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RELEASE.md
data, or by relaxing `Input` shape assumptions (note that you can pass shapes with `None` entries for axes that are meant to be dynamic). You can also disable the input checking entirely by setting `model.input_spec = None`. * Several changes have been made to `tf.keras.mixed_precision.experimental`. Note that it is now recommended
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.github/workflows/update-rbe.yml
run: | function map() { # The "digest" that allows us to pull an image is not the digest as # returned by the API, but a sha256sum of the entire chunk of image # metadata. gcr.io helpfully includes it in the header of the response # as docker-content-digest: sha256:[digest]. Note we use egrep to # match exactly sha256:<hash> because curl may include a ^M symbol at
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tensorflow/c/c_api.cc
// added since the last TF_SessionRun() call. for (auto id = session->last_num_graph_nodes; id < num_nodes; ++id) { Node* const node = graph.FindNodeId(id); if (node != nullptr && node->IsOp()) { NodeDef* const node_def = graph_def.add_node(); *node_def = node->def(); } } *graph_def.mutable_library() = graph.flib_def().ToProto();
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ci/official/containers/linux_arm64/builder.devtoolset/stringop_trunc.patch
- : memset (s, c, n))) -# endif -# endif - -/* GCC < 3.0 optimizes memset(s, 0, n) but not bzero(s, n). - The optimization is broken before EGCS 1.1. - GCC 3.0+ has __builtin_bzero as well, but at least till GCC 3.4 - if it decides to call the library function, it calls memset - and not bzero. */ -# if __GNUC_PREREQ (2, 91) -# define __bzero(s, n) __builtin_memset (s, '\0', n) -# endif -
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ci/official/envs/ci_default
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # Note: this file gets sourced in utilities/setup.sh, which has "set -u" # (error on undefined variables). This ensures that (a) every TFCI variable # has an explicit default value, and (b) no script can accidentally use a
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ci/official/upload.sh
tfrun python3 tensorflow/tools/ci_build/update_version.py --nightly fi source ci/official/utilities/get_versions.sh # Note on gsutil commands: # "gsutil cp" always "copies into". It cannot act on the contents of a directory # and it does not seem possible to e.g. copy "gs://foo/bar" as anything other than # "/path/bar". This script uses "gsutil rsync" instead, which acts on directory
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.bazelrc
build:monolithic --define framework_shared_object=false build:monolithic --define tsl_protobuf_header_only=false build:monolithic --experimental_link_static_libraries_once=false # b/229868128 # Please note that MKL on MacOS is still not supported. # If you would like to use a local MKL instead of downloading, please set the # environment variable "TF_MKL_ROOT" every time before build. build:mkl --define=build_with_mkl=true --define=enable_mkl=true
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tensorflow/c/c_api_experimental.h
// `shape_inference::InferenceContext` constructor. Note the following: // - The inputs of the `op` are not used for shape inference. So, it is // OK to not have the inputs properly set in `op`. See `input_tensors` // if you want shape inference to consider the input tensors of the // op for shape inference. // - The types need not be set in `input_shapes` as it is not used.
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ci/devinfra/docker_windows/Dockerfile
kiwisolver macholib matplotlib nose numpy packaging pandas pickleshare pip \ prompt-toolkit protobuf psutil pyasn1 pyasn1-modules pycparser Pygments \ pyparsing pyreadline python-dateutil pytz pywin32 requests rsa setuptools \ simplegeneric six Tempita traitlets uritemplate urllib3 virtualenv wcwidth \ wheel win-unicode-console; # Hardcoding Android license since I did not find any solution on accepting it
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tensorflow/BUILD
# with clang. It does not imply that CUDA support has been enabled. alias( name = "is_cuda_compiler_clang", actual = if_oss( "@local_config_cuda//:is_cuda_compiler_clang", "@local_config_cuda//cuda:TRUE", ), ) # Config setting that is satisfied when CUDA device code should be compiled # with nvcc. It does not imply that CUDA support has been enabled. alias(
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