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tensorflow/c/experimental/gradients/nn_grad_test.cc
outputs[0]->Unref(); } TEST_P(CppGradients, TestSparseSoftmaxCrossEntropyWithLogitsGrad) { if (UseFunction()) { // TODO(b/168850692): Enable this. GTEST_SKIP() << "Can't take gradient of " "SparseSoftmaxCrossEntropyWithLogits in tracing mode."; } // Score float X_vals[] = {1.0f, 2.0f, 3.0f, -5.0f, -4.0f, -3.0f, 2.0f, 0.0f, -1.0f}; int64_t X_dims[] = {3, 3};
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 8.3K bytes - Viewed (0) -
CODE_OF_CONDUCT.md
# TensorFlow Code of Conduct In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to make participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, nationality, personal appearance, race, religion, or sexual identity and orientation. ## Our Standards
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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
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tensorflow/api_template.__init__.py
from tensorflow.python.util.lazy_loader import KerasLazyLoader as _KerasLazyLoader # Make sure code inside the TensorFlow codebase can use tf2.enabled() at import. _os.environ["TF2_BEHAVIOR"] = "1" from tensorflow.python import tf2 as _tf2 _tf2.enable() # API IMPORTS PLACEHOLDER # WRAPPER_PLACEHOLDER # Make sure directory containing top level submodules is in
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 05 06:27:59 GMT 2024 - 6.7K bytes - Viewed (3) -
tensorflow/c/eager/parallel_device/parallel_device_remote_test.cc
TensorHandlePtr combined_value = CreatePerDeviceValues( context.get(), in_components, device_name, status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); // Loop to make synchronization failures more deterministic for (int i = 0; i < 100; ++i) { TensorHandlePtr multiply_result( Multiply(context.get(), combined_value.get(), combined_value.get(), status.get()));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 22:09:57 GMT 2023 - 6.7K bytes - Viewed (0) -
tensorflow/c/eager/c_api.h
// // Very similar to TF_OperationDescription with some differences: // (1) TF_Output or TFE_TensorHandle* as arguments to TF_AddInput, // TF_AddInputList // (2) TF_ColocateWith, TF_AddControlInput etc. do not make sense. // (3) Implementation detail: Avoid use of NodeBuilder/NodeDefBuilder since // the additional sanity checks there seem unnecessary; typedef struct TFE_Op TFE_Op;
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tensorflow/c/c_api.cc
// directly, instead of requiring us to serialize to a GraphDef and // call Session::Extend(). bool ExtendSessionGraphHelper(TF_Session* session, TF_Status* status) { if (session->graph != nullptr) { // Take the graph lock before the session lock to avoid deadlock. This is // safe since session->graph does not change. session->graph->mu.lock(); mutex_lock session_lock(session->mu);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
ci/official/containers/linux_arm64/builder.devtoolset/gcc9-fixups.patch
+ extern __typeof (name) aliasname __attribute__ ((alias (#name))) \ + __attribute_copy__ (name); /* This comes between the return type and function name in a function definition to make that definition weak. */ @@ -125,14 +131,16 @@ If weak aliases are not available, this defines a strong alias. */ # define weak_alias(name, aliasname) _weak_alias (name, aliasname) # define _weak_alias(name, aliasname) \
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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}"
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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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