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ci/devinfra/docker_windows/Dockerfile
# downloads with Invoke-WebRequest not show the progress bar and is MUCH faster). SHELL ["powershell.exe", "-ExecutionPolicy", "Bypass", "-Command", "$ErrorActionPreference='Stop'; $ProgressPreference='SilentlyContinue'; $VerbosePreference = 'Continue';"] # Workaround for networking (b/112379377) was closed as won't fix for MTU setting.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Fri Aug 18 17:24:20 GMT 2023 - 13.6K bytes - Viewed (0) -
RELEASE.md
`(batch_size, 1)`. This enables `Model` subclasses to process scalar data in their `train_step()`/`test_step()`/`predict_step()` methods. \ Note that this change may break certain subclassed models. You can revert back to the previous behavior by adding upranking yourself in the `train_step()`/`test_step()`/`predict_step()` methods, e.g. `if x.shape.rank == 1: x = tf.expand_dims(x, axis=-1)`. Functional models as
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tensorflow/c/eager/tape.h
absl::Span<const tensorflow::DataType> dtypes) { if (call_state_.top().backward_tape != nullptr) { // If we're forwarding Accumulate calls to backward_tape's RecordOperation, // we should also delegate ShouldRecord. return call_state_.top().backward_tape->ShouldRecord(tensor_ids, dtypes); } if (call_state_.top().accumulating) { return false; } for (int i = 0; i < tensor_ids.size(); ++i) {
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tensorflow/c/c_api.cc
#if defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD) status->status = tensorflow::errors::Unimplemented( "Server functionality is not supported on mobile"); #else status->status = server->server->Stop(); #endif // defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD) } void TF_ServerJoin(TF_Server* server, TF_Status* status) { #if defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD)
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tensorflow/c/eager/c_api.h
// Some TF ops need a step container to be set to limit the lifetime of some // resources (mostly TensorArray and Stack, used in while loop gradients in // graph mode). Calling this on a context tells it to start a step. TF_CAPI_EXPORT extern void TFE_ContextStartStep(TFE_Context* ctx); // Ends a step. When there is no active step (that is, every started step has
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ci/official/containers/linux_arm64/builder.devtoolset/gcc9-fixups.patch
index 3f9112e..8e60197 100644 --- a/iconv/gconv.h +++ b/iconv/gconv.h @@ -174,7 +174,7 @@ typedef struct __gconv_info { size_t __nsteps; struct __gconv_step *__steps; - __extension__ struct __gconv_step_data __data __flexarr; + __extension__ struct __gconv_step_data __data[0]; } *__gconv_t; #endif /* gconv.h */ diff --git a/include/libc-symbols.h b/include/libc-symbols.h index c555bf2..143b26d 100644
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tensorflow/c/eager/immediate_execution_operation.h
CancellationManager* cancellation_manager) = 0; // Returns the stack trace set by `SetStackTrace` if exists. virtual absl::optional<ManagedStackTrace> GetStackTrace() = 0; virtual void SetStepId(int64_t step_id) = 0; // For LLVM style RTTI. static bool classof(const AbstractOperation* ptr) { return ptr->getKind() == kEager || ptr->getKind() == kTfrt; } protected:
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
# Find all one-step dependencies of those tests which are from //tensorflow # (since external deps will come from Python-level pip dependencies), # excluding dependencies and files that are known to be unneccessary.
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tensorflow/c/experimental/grappler/grappler.cc
} #undef CONFIG_TOGGLE absl::Status InitGraphPlugin(void* dso_handle) { tsl::Env* env = tsl::Env::Default(); // Step 1: Load symbol for `TF_InitPlugin` void* dso_symbol; TF_RETURN_IF_ERROR( env->GetSymbolFromLibrary(dso_handle, "TF_InitGraph", &dso_symbol)); // Step 2: Call `TF_InitPlugin` auto init_fn = reinterpret_cast<TFInitGraphPluginFn>(dso_symbol); return InitGraphPlugin(init_fn); }
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Sep 06 19:12:29 GMT 2023 - 15K bytes - Viewed (1) -
tensorflow/c/eager/immediate_execution_context.h
virtual void ClearCachesAndThreadExecutors() = 0; // Initialize the step resource container for a training step. This is used // in current TF runtime. For tfrt, it is used by fallback op handler. virtual void StartStep() = 0; // Destroy the step resource container for a training step. virtual void EndStep() = 0; // Return the Eager Executor for current thread. Please note that Eager
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