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tensorflow/c/c_api_test.cc
// Create a simple graph. Placeholder(graph, s); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); ASSERT_TRUE(TF_GraphOperationByName(graph, "feed") != nullptr); TF_Operation* oper = ScalarConst(3, graph, s); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); ASSERT_TRUE(TF_GraphOperationByName(graph, "scalar") != nullptr); Neg(oper, graph, s); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
tensorflow/c/experimental/gradients/nn_grad_test.cc
ASSERT_EQ(errors::OK, status_.code()) << status_.message(); Y.reset(Y_raw); } std::vector<AbstractTensorHandle*> outputs(1); status_ = RunModel(ReluGradModel, immediate_execution_ctx_.get(), {Y.get()}, absl::MakeSpan(outputs), UseFunction()); ASSERT_EQ(errors::OK, status_.code()) << status_.message();
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) -
tensorflow/c/experimental/gradients/array_grad_test.cc
status_ = StatusFromTF_Status(status.get()); ASSERT_EQ(errors::OK, status_.code()) << status_.message(); { AbstractContext* ctx_raw = nullptr; status_ = BuildImmediateExecutionContext(std::get<1>(GetParam()), &ctx_raw); ASSERT_EQ(errors::OK, status_.code()) << status_.message(); immediate_execution_ctx_.reset(ctx_raw); }
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
tensorflow/c/c_api.cc
if (n == nullptr) continue; // Adding the gradients to the graph can alter the prefix to prevent // name collisions only if this prefix has not been provided explicitly // by the user. If it was provided, assert that it remained intact. if (prefix != nullptr && !absl::StartsWith(n->name(), prefix_cmp)) { status->status = tensorflow::errors::Internal(
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) -
tensorflow/c/eager/unified_api_test.cc
ASSERT_EQ(errors::OK, s.code()) << s.message(); s = dyn_cast<tracing::TracingContext>(ctx.get())->AddParameter( DT_FLOAT, shape, &x_raw); ASSERT_EQ(errors::OK, s.code()) << s.message(); x.reset(x_raw); } PartialTensorShape shape; Status s = x->Shape(&shape); ASSERT_EQ(errors::OK, s.code()) << s.message(); ASSERT_FALSE(shape.unknown_rank());
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 6.7K bytes - Viewed (0) -
tensorflow/c/eager/unified_api_testutil.cc
if (model_outputs[i]) { output_list.outputs.emplace_back(model_outputs[i]); output_list.expected_num_outputs += 1; } else { null_indices.insert(i); } } TF_RETURN_IF_ERROR(dyn_cast<tracing::TracingContext>(func_ctx.get()) ->Finalize(&output_list, &func)); scoped_func.reset(func);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test_util.cc
tensorflow::JobDef* job_def = cluster_def->add_job(); job_def->set_name(job_name); for (int i = 0; i < num_tasks; i++) { int port = tensorflow::testing::PickUnusedPortOrDie(); job_def->mutable_tasks()->insert( {i, tensorflow::strings::StrCat("localhost:", port)}); LOG(INFO) << "Picked test port: " << port << " for job: " << job_name << ", task: " << i; } return server_def; }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 23.5K bytes - Viewed (2) -
RELEASE.md
## Bug Fixes and Other Changes * tf.data: * tf.data users can now represent, get, and set options of TensorFlow input pipelines using `tf.data.Options()`, `tf.data.Dataset.options()`, and `tf.data.Dataset.with_options()` respectively. * New `tf.data.Dataset.reduce()` API allows users to reduce a finite dataset to a single element using a user-provided reduce function.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8) -
tensorflow/c/experimental/gradients/grad_test_helper.cc
auto s = GetValue(t, &analytical_tensor); ASSERT_EQ(errors::OK, s.code()) << s.message(); int64_t num_elem_analytical = 1; auto num_dims_analytical = TF_NumDims(analytical_tensor); ASSERT_EQ(dims.size(), num_dims_analytical); for (int j = 0; j < num_dims_analytical; j++) { auto dim_analytical = TF_Dim(analytical_tensor, j); ASSERT_EQ(dims[j], dim_analytical); num_elem_analytical *= dim_analytical;
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
TF_DataType value) { auto iter = builder->attr_names.insert(attr_name).first; builder->Set(*iter, static_cast<tensorflow::DataType>(value)); } void TF_AttrBuilderSetTypeList(TF_AttrBuilder* builder, const char* attr_name, const TF_DataType* values, int num_values) { auto iter = builder->attr_names.insert(attr_name).first;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0)