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tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
// `::testing::TempDir()`, will use a RNG component and the test name. This // ensures that two consecutive runs are unlikely to clash. class ModularFileSystemTest : public ::testing::TestWithParam<std::string> { public: // Initializes `root_dir_` to a unique value made of `::testing::TempDir()`, a // static random value unique for all the tests in one invocation, and the // current test name. //
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 27 20:25:58 GMT 2022 - 71K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental_test.cc
namespace { // The tests are parameterized on: // - a string representing the tracing implementation: "mlir" or "graphdef". // - a boolean that when true enables TFRT as the execution engine. class UnifiedCAPI : public ::testing::TestWithParam<std::tuple<const char*, bool>> { protected: void SetUp() override { TF_StatusPtr status(TF_NewStatus()); TF_SetTracingImplementation(std::get<0>(GetParam()), status.get());
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 19 21:44:52 GMT 2023 - 39.1K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test.cc
.SetIsDistributedCommunication() .Doc(R"doc(Test communication op throwing Unavailable error.)doc"); // Kernel that throws an Unavailable error. class TestUnavailableErrorOp : public tensorflow::OpKernel { public: explicit TestUnavailableErrorOp(tensorflow::OpKernelConstruction* ctx) : tensorflow::OpKernel(ctx) {} void Compute(tensorflow::OpKernelContext* ctx) override {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 20:50:20 GMT 2023 - 94.6K bytes - Viewed (1) -
tensorflow/c/experimental/gradients/nn_grad.cc
using tensorflow::ops::BiasAddGrad; using tensorflow::ops::Mul; using tensorflow::ops::ReluGrad; namespace tensorflow { namespace gradients { namespace { class ReluGradientFunction : public GradientFunction { public: explicit ReluGradientFunction(vector<AbstractTensorHandle*> f_outputs) : forward_outputs_(f_outputs) { for (auto output : forward_outputs_) { if (output) { output->Ref(); }
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/eager/graph_function.h
#include "tensorflow/core/platform/refcount.h" namespace tensorflow { namespace tracing { namespace graph { using tensorflow::AbstractFunction; // Thin wrapper around a FunctionDef. class GraphFunction : public AbstractFunction { public: explicit GraphFunction(FunctionDef fdef); ~GraphFunction() override; // GraphFunction maybe stay alive for the duration of the returned // FunctionDef.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Mar 04 19:49:06 GMT 2024 - 1.8K bytes - Viewed (0) -
ci/official/README.md
# Ex. macos_arm64 -- arm64 MacOS platform # 3. Add modifiers. Some modifiers for local execution are: # Ex. disk_cache -- Use a local cache # Ex. public_cache -- Use TF's public cache (read-only) # Ex. public_cache_push -- Use TF's public cache (read and write, Googlers only) # Ex. rbe -- Use RBE for faster builds (Googlers only; see below) # Ex. no_docker -- Disable docker on enabled platforms
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tensorflow/c/BUILD
], ) cc_library( name = "tf_attrtype", hdrs = ["tf_attrtype.h"], visibility = ["//visibility:public"], ) cc_library( name = "c_api_macros_hdrs", hdrs = [ "c_api_macros.h", ], visibility = ["//visibility:public"], ) cc_library( name = "c_api_macros", hdrs = [ "c_api_macros.h", "c_api_macros_internal.h",
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tensorflow/c/experimental/filesystem/BUILD
licenses = ["notice"], ) # This is only for plugins cc_library( name = "filesystem_interface", hdrs = ["filesystem_interface.h"], visibility = ["//visibility:public"], deps = [ "//tensorflow/c:tf_file_statistics", "//tensorflow/c:tf_status", ], ) # Core TensorFlow depends on this, will be included in main library cc_library(
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tensorflow/c/eager/immediate_execution_distributed_manager.h
class CoordinationServiceAgent; } namespace tensorflow { class ImmediateExecutionContext; class ServerDef; class WorkerEnv; class WorkerCacheInterface; class ImmediateExecutionDistributedManager { public: virtual ~ImmediateExecutionDistributedManager() {} // Set up distributed execution environment on local and remote tasks. // When `reset_context` is true, initialize new cluster context state based
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tensorflow/c/eager/immediate_execution_operation.h
struct TFE_Op; namespace tensorflow { class ImmediateExecutionContext; class AbstractOpAttrs; // Abstract interface to an operation. class ImmediateExecutionOperation : public AbstractOperation { public: virtual void Clear() = 0; // Returns the inputs of this op. virtual absl::Span<ImmediateExecutionTensorHandle* const> GetInputs() const = 0; virtual Status SetInput(size_t index,
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