diff --git a/packages/python-torch/0001-do-not-error-on-cast-function-type-strict.patch b/packages/python-torch/0001-do-not-error-on-cast-function-type-strict.patch
new file mode 100644
index 0000000000..de8e86ac9b
--- /dev/null
+++ b/packages/python-torch/0001-do-not-error-on-cast-function-type-strict.patch
@@ -0,0 +1,10 @@
+--- a/CMakeLists.txt
++++ b/CMakeLists.txt
+@@ -920,6 +920,7 @@
+   append_cxx_flag_if_supported("-fno-trapping-math" CMAKE_CXX_FLAGS)
+   append_cxx_flag_if_supported("-Werror=format" CMAKE_CXX_FLAGS)
+   append_cxx_flag_if_supported("-Werror=cast-function-type" CMAKE_CXX_FLAGS)
++  append_cxx_flag_if_supported("-Wno-error=cast-function-type-strict" CMAKE_CXX_FLAGS)
+ else()
+   # skip unwanted includes from windows.h
+   add_compile_definitions(WIN32_LEAN_AND_MEAN)
diff --git a/packages/python-torch/0001-fix-for-format-specifies-type.patch b/packages/python-torch/0001-fix-for-format-specifies-type.patch
deleted file mode 100644
index 7dde2535c5..0000000000
--- a/packages/python-torch/0001-fix-for-format-specifies-type.patch
+++ /dev/null
@@ -1,33 +0,0 @@
-diff -uNr pytorch/torch/csrc/autograd/python_function.cpp pytorch.mod/torch/csrc/autograd/python_function.cpp
---- pytorch/torch/csrc/autograd/python_function.cpp	2022-10-03 21:59:02.604422931 +0900
-+++ pytorch.mod/torch/csrc/autograd/python_function.cpp	2022-10-03 23:39:51.207871384 +0900
-@@ -510,7 +510,7 @@
-       throw torch::TypeError(
-           "save_for_backward can only save variables, but argument %ld is of "
-           "type %s",
--          i,
-+          (long)(i),
-           Py_TYPE(obj)->tp_name);
-     }
-   }
-diff -uNr pytorch/torch/csrc/utils/python_arg_parser.h pytorch.mod/torch/csrc/utils/python_arg_parser.h
---- pytorch/torch/csrc/utils/python_arg_parser.h	2022-10-03 19:00:05.000000000 +0900
-+++ pytorch.mod/torch/csrc/utils/python_arg_parser.h	2022-10-03 23:39:46.263853740 +0900
-@@ -511,7 +511,7 @@
-       args->signature.params[i].name.c_str(),
-       args->signature.params[i].type_name().c_str(),
-       Py_TYPE(obj)->tp_name,
--      idx + 1);
-+      (long)(idx + 1));
- }
- 
- inline std::vector<c10::SymInt> PythonArgs::symintlist(int i) {
-@@ -671,7 +671,7 @@
-           signature.params[i].name.c_str(),
-           signature.params[i].type_name().c_str(),
-           Py_TYPE(obj)->tp_name,
--          idx + 1);
-+          (long)(idx + 1));
-     }
-   }
-   return res;
diff --git a/packages/python-torch/0004-memalign.patch b/packages/python-torch/0004-memalign.patch
index b4762db7ea..5e609f44c1 100644
--- a/packages/python-torch/0004-memalign.patch
+++ b/packages/python-torch/0004-memalign.patch
@@ -1,16 +1,15 @@
-diff -uNr pytorch-v1.12.1/torch/csrc/init_flatbuffer_module.cpp pytorch-v1.12.1.mod/torch/csrc/init_flatbuffer_module.cpp
---- pytorch-v1.12.1/torch/csrc/init_flatbuffer_module.cpp	2022-08-06 04:37:12.000000000 +0900
-+++ pytorch-v1.12.1.mod/torch/csrc/init_flatbuffer_module.cpp	2022-09-05 00:27:22.542774737 +0900
-@@ -27,7 +27,7 @@
+--- a/torch/csrc/jit/python/script_init.cpp
++++ b/torch/csrc/jit/python/script_init.cpp
+@@ -718,7 +718,7 @@
    std::shared_ptr<char> bytes_copy(
-       static_cast<char*>(_aligned_malloc(size, FLATBUFFERS_MAX_ALIGNMENT)),
+       static_cast<char*>(_aligned_malloc(size, kFlatbufferDataAlignmentBytes)),
        _aligned_free);
 -#elif defined(__APPLE__)
 +#elif defined(__APPLE__) || defined(__ANDROID__)
    void* p;
-   ::posix_memalign(&p, FLATBUFFERS_MAX_ALIGNMENT, size);
+   ::posix_memalign(&p, kFlatbufferDataAlignmentBytes, size);
    TORCH_INTERNAL_ASSERT(p, "Could not allocate memory for flatbuffer");
---- a/third_party/pocketfft/pocketfft_hdronly.h.orig
+--- a/third_party/pocketfft/pocketfft_hdronly.h
 +++ b/third_party/pocketfft/pocketfft_hdronly.h
 @@ -149,7 +149,7 @@
  #endif
diff --git a/packages/python-torch/0007-enable-cxx14-by-default.patch b/packages/python-torch/0007-enable-cxx17-by-default.patch
similarity index 74%
rename from packages/python-torch/0007-enable-cxx14-by-default.patch
rename to packages/python-torch/0007-enable-cxx17-by-default.patch
index 8e700b455e..e2b939cc01 100644
--- a/packages/python-torch/0007-enable-cxx14-by-default.patch
+++ b/packages/python-torch/0007-enable-cxx17-by-default.patch
@@ -1,4 +1,4 @@
-Enable C++14 by default, because protobuf only supports C++14 and newer.
+Enable C++17 by default, because torch needs at least C++17 to build since 2.1.0.
 
 --- a/third_party/onnx/CMakeLists.txt.orig
 +++ b/third_party/onnx/CMakeLists.txt
@@ -7,7 +7,7 @@ Enable C++14 by default, because protobuf only supports C++14 and newer.
  # For other platforms, set C++11 as standard for the whole project
  if(NOT MSVC)
 -  set(CMAKE_CXX_STANDARD 11)
-+  set(CMAKE_CXX_STANDARD 14)
++  set(CMAKE_CXX_STANDARD 17)
  else()
    string(APPEND CMAKE_CXX_FLAGS " /std:c++17")
  endif()
diff --git a/packages/python-torch/build.sh b/packages/python-torch/build.sh
index 8b6e0f36d7..95e30d23d6 100644
--- a/packages/python-torch/build.sh
+++ b/packages/python-torch/build.sh
@@ -2,9 +2,9 @@ TERMUX_PKG_HOMEPAGE=https://pytorch.org/
 TERMUX_PKG_DESCRIPTION="Tensors and Dynamic neural networks in Python"
 TERMUX_PKG_LICENSE="BSD 3-Clause"
 TERMUX_PKG_MAINTAINER="@termux"
-TERMUX_PKG_VERSION=2.0.1
-TERMUX_PKG_REVISION=3
+TERMUX_PKG_VERSION="2.1.0"
 TERMUX_PKG_SRCURL=git+https://github.com/pytorch/pytorch
+TERMUX_PKG_UPDATE_TAG_TYPE="latest-release-tag"
 TERMUX_PKG_DEPENDS="ffmpeg, libc++, libopenblas, libprotobuf, libzmq, opencv, python, python-numpy, python-pip"
 TERMUX_PKG_BUILD_DEPENDS="vulkan-headers, vulkan-loader-android"
 TERMUX_PKG_HOSTBUILD=true
@@ -16,7 +16,6 @@ TERMUX_PKG_EXTRA_CONFIGURE_ARGS="
 -DBUILD_CUSTOM_PROTOBUF=OFF
 -DBUILD_PYTHON=ON
 -DBUILD_TEST=OFF
--DCMAKE_CXX_STANDARD=14
 -DCMAKE_BUILD_TYPE=Release
 -DCMAKE_INSTALL_PREFIX=${TERMUX_PKG_SRCDIR}/torch
 -DCMAKE_PREFIX_PATH=${TERMUX_PYTHON_HOME}/site-packages