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tensorflow/c/experimental/ops/BUILD
load("//tensorflow:tensorflow.default.bzl", "filegroup") load("//tensorflow/core/platform:rules_cc.bzl", "cc_library") # Experimental ops. These will eventually be replaced by machine-generated versions. package( # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"], licenses = ["notice"], ) cc_library( name = "array_ops", srcs = [ "array_ops.cc", ], hdrs = [ "array_ops.h",
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ci/official/containers/linux_arm64/builder.devtoolset/gcc9-fixups.patch
+ __attribute__ ((__alloc_size__ params)) + #include <iostream> using namespace std; diff --git a/sysdeps/aarch64/dl-machine.h b/sysdeps/aarch64/dl-machine.h index 185402f..bbdeae0 100644 --- a/sysdeps/aarch64/dl-machine.h +++ b/sysdeps/aarch64/dl-machine.h @@ -49,23 +49,11 @@ elf_machine_load_address (void) /* To figure out the load address we use the definition that for any symbol:
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Sep 18 14:52:45 GMT 2023 - 8.9K bytes - Viewed (0) -
CITATION.cff
title: TensorFlow, Large-scale machine learning on heterogeneous systems
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1 # Prevent double-compilation of some TF code, ref. b/183279666 (internal) # > TF's gen_api_init_files has a genrule to run the core TensorFlow code # > on the host machine. If we don't have --distinct_host_configuration=false, # > the core TensorFlow code will be built once for the host and once for the # > target platform.
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SECURITY.md
## TensorFlow models are programs TensorFlow [**models**](https://developers.google.com/machine-learning/glossary/#model) (to use a term commonly used by machine learning practitioners) are expressed as programs that TensorFlow executes. TensorFlow programs are encoded as computation [**graphs**](https://developers.google.com/machine-learning/glossary/#graph). Since models are practically programs that TensorFlow executes, using untrusted
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tensorflow/c/experimental/grappler/BUILD
"//tensorflow/core:framework", "//tensorflow/core:test", "//tensorflow/core:test_main", "//tensorflow/core/grappler:grappler_item", "//tensorflow/core/grappler/clusters:single_machine", "//tensorflow/core/grappler/costs:graph_properties", "//tensorflow/core/grappler/inputs:trivial_test_graph_input_yielder", "//tensorflow/core/protobuf:error_codes_proto_impl_cc", ],
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
build --linkopt="-lm" build --linkopt="-Wl,--undefined-version" # Prevent double-compilation of some TF code, ref. b/183279666 (internal) # > TF's gen_api_init_files has a genrule to run the core TensorFlow code # > on the host machine. If we don't have --distinct_host_configuration=false, # > the core TensorFlow code will be built once for the host and once for the # > target platform.
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ci/official/README.md
- Uses `pycpp.sh`, `code_check_changed_files.sh` These "env" files match up with an environment matrix that roughly covers: - 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
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ci/official/containers/linux_arm64/devel.usertools/setup_venv_test.sh
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ci/official/envs/versions_upload
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # Release jobs are very basic. They don't use any caching or RBE, # but they do upload logs to resultstore. # IMPORTANT: trailing slash is required on GCS URIs, as it tells gcloud to # pretend the path is a directory. TFCI_ARTIFACT_FINAL_GCS_ENABLE=1
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