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RELEASE.md
* <NOTES SHOULD BE GROUPED PER AREA> * `tf.lite` * Added support for `stablehlo.gather`. * Added support for `stablehlo.add`. * Added support for `stablehlo.multiply`. * Added support for `stablehlo.maximum`. * Added support for `stablehlo.minimum`. * Added boolean parameter support for `tfl.gather_nd`. * C API: * New API functions:
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tensorflow/BUILD
config_setting( name = "stackdriver_support", define_values = {"stackdriver_support": "true"}, visibility = ["//visibility:public"], ) config_setting( name = "with_xla_support", define_values = {"with_xla_support": "true"}, visibility = ["//visibility:public"], ) # By default, XLA GPU is compiled into tensorflow when building with # --config=cuda even when `with_xla_support` is false. The config setting
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tensorflow/c/experimental/filesystem/BUILD
srcs = ["modular_filesystem_test.cc"], linkopts = ["-ldl"], tags = [ "manual", # Requires DSOs as arguments, eventual setup "notap", # b/139060984, requires implementing modular support for Google filesystem ], deps = [ ":modular_filesystem", "//tensorflow/core:framework_internal", "//tensorflow/core/lib/io:path", "//tensorflow/core/platform:env",
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ci/official/README.md
- Different Python versions - Linux, MacOS, and Windows machines (these pool definitions are internal) - x86 and arm64 - CPU-only, or with NVIDIA CUDA support (Linux only), or with TPUs ## How to Test Your Changes to TensorFlow You may check how your changes will affect TensorFlow by: 1. Creating a PR and observing the presubmit test results
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ci/official/envs/linux_arm64
TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_arm64 # Note: this is not set to "--cpu", because that changes the package name # to tensorflow_cpu. These ARM builds are supposed to have the name "tensorflow" # despite lacking Nvidia CUDA support. TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ENABLE=1 TFCI_DOCKER_IMAGE=gcr.io/tensorflow-sigs/build-arm64:tf-2-16-multi-python TFCI_DOCKER_PULL_ENABLE=1
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.bazelrc
# v2: Build TF v2 # # Feature and Third party library support options: # xla: Build TF with XLA # tpu: Build TF with TPU support # cuda: Build with CUDA support. # cuda_clang Build with CUDA Clang support. # rocm: Build with AMD GPU support (rocm) # mkl: Enable full mkl support. # tensorrt: Enable Tensorrt support. # noaws: Disable AWS S3 storage support
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tensorflow/c/BUILD
"//tensorflow/core/platform:tstring", "@com_google_absl//absl/status", "@local_xla//xla/tsl/c:tsl_status", ] + select({ "//tensorflow:with_xla_support": [ "//tensorflow/compiler/jit", "//tensorflow/compiler/tf2xla:xla_compiler", ], "//conditions:default": [], }) + if_tensorrt([
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tensorflow/c/eager/BUILD
"//tensorflow/core/lib/llvm_rtti", "@com_google_absl//absl/types:variant", ], }) + select({ "//tensorflow:with_xla_support": [ "//tensorflow/compiler/jit", "//tensorflow/compiler/jit:xla_device", "//tensorflow/compiler/tf2xla:xla_compiler", ], "//conditions:default": [], }) + [
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