Add support for TF 2.19.1

Makefile

@@ -49,8 +49,10 @@ endif
 EDGETPU_RUNTIME_DIR := /tmp/edgetpu_runtime
 #LIBUSB_URL := https://github.com/libusb/libusb/releases/download/v1.0.24/libusb-1.0.24.7z
 #LIBUSB_SHA256 := 620cec4dbe4868202949294157da5adb75c9fbb4f04266146fc833eef85f90fb
-LIBUSB_URL := https://github.com/libusb/libusb/releases/download/v1.0.27/libusb-1.0.27.7z
-LIBUSB_SHA256 := 19835e290f46fab6bd8ce4be6ab7dc5209f1c04bad177065df485e51dc4118c8
+#LIBUSB_URL := https://github.com/libusb/libusb/releases/download/v1.0.27/libusb-1.0.27.7z
+#LIBUSB_SHA256 := 19835e290f46fab6bd8ce4be6ab7dc5209f1c04bad177065df485e51dc4118c8
+LIBUSB_URL := https://github.com/libusb/libusb/releases/download/v1.0.29/libusb-1.0.29.7z
+LIBUSB_SHA256 := 964a38152ca9a104cd00ec8d2f0617b89cd814f9b635e29763c68563d951521d
 USBDK_URL := https://github.com/daynix/UsbDk/releases/download/v1.00-22/UsbDk_1.0.22_x64.msi
 USBDK_SHA256 := 91f6f695e1e13c656024e6d3b55620bf08d8835ef05ee0496935ba6bb62466a5
 LIBEDGETPU_BIN ?= $(MAKEFILE_DIR)/out/
@@ -172,7 +174,7 @@ chmod a+w /; \
 groupadd --gid $(shell id -g) $(shell id -g -n); \
 useradd -m -e '' -s /bin/bash --gid $(shell id -g) --uid $(shell id -u) $(shell id -u -n); \
 echo '$(shell id -u -n) ALL=(ALL) NOPASSWD:ALL' >> /etc/sudoers; \
-su $(shell id -u -n) $(if $(1),-c '$(1)',)
+su $(if $(1),-c '$(1)',)
 endef
 
 docker-image:

README.md

@@ -35,9 +35,9 @@ debuild -us -uc -tc -b -a amd64 -d
 ```
 
 ### Bazel
-The version of `bazel` needs to be the same as that recommended for the corresponding version of tensorflow. For example, it requires `Bazel 6.5.0` to compile TF 2.16.1.
+The version of `bazel` needs to be the same as that recommended for the corresponding version of tensorflow. For example, it requires `Bazel 6.5.0` to compile TF 2.19.1.
 
-Current version of tensorflow supported is `2.16.1`.
+The current version of Tensorflow supported is `2.19.1`.
 
 Build native binaries on Linux and macOS:
 ```
@@ -61,6 +61,12 @@ $ CPU=armv7a make
 $ CPU=aarch64 make
 ```
 
+Cross-compile for Apple Silicon (arm64), or Intel (x86_64) on MacOS:
+```
+$ CPU=darwin_arm64 make
+$ CPU=darwin_x86_64 make
+```
+
 To package a Debian deb:
 ```
 debuild -us -uc -tc -b
@@ -77,18 +83,42 @@ Repeat compilation.
 
 If only building for native systems, it is possible to significantly reduce the complexity of the build by removing Bazel (and Docker). This simple approach builds only what is needed, removes build-time depenency fetching, increases the speed, and uses upstream Debian packages.
 
-To prepare your system, you'll need the following packages (both available on Debian Bookworm, Bullseye or Buster-Backports):
+To prepare your system, you'll need the following packages:
 ```
 sudo apt install libabsl-dev libflatbuffers-dev
 ```
 
-Next, you'll need to clone the [Tensorflow Repo](https://github.com/tensorflow/tensorflow) at the desired checkout (using TF head isn't advised). If you are planning to use libcoral or pycoral libraries, this should match the ones in those repos' WORKSPACE files. For example, if you are using TF2.15, we can check that [tag in the TF Repo](https://github.com/tensorflow/tensorflow/tree/r2.15) get the latest commit for that stable release and then checkout that address:
+For Ubuntu 24.10 or newer you also need:
+```
+sudo apt install libflatbuffers-dev
+```
+For previous versions, you need a newer version of `libflatbuffers-dev` than the one available from the distribution:
+
+```
+git clone https://github.com/google/flatbuffers.git
+cd flatbuffers/
+git checkout v23.5.26
+mkdir build && cd build
+cmake .. -DFLATBUFFERS_BUILD_SHAREDLIB=ON -DFLATBUFFERS_BUILD_TESTS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/usr
+make
+sudo make install
+```
+
+
+Next, you'll need to clone the [Tensorflow Repo](https://github.com/tensorflow/tensorflow) at the desired checkout (using TF head isn't advised). If you are planning to use libcoral or pycoral libraries, this should match the ones in those repos' WORKSPACE files. For example, if you are using TF 2.19.1, we can check that [tag in the TF Repo](https://github.com/tensorflow/tensorflow/tree/r2.19) get the latest commit for that stable release and then checkout that address:
 ```
 git clone https://github.com/tensorflow/tensorflow
-git checkout v2.16.1
+git checkout v2.19.1
+```
+
+To build the library for Debian/Ubuntu:
+```
+TFROOT=<path to tensorflow source>/ LD_LIBRARY_PATH=/usr/local/lib/ make -f makefile_build/Makefile  libedgetpu-throttled
+TFROOT=<path to tensorflow source>/ LD_LIBRARY_PATH=/usr/local/lib/ make -f makefile_build/Makefile  libedgetpu-throttled
+debuild -us -uc -tc -b -a amd64 -d
 ```
 
-To build the library:
+To build the library for MacOS:
 ```
 TFROOT=<Directory of Tensorflow> make -f makefile_build/Makefile -j$(nproc) libedgetpu
 ```
@@ -116,3 +146,4 @@ Google does not accept any responsibility for any loss or damage if the device
 is operated outside of the recommended ambient temperature range.
 
 Note: This issue affects only USB-based Coral devices, and is irrelevant for PCIe devices.
+ß

WORKSPACE

@@ -47,7 +47,12 @@ load(
     "python_repository",
 )
 
-python_repository(name = "python_version_repo")
+#python_repository(name = "python_version_repo")
+
+local_repository(
+    name = "python_version_repo",
+    path = "local_repo/python_version_repo"
+)
 
 load("@python_version_repo//:py_version.bzl", "HERMETIC_PYTHON_VERSION")
 

debian/changelog

@@ -1,6 +1,18 @@
+libedgetpu (16.0tf2.19.1-1) stable; urgency=medium
+  * Build against TF v2.19.1
+-- Nicola Ferralis <feranick@hotmail.com>  Mon, 17 Sep 2025 12:34:40 -0400
+libedgetpu (16.0tf2.18.1-1) stable; urgency=medium
+  * Build against TF v2.18.1
+-- Nicola Ferralis <feranick@hotmail.com>  Mon, 17 Sep 2025 11:33:39 -0400
+libedgetpu (16.0tf2.17.1-1) stable; urgency=medium
+  * Build against TF v2.17.1
+-- Nicola Ferralis <feranick@hotmail.com>  Mon, 24 Oct 2024 11:33:39 -0400
+libedgetpu (16.0tf2.17.0-1) stable; urgency=medium
+  * Build against TF v2.17.0
+-- Nicola Ferralis < feranick@hotmail.com> Fri, 12 Jul 2024 09:41:18 -0400
 libedgetpu (16.0tf2.16.1-1) stable; urgency=medium
   * Build against TF v2.16.1
--- Nicola Ferralis < feranick@hotmail.com> Thu, 07 Mar 2024 14:01:34 -0500
+-- Nicola Ferralis <feranick@hotmail.com> Thu, 07 Mar 2024 14:01:34 -0500
 libedgetpu (16.0tf2.15.0-1) stable; urgency=medium
   * Build against TF v2.15.0
  -- Nicola Ferralis <feranick@hotmail.com>  Tue, 31 Jan 2024 09:10:34 -0500

docker/Dockerfile

@@ -45,9 +45,17 @@ RUN apt-get update \
       wget \
       git \
       tree \
-      software-properties-common \
       $(grep Ubuntu /etc/os-release > /dev/null && echo vim-common || echo xxd)
 
+# Debian Trixie
+RUN if grep 'trixie' /etc/os-release > /dev/null; then \
+    DEBIAN_FRONTEND=noninteractive apt-get install -y \
+      binutils-gold \
+      binutils-gold-aarch64-linux-gnu \
+      binutils-gold-arm-linux-gnueabihf \
+    && export TF_PYTHON_VERSION=3.13; \
+    fi
+
 # Bionic Beaver == Ubuntu 18.04
 RUN if grep 'Bionic Beaver' /etc/os-release > /dev/null; then \
       add-apt-repository ppa:ubuntu-toolchain-r/test \

docker/Dockerfile.windows

@@ -28,26 +28,26 @@ RUN choco install -y 7zip
 RUN setx /M PATH $($Env:PATH + ';C:\Program Files\7-Zip')
 
 # Install msys2
-ARG MSYS_VERSION=20240113
+ARG MSYS_VERSION=20250830
 ADD http://repo.msys2.org/distrib/x86_64/msys2-base-x86_64-${MSYS_VERSION}.tar.xz c:/windows/temp
 RUN 7z.exe x c:\windows\temp\msys2-base-x86_64-$env:MSYS_VERSION.tar.xz
 RUN 7z.exe x c:\msys2-base-x86_64-$env:MSYS_VERSION.tar -o"c:\\"
 RUN setx /M PATH $($Env:PATH + ';C:\msys64\usr\bin')
 
 # Install patch
-ARG PATCH_VERSION=2.7.6-1
+ARG PATCH_VERSION=2.7.6-3
 ADD http://repo.msys2.org/msys/x86_64/patch-${PATCH_VERSION}-x86_64.pkg.tar.xz c:/windows/temp
 RUN 7z.exe x -y c:\windows\temp\patch-$env:PATCH_VERSION-x86_64.pkg.tar.xz
 RUN 7z.exe x -y c:\patch-$env:PATCH_VERSION-x86_64.pkg.tar -o"c:\\msys64"
 
 # Install vim (for xxd)
-ARG VIM_VERSION=9.1.0000-1
+ARG VIM_VERSION=9.1.1730-1
 ADD http://repo.msys2.org/msys/x86_64/vim-${VIM_VERSION}-x86_64.pkg.tar.zst c:/windows/temp
 RUN 7z.exe x -y c:\windows\temp\vim-$env:VIM_VERSION-x86_64.pkg.tar.zst
 RUN 7z.exe x -y c:\vim-$env:VIM_VERSION-x86_64.pkg.tar -o"c:\\msys64"
 
 # Install libusb release package
-ARG LIBUSB_VERSION=1.0.27
+ARG LIBUSB_VERSION=1.0.29
 ADD https://github.com/libusb/libusb/releases/download/v${LIBUSB_VERSION}/libusb-${LIBUSB_VERSION}.7z c:/windows/temp
 RUN 7z x -oc:\libusb c:\windows\temp\libusb-$env:LIBUSB_VERSION.7z
 

docker/update_sources.sh

@@ -18,8 +18,47 @@
 
 sed -i "s/deb\ /deb \[arch=amd64\]\ /g" /etc/apt/sources.list
 
+if [ ${UBUNTU_CODENAME} == "noble" ]; then
+
+echo "NOBLE"
+
+rm /etc/apt/sources.list.d/ubuntu.sources
+cat <<EOT >> /etc/apt/sources.list.d/ubuntu.sources
+
+Types: deb
+URIs: http://archive.ubuntu.com/ubuntu/
+Suites: ${UBUNTU_CODENAME} ${UBUNTU_CODENAME}-updates ${UBUNTU_CODENAME}-backports
+Components: main universe restricted multiverse
+Signed-By: /usr/share/keyrings/ubuntu-archive-keyring.gpg
+Architectures: amd64
+
+## Ubuntu security updates. Aside from URIs and Suites,
+## this should mirror your choices in the previous section.
+Types: deb
+URIs: http://security.ubuntu.com/ubuntu/
+Suites: ${UBUNTU_CODENAME}-security
+Components: main universe restricted multiverse
+Signed-By: /usr/share/keyrings/ubuntu-archive-keyring.gpg
+Architectures: amd64
+
+Types: deb
+URIs: http://ports.ubuntu.com/ubuntu-ports
+Suites: ${UBUNTU_CODENAME} ${UBUNTU_CODENAME}-updates ${UBUNTU_CODENAME}-security
+Components: main universe
+Signed-By: /usr/share/keyrings/ubuntu-archive-keyring.gpg
+Architectures: arm64 armhf
+
+EOT
+
+else
+
 cat <<EOT >> /etc/apt/sources.list
 deb [arch=arm64,armhf] http://ports.ubuntu.com/ubuntu-ports ${UBUNTU_CODENAME} main universe
 deb [arch=arm64,armhf] http://ports.ubuntu.com/ubuntu-ports ${UBUNTU_CODENAME}-updates main universe
 deb [arch=arm64,armhf] http://ports.ubuntu.com/ubuntu-ports ${UBUNTU_CODENAME}-security main universe
 EOT
+
+fi
+
+
+

local_repo/python_version_repo/WORKSPACE

@@ -0,0 +1,2 @@
+# DO NOT EDIT: automatically generated WORKSPACE file for python_repository rule
+workspace(name = "python_version_repo")

local_repo/python_version_repo/py_version.bzl

@@ -0,0 +1,6 @@
+
+TF_PYTHON_VERSION = "3.12"
+HERMETIC_PYTHON_VERSION = "3.12"
+WHEEL_NAME = "tensorflow"
+WHEEL_COLLAB = "False"
+USE_PYWRAP_RULES = "1"

makefile_build/Makefile

@@ -22,7 +22,7 @@ LIBEDGETPU_CFLAGS := \
 LIBEDGETPU_CXXFLAGS := \
 	-fPIC \
 	-Wall \
-	-std=c++14 \
+	-std=c++17 \
 	-DDARWINN_PORT_DEFAULT
 
 LIBEDGETPU_LDFLAGS := \
@@ -59,7 +59,7 @@ LIBEDGETPU_INCLUDES := \
 	$(BUILDDIR)/$(BUILDROOT)
 LIBEDGETPU_INCLUDES := $(addprefix -I,$(LIBEDGETPU_INCLUDES))
 
-LIBEDGETPU_CSRCS := $(TFROOT)/tensorflow/lite/c/common.c
+LIBEDGETPU_CSRCS := $(TFROOT)/tensorflow/lite/c/common_internal.cc
 LIBEDGETPU_COBJS := $(call TOBUILDDIR,$(patsubst %.c,%.o,$(LIBEDGETPU_CSRCS)))
 
 LIBEDGETPU_CCSRCS := \
@@ -140,7 +140,9 @@ LIBEDGETPU_CCSRCS := \
 	$(BUILDROOT)/tflite/edgetpu_c.cc \
 	$(BUILDROOT)/tflite/edgetpu_delegate_for_custom_op.cc \
 	$(BUILDROOT)/tflite/edgetpu_delegate_for_custom_op_tflite_plugin.cc \
-	$(TFROOT)/tensorflow/lite/util.cc
+	$(TFROOT)/tensorflow/lite/core/c/common.cc \
+	$(TFROOT)/tensorflow/lite/util.cc \
+	$(TFROOT)/tensorflow/lite/array.cc
 LIBEDGETPU_CCOBJS := $(call TOBUILDDIR,$(patsubst %.cc,%.o,$(LIBEDGETPU_CCSRCS)))
 
 # In order to support direct and throttled mode - we need to compile two files
@@ -180,12 +182,6 @@ firmware:
 	done
 	@echo "} // namespace" >> $(LIBEDGETPU_FW_OUTPUT)
 
-
-$(LIBEDGETPU_COBJS) : $(BUILDDIR)/%.o: %.c
-	@$(MKDIR)
-	@echo "Compiling $<"
-	@$(CC) $(LIBEDGETPU_CFLAGS) $(LIBEDGETPU_INCLUDES) -c $< -MD -MT $@ -MF $(@:%o=%d) -o $@
-
 $(LIBEDGETPU_CCOBJS) : $(BUILDDIR)/%.o: %.cc
 	@$(MKDIR)
 	@echo "Compiling $<"
@@ -201,14 +197,14 @@ $(LIBEDGETPU_STD_CCOBJS) : $(BUILDDIR)/%-throttled.o: %.cc
 	@echo "Compiling $<"
 	@$(CXX) -DTHROTTLE_EDGE_TPU $(LIBEDGETPU_CXXFLAGS) $(LIBEDGETPU_INCLUDES) -c $< -MD -MT $@ -MF $(@:%o=%d) -o $@
 
-libedgetpu: | firmware $(LIBEDGETPU_FLATC_OBJS) $(LIBEDGETPU_COBJS) $(LIBEDGETPU_CCOBJS) $(LIBEDGETPU_MAX_CCOBJS)
+libedgetpu: | firmware $(LIBEDGETPU_FLATC_OBJS) $(LIBEDGETPU_CCOBJS) $(LIBEDGETPU_MAX_CCOBJS)
 	@mkdir -p $(BUILDDIR)/direct/k8
 	@echo "Building libedgetpu.so"
-	@$(CXX) $(LIBEDGETPU_CCFLAGS) $(LIBEDGETPU_LDFLAGS) $(LIBEDGETPU_COBJS) $(LIBEDGETPU_CCOBJS) $(LIBEDGETPU_MAX_CCOBJS) -o $(BUILDDIR)/direct/k8/libedgetpu.so.1.0
+	@$(CXX) $(LIBEDGETPU_CCFLAGS) $(LIBEDGETPU_LDFLAGS) ${LDFLAGS} $(LIBEDGETPU_CCOBJS) $(LIBEDGETPU_MAX_CCOBJS) -o $(BUILDDIR)/direct/k8/libedgetpu.so.1.0
 	@ln -sf $(BUILDDIR)/direct/k8/libedgetpu.so.1.0 $(BUILDDIR)/direct/k8/libedgetpu.so.1
 
-libedgetpu-throttled: | firmware $(LIBEDGETPU_FLATC_OBJS) $(LIBEDGETPU_COBJS) $(LIBEDGETPU_CCOBJS) $(LIBEDGETPU_STD_CCOBJS)
+libedgetpu-throttled: | firmware $(LIBEDGETPU_FLATC_OBJS) $(LIBEDGETPU_CCOBJS) $(LIBEDGETPU_STD_CCOBJS)
 	@mkdir -p $(BUILDDIR)/throttled/k8
 	@echo "Building throttled libedgetpu.so"
-	@$(CXX) $(LIBEDGETPU_CCFLAGS) $(LIBEDGETPU_LDFLAGS) $(LIBEDGETPU_COBJS) $(LIBEDGETPU_CCOBJS) $(LIBEDGETPU_STD_CCOBJS) -o $(BUILDDIR)/throttled/k8/libedgetpu.so.1.0
+	@$(CXX) $(LIBEDGETPU_CCFLAGS) $(LIBEDGETPU_LDFLAGS) ${LDFLAGS} $(LIBEDGETPU_CCOBJS) $(LIBEDGETPU_STD_CCOBJS) -o $(BUILDDIR)/throttled/k8/libedgetpu.so.1.0
 	@ln -sf $(BUILDDIR)/throttled/k8/libedgetpu.so.1.0 $(BUILDDIR)/throttled/k8/libedgetpu.so.1

makefile_build/README.md

@@ -2,18 +2,40 @@
 
 If only building for native systems, it is possible to significantly reduce the complexity of the build by removing Bazel (and Docker). This simple approach builds only what is needed, removes build-time depenency fetching, increases the speed, and uses upstream Debian packages.
 
-To prepare your system, you'll need the following packages (both available on Debian Bullseye):
+To prepare your system, you'll need the following packages (both available on Debian Bookworm / Ubuntu 22.04):
 ```
-sudo apt install libabsl-dev libflatbuffers-dev
+sudo apt install libabsl-dev libusb-1.0-0-dev xxd
 ```
 
-Next, you'll need to clone the [Tensorflow Repo](https://github.com/tensorflow/tensorflow) at the desired checkout (using TF head isn't advised). If you are planning to use libcoral or pycoral libraries, this should match the ones in those repos' WORKSPACE files. For example, if you are using TF2.5, we can check that [tag in the TF Repo](https://github.com/tensorflow/tensorflow/commit/a4dfb8d1a71385bd6d122e4f27f86dcebb96712d) and then checkout that address:
+Next, build [FlatBuffers](https://github.com/google/flatbuffers) from source. This is because the version of Flatbuffers provided in the package is different from the version required by TensorFlow v2.16.1.
+
+```
+git clone https://github.com/google/flatbuffers.git
+cd flatbuffers/
+git checkout v23.5.26
+mkdir build && cd build
+cmake .. \
+    -DFLATBUFFERS_BUILD_SHAREDLIB=ON \
+    -DFLATBUFFERS_BUILD_TESTS=OFF \
+    -DCMAKE_BUILD_TYPE=Release \
+    -DCMAKE_INSTALL_PREFIX=/usr/local
+make -j$(nproc)
+sudo make install
+```
+
+Next, you'll need to clone the [Tensorflow Repo](https://github.com/tensorflow/tensorflow) at the desired checkout (using TF head isn't advised). If you are planning to use libcoral or pycoral libraries, this should match the ones in those repos' WORKSPACE files. For example, if you are using TF2.16.1, we can check that [tag in the TF Repo](https://github.com/tensorflow/tensorflow/tree/v2.16.1) and then checkout that address:
+
 ```
 git clone https://github.com/tensorflow/tensorflow
-git checkout a4dfb8d1a71385bd6d122e4f27f86dcebb96712d -b tf2.5
+cd tensorflow
+git checkout v2.17.0
 ```
 
 To build the library:
+Note: The `LDFLAGS` flag is required if you specify flatbuffers to be installed to `"/usr/local"`.
+
 ```
-TFROOT=<Directory of Tensorflow> make -j$(nproc) libedgetpu
+git clone https://github.com/google-coral/libedgetpu.git
+cd libedgetpu/makefile_build
+TFROOT=/home/pi/tensorflow/ LDFLAGS="-L/usr/local/lib" make -j$(nproc) libedgetpu
 ```

patches/add_configure_cuda.diff

@@ -0,0 +1,19 @@
+diff -Nru org_tensorflow.orig/tensorflow/workspace2.bzl org_tensorflow/tensorflow/workspace2.bzl
+--- org_tensorflow.orig/tensorflow/workspace2.bzl	2025-09-17 13:39:35
++++ org_tensorflow/tensorflow/workspace2.bzl	2025-09-17 13:40:35
+@@ -29,6 +29,7 @@
+ load("//third_party/FP16:workspace.bzl", FP16 = "repo")
+ load("//third_party/gemmlowp:workspace.bzl", gemmlowp = "repo")
+ load("//third_party/git:git_configure.bzl", "git_configure")
++load("//third_party/gpus:cuda_configure.bzl", "cuda_configure")
+ load("//third_party/gpus:rocm_configure.bzl", "rocm_configure")
+ load("//third_party/gpus:sycl_configure.bzl", "sycl_configure")
+ load("//third_party/hexagon:workspace.bzl", hexagon_nn = "repo")
+@@ -104,6 +105,7 @@
+     # Note that we check the minimum bazel version in WORKSPACE.
+     clang6_configure(name = "local_config_clang6")
+     cc_download_clang_toolchain(name = "local_config_download_clang")
++    cuda_configure(name = "local_config_cuda")
+     tensorrt_configure(name = "local_config_tensorrt")
+     git_configure(name = "local_config_git")
+     syslibs_configure(name = "local_config_syslibs")