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CITATION.cff
- family-names: Kaiser given-names: Lukasz - family-names: Kudlur given-names: Manjunath - family-names: Levenberg given-names: Josh - family-names: Mané given-names: Dan - family-names: Schuster given-names: Mike - family-names: Monga given-names: Rajat - family-names: Moore given-names: Sherry - family-names: Murray given-names: Derek - family-names: Olah
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Sep 06 15:26:23 GMT 2021 - 3.5K bytes - Viewed (0) -
tensorflow/c/checkpoint_reader.h
namespace tensorflow { namespace checkpoint { class TensorSliceReader; // A wrapper around BundleReader (for V2 checkpoints) and // checkpoint::TensorSliceReader (for V1), that is more easily SWIG wrapped for // other languages. // // The class currently only interacts with single-slice (i.e., non-partitioned) // variables. class CheckpointReader { public:
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 12 08:49:52 GMT 2023 - 3.1K bytes - Viewed (0) -
ci/official/wheel_test/update_requirements.sh
# if there is a change in requirements.in then all lock files will be updated # accordingly. # -e: abort script if one command fails # -u: error if undefined variable used # -o pipefail: entire command fails if pipe fails. watch out for yes | ... # -o history: record shell history set -euo pipefail -o history # Check for required arguments if [ -z "$1" ]; then
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.github/bot_config.yml
* It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task. * All you need is a good internet connection and you are all set. * Try to build TF from sources by changing CPU optimization flags.
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Oct 17 11:48:07 GMT 2023 - 4K bytes - Viewed (0) -
ci/official/utilities/cleanup_summary.sh
# limitations under the License. # ============================================================================== set -euxo pipefail function resultstore_extract_fallback { # In case the main script fails somehow. cat <<EOF IMPORTANT: For bazel invocations that uploaded to ResultStore (e.g. RBE), you can view more detailed results that are probably easier to read than this log. Try the links below: EOF
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ci/official/README.md
bit.ly/tf-sig-build-notes) if you'd like to discuss the future of contributions. ### Brief System Overview The top-level scripts and utility scripts should be fairly well-documented. Here is a brief explanation of how they tie together: 1. `envs/*` are lists of variables made with bash syntax. A user must set a `TFCI` env param pointing to a list of `env` files.
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.zenodo.json
"license": "Apache-2.0", "title": "TensorFlow", "upload_type": "software", "creators": [ { "name": "TensorFlow Developers" } ],
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tensorflow/c/eager/c_api_remote_test_util.cc
} if (remote) { TFE_OpSetDevice(matmul, task1_name, status); ASSERT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status); } else if (!async) { // Set the local device to CPU to easily validate mirroring string cpu_device_name; ASSERT_TRUE(GetDeviceName(ctx, &cpu_device_name, "CPU")); TFE_OpSetDevice(matmul, cpu_device_name.c_str(), status);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 22:56:03 GMT 2020 - 9.1K bytes - Viewed (0) -
SECURITY.md
vulnerabilities. ## Security properties of execution modes TensorFlow has several execution modes, with Eager-mode being the default in v2. Eager mode lets users write imperative-style statements that can be easily inspected and debugged and it is intended to be used during the development phase. As part of the differences that make Eager mode easier to debug, the [shape inference
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tensorflow/c/eager/abstract_context.h
virtual void Release() = 0; // Creates an operation builder and ties it to this context. // The returned object can be used for setting operation's attributes, // adding inputs and finally executing (immediately or lazily as in tracing) // it in this context. virtual AbstractOperation* CreateOperation() = 0; // Registers a function with this context, after this the function is
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