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ci/official/envs/rbe
# This env is only valid when RBE is available on the selected platform, since # it enables a derived --config setting. If RBE is not available (i.e. there # is no --config setting), bazel would fail and quit. This script does a quick # check This script checks for such errors early if ! grep "rbe_$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX" .bazelrc; then cat <<EOF
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.github/ISSUE_TEMPLATE/tflite-other.md
issue in TensorFlow Lite that is not about Converters, Play Services or Ops body: - type: dropdown id: issue-type attributes: label: Issue Type description: What type of issue would you like to report? multiple: false options: - Bug - Build/Install - Performance - Support - Feature Request - Documentation Feature Request - Documentation Bug - Others validations: required: true - type:
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tensorflow/c/eager/immediate_execution_tensor_handle.h
// // If false, a caller might implement pretty-printing by resolving and // iterating over the resulting tensor. This may still be viable if resolving // the handle loses information, but `SummarizeValue` would be more precise. virtual bool PreferCustomSummarizer() const { return false; } // Returns a string which summarizes the value of this TensorHandle, for // debugging. Does not include a shape or dtype. //
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tensorflow/c/eager/tfe_context_internal.h
#include "tensorflow/c/conversion_macros.h" #include "tensorflow/c/eager/immediate_execution_context.h" // Wraps a pointer to a context implementation. // // WARNING: Since the underlying object could be ref-counted a user of this // interface cannot destruct the underlying context object. Instead, call // TFE_DeleteContext who calls Release() on the context pointer and deletes // the TFE_Context structure.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jun 17 19:39:13 GMT 2020 - 1.4K bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# use the wheel's TensorFlow installation instead of the one made available # through bazel. This must be done in a different root directory, //bazel_pip/..., # because "import tensorflow" run from the root directory would instead import # the folder instead of the venv package. # # Pass --config=pip to run the same suite of tests. If you want to run just one # test for investigation, you'll need --config=pip_venv instead, and then you
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ci/official/utilities/code_check_changed_files.bats
# Fixes "fatal: detected dubious ownership in repository" for Docker. git config --system --add safe.directory '*' git config --system protocol.file.allow always # Note that you could generate a list of all the affected targets with e.g.: # bazel query $(paste -sd "+" $BATS_FILE_TMPDIR/changed_files) --keep_going # Only shows Added, Changed, Modified, Renamed, and Type-changed files
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tensorflow/c/experimental/gradients/nn_grad_test.cc
// `gradient_checker` only works with model that returns only 1 tensor. // Although, `ops::SparseSoftmaxCrossEntropyWithLogits` returns 2 tensors, the // second tensor isn't needed for computing gradient so we could safely drop // it. outputs[0] = loss; backprop->Unref(); return absl::OkStatus(); } Status BiasAddModel(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs,
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tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
// // Without this additional step, when there are schemes available but the user // only requests schemes that don't exist, first instantiation of the test would // filter out all the user provided schemes (as they are not registered) but // subsequent instantiations would return all registered schemes (since the // vector with the user provided schemes is cleared). static std::vector<std::string>* GetSchemesFromUserOrEnv() {
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.cc
if (now - it->second->timestamp <= max_staleness_) { // The oldest block is not yet expired. Come back later. break; } // We need to make a copy of the filename here, since it could otherwise // be used within RemoveFile_Locked after `it` is deleted. RemoveFile_Locked(std::string(it->first.first)); } } } void RamFileBlockCache::Flush() { absl::MutexLock lock(&mu_);
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tensorflow/c/eager/c_api_test.cc
char buffer[BUFFER_SIZE]; std::strncpy(buffer, "VALID", BUFFER_SIZE); TFE_OpSetAttrString(op, "padding", buffer, std::strlen(buffer)); // Overwriting value in "buffer", should be fine since TFE_Op // shouldn't be holding on to it. std::strncpy(buffer, "NHWC", BUFFER_SIZE); TFE_OpSetAttrString(op, "data_format", buffer, std::strlen(buffer)); TFE_OpSetAttrType(op, "T", TF_FLOAT);
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