflow_estimator-{{ version }}-py2.py3-none-any.whl
-  sha256: e9762bb302f51bc1eb2f35d19f0190a6a2d809d754d5def788c4328fe3746744
+  sha256: f324ea17cd57f16e33bf188711d5077e6b2e5f5a12c328d6e01a07b23888edcd
 
 build:
   number: 0
@@ -20,6 +20,8 @@ requirements:
   host:
     - python
     - pip
+    - setuptools
+    - wheel
   run:
     - python
   run_constrained:
diff --git a/tensorflow/conda_build_config_linux_64_cpu.yaml b/tensorflow/conda_build_config_linux_64_cpu.yaml
index a4330f1..ffdcfab 100644
--- a/tensorflow/conda_build_config_linux_64_cpu.yaml
+++ b/tensorflow/conda_build_config_linux_64_cpu.yaml
@@ -1,13 +1,13 @@
 # configuration for linux-64 eigen and mkl variants
 full_base_version:
-  - "2.9.1 eigen_py37hd99631c_0"
-  - "2.9.1 eigen_py38hd99631c_0"
-  - "2.9.1 eigen_py39hd99631c_0"
-  - "2.9.1 eigen_py310hd99631c_0"
-  - "2.9.1 mkl_py37h353358b_0"
-  - "2.9.1 mkl_py38h353358b_0"
-  - "2.9.1 mkl_py39h353358b_0"
-  - "2.9.1 mkl_py310h353358b_0"
+  - "2.10.0 eigen_py37h1969d1f_0"
+  - "2.10.0 eigen_py38h1969d1f_0"
+  - "2.10.0 eigen_py39h1969d1f_0"
+  - "2.10.0 eigen_py310h1969d1f_0"
+  - "2.10.0 mkl_py37hb9daa73_0"
+  - "2.10.0 mkl_py38hb9daa73_0"
+  - "2.10.0 mkl_py39hb9daa73_0"
+  - "2.10.0 mkl_py310hb9daa73_0"
 
 select_version:
   - "2.2.0 eigen"
diff --git a/tensorflow/conda_build_config_linux_aarch64_cpu.yaml b/tensorflow/conda_build_config_linux_aarch64_cpu.yaml
index b524b41..44e79ba 100644
--- a/tensorflow/conda_build_config_linux_aarch64_cpu.yaml
+++ b/tensorflow/conda_build_config_linux_aarch64_cpu.yaml
@@ -1,13 +1,13 @@
 # configuration for linux-64 eigen and mkl variants
 full_base_version:
-  - "2.9.1 eigen_py37ha372be2_0"
-  - "2.9.1 eigen_py38ha372be2_0"
-  - "2.9.1 eigen_py39ha372be2_0"
-  - "2.9.1 eigen_py310ha372be2_0"
-  - "2.9.1 mkl_py37hfdbf31d_0"
-  - "2.9.1 mkl_py38hfdbf31d_0"
-  - "2.9.1 mkl_py39hfdbf31d_0"
-  - "2.9.1 mkl_py310hfdbf31d_0"
+  - "2.10.0 eigen_py37ha372be2_0"
+  - "2.10.0 eigen_py38ha372be2_0"
+  - "2.10.0 eigen_py39ha372be2_0"
+  - "2.10.0 eigen_py310ha372be2_0"
+  - "2.10.0 mkl_py37hfdbf31d_0"
+  - "2.10.0 mkl_py38hfdbf31d_0"
+  - "2.10.0 mkl_py39hfdbf31d_0"
+  - "2.10.0 mkl_py310hfdbf31d_0"
 
 select_version:
   - "2.2.0 eigen"
diff --git a/tensorflow/conda_build_config_linux_cuda113.yaml b/tensorflow/conda_build_config_linux_cuda113.yaml
index af06afb..004b22b 100644
--- a/tensorflow/conda_build_config_linux_cuda113.yaml
+++ b/tensorflow/conda_build_config_linux_cuda113.yaml
@@ -1,9 +1,9 @@
 # configuration for linux-64 gpu, cuda 11.3
 full_base_version:
-  - "2.9.1 gpu_py37h1986732_0"
-  - "2.9.1 gpu_py38h1986732_0"
-  - "2.9.1 gpu_py39h1986732_0"
-  - "2.9.1 gpu_py310h1986732_0"
+  - "2.10.0 gpu_py37h6559e04_0"
+  - "2.10.0 gpu_py38h6559e04_0"
+  - "2.10.0 gpu_py39h6559e04_0"
+  - "2.10.0 gpu_py310h6559e04_0"
 select_version:
   - "2.1.0 gpu"
   - "2.1.0 gpu"
diff --git a/tensorflow/conda_build_config_osx_cpu.yaml b/tensorflow/conda_build_config_osx_cpu.yaml
index 2686b59..4c50868 100644
--- a/tensorflow/conda_build_config_osx_cpu.yaml
+++ b/tensorflow/conda_build_config_osx_cpu.yaml
@@ -1,9 +1,9 @@
-# configuration for osx-64 eigen variant
+# Configuration for osx-64 eigen variant.
 full_base_version:
-  - "2.9.1 eigen_py37h36d2db2_0"
-  - "2.9.1 eigen_py38h36d2db2_0"
-  - "2.9.1 eigen_py39h36d2db2_0"
-  - "2.9.1 eigen_py310h36d2db2_0"
+  - "2.10.0 eigen_py37h61e1807_0"
+  - "2.10.0 eigen_py38h61e1807_0"
+  - "2.10.0 eigen_py39h61e1807_0"
+  - "2.10.0 eigen_py310h61e1807_0"
 
 select_version:
   - "2.2.0 eigen"
diff --git a/tensorflow/conda_build_config_osx_cpu_arm64.yaml b/tensorflow/conda_build_config_osx_cpu_arm64.yaml
new file mode 100644
index 0000000..8e47b1b
--- /dev/null
+++ b/tensorflow/conda_build_config_osx_cpu_arm64.yaml
@@ -0,0 +1,27 @@
+# Configuration for osx-arm64 eigen variant.
+# Note that we don't build for Python 3.7 due to numpy limitations.
+full_base_version:
+  - "2.10.0 eigen_py38h4111cb8_0"
+  - "2.10.0 eigen_py39h4111cb8_0"
+  - "2.10.0 eigen_py310h4111cb8_0"
+
+select_version:
+  - "2.2.0 eigen"
+  - "2.2.0 eigen"
+  - "2.2.0 eigen"
+
+tflow_variant:
+  - "eigen"
+  - "eigen"
+  - "eigen"
+
+py_version:
+  - 3.8
+  - 3.9
+  - 3.10
+
+zip_keys:
+  - full_base_version
+  - select_version
+  - tflow_variant
+  - py_version
diff --git a/tensorflow/conda_build_config_win_cpu.yaml b/tensorflow/conda_build_config_win_cpu.yaml
index 1238fcd..509daf5 100644
--- a/tensorflow/conda_build_config_win_cpu.yaml
+++ b/tensorflow/conda_build_config_win_cpu.yaml
@@ -1,13 +1,13 @@
 # configuration for win-64 eigen and mkl variants
 full_base_version:
-  - "2.9.1 eigen_py37he3c91d7_0"
-  - "2.9.1 eigen_py38he3c91d7_0"
-  - "2.9.1 eigen_py39he3c91d7_0"
-  - "2.9.1 eigen_py310he3c91d7_0"
-  - "2.9.1 mkl_py37h6a7f48e_0"
-  - "2.9.1 mkl_py38h6a7f48e_0"
-  - "2.9.1 mkl_py39h6a7f48e_0"
-  - "2.9.1 mkl_py310h6a7f48e_0"
+  - "2.10.0 eigen_py37he3c91d7_0"
+  - "2.10.0 eigen_py38he3c91d7_0"
+  - "2.10.0 eigen_py39he3c91d7_0"
+  - "2.10.0 eigen_py310he3c91d7_0"
+  - "2.10.0 mkl_py37h6a7f48e_0"
+  - "2.10.0 mkl_py38h6a7f48e_0"
+  - "2.10.0 mkl_py39h6a7f48e_0"
+  - "2.10.0 mkl_py310h6a7f48e_0"
 
 select_version:
   - "2.2.0 eigen"
diff --git a/tensorflow/conda_build_config_win_cuda113.yaml b/tensorflow/conda_build_config_win_cuda113.yaml
index e6e8531..d029c9c 100644
--- a/tensorflow/conda_build_config_win_cuda113.yaml
+++ b/tensorflow/conda_build_config_win_cuda113.yaml
@@ -1,9 +1,9 @@
 # configuration for win-64 gpu, cuda 11.3
 full_base_version:
-  - "2.9.1 gpu_py37h9761872_0"
-  - "2.9.1 gpu_py38h9761872_0"
-  - "2.9.1 gpu_py39h9761872_0"
-  - "2.9.1 gpu_py310h9761872_0"
+  - "2.10.0 gpu_py37h9761872_0"
+  - "2.10.0 gpu_py38h9761872_0"
+  - "2.10.0 gpu_py39h9761872_0"
+  - "2.10.0 gpu_py310h9761872_0"
 
 select_version:
   - "2.1.0 gpu"
diff --git a/tensorflow/meta.yaml b/tensorflow/meta.yaml
index b6acae7..685730e 100644
--- a/tensorflow/meta.yaml
+++ b/tensorflow/meta.yaml
@@ -1,4 +1,4 @@
-{% set version = "2.9.1" %}
+{% set version = "2.10.0" %}
 {% set major_minor = version.rsplit('.', 1)[0] %}
 
 package: