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tensorflow/c/experimental/gradients/nn_grad.cc
Status Compute(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> grad_outputs, absl::Span<AbstractTensorHandle*> grad_inputs) override { /* Given upstream grad U and a BiasAdd: A + bias, the gradients are: * * dA = U * dbias = reduceSum(U, dims = channel_dim) */ AbstractTensorHandle* upstream_grad = grad_outputs[0];
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/c_api_unified_experimental.cc
void TF_SetTracingImplementation(const char* name, TF_Status* s) { tsl::Set_TF_Status_from_Status(s, SetDefaultTracingEngine(name)); } // Creates a new TensorFlow function, it is an execution context attached to a // given tracing context. TF_ExecutionContext* TF_CreateFunction(const char* fn_name, TF_Status* s) { return wrap(CreateTracingExecutionContext(fn_name, s)); } TF_AbstractFunction* TF_FinalizeFunction(TF_ExecutionContext* ctx,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 9K bytes - Viewed (0) -
tensorflow/c/eager/gradient_checker.cc
// ================== Helper functions ================= // Fills data with values [start,end) with given step size. void Range(vector<int32_t>* data, int32_t start, int32_t end, int32_t step = 1) { for (int32_t i = start; i < end; i += step) { (*data)[i] = i; } } // Fills out_dims with the dimensions of the given tensor. void GetDims(const TF_Tensor* t, int64_t* out_dims) { int num_dims = TF_NumDims(t);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7.3K bytes - Viewed (0) -
tensorflow/c/c_api_function.cc
tensorflow::FunctionDef fdef; bool success = fdef.ParseFromArray(proto, proto_len); if (!success) { status->status = InvalidArgument( "Invalid FunctionDef given to TF_FunctionImportFunctionDef"); return nullptr; } TF_Function* func = new TF_Function(); func->record = new tensorflow::FunctionRecord(std::move(fdef), {}, false); status->status = absl::OkStatus();
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 13.6K bytes - Viewed (2) -
tensorflow/c/eager/c_api_distributed_test.cc
std::vector<std::string>* control_ret_node_names, bool* control_rets_updated) override { // Inject failure to function instantiation if finding a node that contains // the given node name (error_node_) and requested device (error_device_). for (const auto node : graph->get()->nodes()) { if (node->name().find(error_node_) != string::npos && node->requested_device() == error_device_) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 23.5K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/math_grad.cc
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 15.2K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/modular_filesystem_registration.cc
"Trying to register filesystem without `cleanup` operation on writable " "files"); return OkStatus(); } // Validates the read only memory region operations given by the plugin. static Status ValidateHelper(const TF_ReadOnlyMemoryRegionOps* ops) { if (ops == nullptr) { // read only memory region support is always optional return OkStatus(); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 07 22:08:43 GMT 2023 - 12.8K bytes - Viewed (0) -
tensorflow/c/c_api_experimental_test.cc
~ShapeInferenceTest() override { TFE_DeleteContextOptions(tfe_context_options_); TFE_DeleteContext(tfe_context_); TF_DeleteStatus(status_); } // Checks the expected result of shape inference for the given `op`. void CheckOutputShapes( TFE_Op* op, const std::vector<absl::optional<std::vector<int64_t>>>& input_shapes_vec, const std::vector<TF_Tensor*>& input_tensors,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jan 17 22:27:52 GMT 2023 - 13.1K bytes - Viewed (1) -
tensorflow/c/eager/c_api.cc
using tensorflow::string; namespace { string DeviceName(const tensorflow::Device* d) { return (d == nullptr) ? "cpu:0" : d->name(); } // Annotate eager runtime construction context to the given `function_def` as // an attribute. void AnnotateEagerRuntimeConstructionContext( tensorflow::FunctionDef& function_def) { tensorflow::AttrValue value; SetAttrValue("kEagerRuntime", &value);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 43.9K bytes - Viewed (2) -
tensorflow/c/c_api_function_test.cc
char proto[] = {0x0, 0x0, 0x0, 0x0}; func_ = TF_FunctionImportFunctionDef(proto, 4, s_); EXPECT_TRUE(func_ == nullptr); EXPECT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(s_)); EXPECT_EQ(string("Invalid FunctionDef given to TF_FunctionImportFunctionDef"), string(TF_Message(s_))); } TEST_F(CApiFunctionTest, Attribute) { DefineFunction(func_name_, &func_); // Get non existent attribute
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 20 22:08:54 GMT 2023 - 63.6K bytes - Viewed (6)