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.github/bot_config.yml
# Cuda Comment cuda_comment: > From the template it looks like you are installing **TensorFlow** (TF) prebuilt binaries: * For TF-GPU - See point 1 * For TF-CPU - See point 2 ----------------------------------------------------------------------------------------------- **1. Installing **TensorFlow-GPU** (TF) prebuilt binaries** Make sure you are using compatible TF and CUDA versions.
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Oct 17 11:48:07 GMT 2023 - 4K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.h
// be an empty string if no device was explicitly requested, but will // otherwise be the name of this custom device. Ops are placed onto a custom // device if any of their inputs are on that custom device, but custom devices // are free to set a bad status in order to require explicit placement. void (*execute)(const TFE_Op* op, int* num_outputs,
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.github/ISSUE_TEMPLATE/tflite-in-play-services.md
- Google Play Services version (`Settings` > `Apps` > `Google Play Services` > `App details`): **Standalone code to reproduce the issue** Provide a reproducible test case that is the bare minimum necessary to generate the problem. If possible, please share a link to or attach code demonstrating the problem. **Any other info / logs** Include any logs or source code that would be helpful to diagnose the problem.
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ci/official/requirements_updater/README.md
system-installed Python packages. \ Instead, an independent Python toolchain is registered, ensuring the right dependencies are always used. \ See https://github.com/bazelbuild/rules_python/ for more details. ### Specifying the Python version Note: Only a number of minor Python versions are supported at any given time. By default, the lowest supported version is used.
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CODEOWNERS
# Where component owners are known, add them here. /tensorflow/c/eager @qqfish /tensorflow/core/common_runtime/eager @qqfish /tenosrflow/core/debug @caisq /tensorflow/core/kernels/mkl/ @penpornk /tensorflow/core/kernels/sparse/ @penpornk /tensorflow/core/nccl/ @azaks2 @chsigg /tensorflow/python/autograph/ @mdanatg /tensorflow/python/debug @caisq /tensorflow/python/eager @rohan100jain /tensorflow/tools/docs/ @markdaoust
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tensorflow/c/eager/gradients.cc
vspace, target_tensor_ids, source_tensor_ids, sources_that_are_targets, output_gradients, result, /*build_default_zeros_grads*/ false)); return absl::OkStatus(); } // Helper functions which delegate to `AbstractOperation`, update // the state of the ForwardOperation and call the tape as appropriate. // These APIs are mainly to facilitate testing and are subject to change. namespace internal {
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tensorflow/c/experimental/ops/README.md
# Experimental C++ Ops The C++ files in this directory (***\*_ops.h*** and ***\*_ops.cc***) are autogenerated from the registered Op and API definitions. To regenerate them, run the script in this directory, `update_cpp_ops.sh`, with no arguments. This script will overwrite the existing ops in-place at ***tensorflow/c/experimental/ops/\*_ops.{cc,h}***. Run this `update_cpp_ops.sh` script when Op definitions change in the registry.
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tensorflow/c/eager/dlpack.cc
switch (dtype.code) { case DLDataTypeCode::kDLBool: if (dtype.bits != 8) { return tensorflow::errors::InvalidArgument( "Only DLPack bools of bitwidth 8 are supported, got: ", dtype.bits); } *tf_dtype = TF_DataType::TF_BOOL; return absl::OkStatus(); case DLDataTypeCode::kDLUInt: switch (dtype.bits) { case 8:
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ci/official/utilities/cleanup_summary.sh
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 # Find any "Streaming build results to" line, then print the last word in it, # and don't print duplicates
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tensorflow/c/experimental/filesystem/plugins/gcs/expiring_lru_cache.h
if (max_age_ == 0) { return compute_func(key, value, status); } // Note: we hold onto mu_ for the rest of this function. In practice, this // is okay, as stat requests are typically fast, and concurrent requests are // often for the same file. Future work can split this up into one lock per // key if this proves to be a significant performance bottleneck. absl::MutexLock lock(&mu_);
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