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CONTRIBUTING.md
checks if the PR looks good or needs additional changes. - If all looks good, the reviewer will approve the PR. - If a change is needed, the contributor is requested to make the suggested change. - You make the change and submit it for the review again. - This cycle repeats itself until the PR gets approved. - Note: As a friendly reminder, we may reach out to you if the PR is awaiting
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
patch -p1 < /gcc9-fixups.patch patch -p1 < /stringop_trunc.patch cd ../glibc-build ../glibc-src/configure --prefix=/usr --disable-werror --enable-obsolete-rpc --disable-profile make -j$(nproc) make install DESTDIR=${TARGET} cd .. # Symlinks in the binary distribution are set up for installation in /usr, we # need to fix up all the links to stay within /${TARGET}. /fixlinks.sh "/${TARGET}"
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/tfe_monitoring_reader_internal.h
#include <memory> #include "tensorflow/core/lib/monitoring/cell_reader.h" struct TFE_MonitoringCounterReader { explicit TFE_MonitoringCounterReader(const char* name) { counter = std::make_unique< ::tensorflow::monitoring::testing::CellReader<int64_t>>(name); } template <typename... LabelType> int64_t Read(const LabelType&... labels);
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.github/bot_config.yml
* For TF-CPU - See point 2 ----------------------------------------------------------------------------------------------- **1. Installing **TensorFlow-GPU** (TF) prebuilt binaries** Make sure you are using compatible TF and CUDA versions. Please refer following TF version and CUDA version compatibility table. | TF | CUDA | | :-------------: | :-------------: | | 2.5.0 | 11.2 |
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tensorflow/c/experimental/filesystem/plugins/gcs/expiring_lru_cache.h
ABSL_EXCLUSIVE_LOCKS_REQUIRED(mu_) { lru_list_.push_front(key); Entry entry{timer_seconds_(), value, lru_list_.begin()}; auto insert = cache_.insert(std::make_pair(key, entry)); if (!insert.second) { lru_list_.erase(insert.first->second.lru_iterator); insert.first->second = entry; } else if (max_entries_ > 0 && cache_.size() > max_entries_) {
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tensorflow/api_template_v1.__init__.py
* https://www.tensorflow.org/guide/migrate Or install the latest stable TensorFlow 1.X release: * `pip install -U "tensorflow==1.*"` Otherwise your code may be broken by the change. """) # Make sure directory containing top level submodules is in # the __path__ so that "from tensorflow.foo import bar" works. # We're using bitwise, but there's nothing special about that.
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tensorflow/c/c_api_experimental_test.cc
CheckOutputShapes(matmul_op, /*input_shapes*/ {make_shape({3, 2}), make_shape({2, 4})}, /*input_tensors*/ {}, /*expected_shape*/ make_shape({3, 4})); // Infer shape when second operand has unknown shape. CheckOutputShapes(matmul_op, /*input_shapes*/ {make_shape({3, 2}), unknown_shape()}, /*input_tensors*/ {},
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tensorflow/c/experimental/gradients/tape/tape_context.cc
: AbstractContext(kTape), parent_ctx_(c), tape_(tape), registry_(registry) { // TODO(srbs): Make AbstractContext ref counted. // parent_ctx_->Ref(); } void TapeContext::Release() { // TODO(srbs): Change to Unref() delete this; } TapeContext::~TapeContext() { // TODO(srbs): Make AbstractContext ref counted. // parent_ctx_->Unref(); } TapeOperation* TapeContext::CreateOperation() {
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Sep 23 23:12:39 GMT 2020 - 1.7K bytes - Viewed (0) -
tensorflow/c/eager/gradients.cc
int64_t target_id = target_tensor_ids[i]; if (sources_set.find(target_id) != sources_set.end()) { auto tensor = targets[i]; sources_that_are_targets.insert( std::make_pair(target_id, TapeTensor(tensor))); } } TF_RETURN_IF_ERROR(GradientTape::ComputeGradient( vspace, target_tensor_ids, source_tensor_ids, sources_that_are_targets,
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tensorflow/c/eager/c_api_experimental.h
// 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*);
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