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configure.py
elif is_windows(): default_cc_opt_flags = '/arch:AVX' else: # On all other platforms, no longer use `-march=native` as this can result # in instructions that are too modern being generated. Users that want # maximum performance should compile TF in their environment and can pass # `-march=native` there. # See https://github.com/tensorflow/tensorflow/issues/45744 and duplicates
Python - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (0) -
.github/workflows/trusted_partners.js
let domain = ""; if (email && email.lastIndexOf("@") != -1) domain = email.substring(email.lastIndexOf("@") +1); console.log(domain); return domain; }; /** For trusted parters like Intel, we want to auto-run tests This allows us to reduce the delay to external partners Add Labels - kokoro:force-run The PR is also assigned to specific teams to fast track review
JavaScript - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Tue Feb 07 13:52:04 GMT 2023 - 4.5K bytes - Viewed (0) -
tensorflow/c/eager/tape.h
// functions (and hence the tensors they keep alive). Instead, everything // is deleted in ~GradientTape. Persistent GradientTapes are useful when // users want to compute multiple gradients over the same tape. explicit GradientTape(bool persistent) : persistent_(persistent) {} ~GradientTape() { for (const auto& pair : op_tape_) {
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
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.
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 15.1K bytes - Viewed (0) -
ci/devinfra/docker_windows/Dockerfile
choco install anaconda2 --version 5.0.1; \ choco install anaconda3 --version 5.0.1; \ choco install android-sdk --version 25.2.3.1; \ choco install AndroidStudio --version 3.0.1.0; \ choco install ant --version 1.10.1; \ choco install ccleaner; \ choco install chocolatey; \ choco install chocolatey-core.extension; \ choco install chocolatey-visualstudio.extension; \
Plain Text - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Aug 18 17:24:20 GMT 2023 - 13.6K bytes - Viewed (0) -
.bazelrc
# Attempt to minimize the amount of data transfer between bazel and the remote # workers: build:rbe_base --remote_download_toplevel test:rbe_base --test_env=USER=anon # TODO(kanglan): Check if we want to merge rbe_linux into rbe_linux_cpu. build:rbe_linux --config=rbe_base build:rbe_linux --action_env=PATH="/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/go/bin"
Plain Text - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Tue Apr 23 01:21:54 GMT 2024 - 53.4K bytes - Viewed (2) -
CONTRIBUTING.md
there is too much debug info (see [this GitHub issue](https://github.com/tensorflow/tensorflow/issues/48919) for context). If you want to debug a kernel, you can compile specific files with `-g` using the `--per_file_copt` bazel option. For example, if you want to debug the Identity op, which are in files starting with `identity_op`, you can run ```bash
Plain Text - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Mar 21 11:45:51 GMT 2024 - 15.6K bytes - Viewed (0) -
ci/official/containers/linux_arm64/builder.devtoolset/build_devtoolset.sh
"${TARGET}/usr/lib64" # Link in architecture specific includes from the system; note that we cannot # link in the whole aarch64-linux-gnu folder, as otherwise we're overlaying # system gcc paths that we do not want to find. # TODO(klimek): Automate linking in all non-gcc / non-kernel include # directories. mkdir -p "${TARGET}/usr/include/aarch64-linux-gnu" PYTHON_VERSIONS=("python3.8" "python3.9" "python3.10" "python3.11")
Shell Script - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Sep 29 00:26:34 GMT 2023 - 6.1K bytes - Viewed (1) -
tensorflow/c/eager/c_api_experimental.h
bool is_async, bool enable_streaming_enqueue, int in_flight_nodes_limit); // Deletes the eager Executor without waiting for enqueued nodes. Please call // TFE_ExecutorWaitForAllPendingNodes before calling this API if you want to // make sure all nodes are finished. TF_CAPI_EXPORT extern void TFE_DeleteExecutor(TFE_Executor*); // Returns true if the executor is in async mode. TF_CAPI_EXPORT extern bool TFE_ExecutorIsAsync(TFE_Executor*);
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
ci/official/requirements_updater/requirements.in
opt_einsum == 3.3.0 astunparse == 1.6.3 dill == 0.3.7 astor == 0.7.1 typing_extensions == 4.8.0 gast == 0.4.0 termcolor == 2.3.0 wrapt == 1.16.0 tblib == 2.0.0 # Install tensorboard, and keras # Note that here we want the latest version that matches TF major.minor version # Note that we must use nightly here as these are used in nightly jobs # For release jobs, we will pin these on the release branch keras-nightly ~= 3.0.0.dev
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