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Results 1 - 10 of 18 for deserialized (0.23 sec)
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tensorflow/c/eager/c_api_experimental_test.cc
client_job->mutable_tasks()->insert( {0, strings::StrCat("localhost:", client_port)}); server_def.set_job_name("localhost"); auto serialized = server_def.SerializeAsString(); TFE_ContextSetServerDef(ctx, 0, serialized.data(), serialized.size(), status); EXPECT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status); EXPECT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 03:14:26 GMT 2023 - 31.5K bytes - Viewed (1) -
tensorflow/c/eager/c_api_test.cc
->mutable_rewrite_options() ->set_min_graph_nodes(-1); string serialized_config; ASSERT_TRUE(config.SerializeToString(&serialized_config)); TFE_OpSetAttrString( op, "config_proto", reinterpret_cast<const void*>(serialized_config.c_str()), serialized_config.length()); } if (use_tfrt) { // Set some test-only graph compiler options.
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/c_api_test.cc
TF_ASSERT_OK(OpRegistry::Global()->LookUpOpDef("Add", &expected_op_def)); string expected_serialized; expected_op_def->SerializeToString(&expected_serialized); string actual_string(reinterpret_cast<const char*>(buffer->data), buffer->length); EXPECT_EQ(expected_serialized, actual_string); TF_GraphGetOpDef(graph, "MyFakeOp", buffer, status);
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/eager/parallel_device/parallel_device_remote_test.cc
server_def, tensorflow::Env::Default(), &worker_server2) .ok()); ASSERT_TRUE(worker_server2->Start().ok()); TFE_ContextSetServerDef(context.get(), 0, serialized.data(), serialized.size(), status.get()); EXPECT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get()); BasicTestsForTwoDevices(context.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
int* num_retvals, TF_Status* status); // Add a function (serialized FunctionDef protocol buffer) to ctx so // that it can be invoked using TFE_Execute. TF_CAPI_EXPORT extern void TFE_ContextAddFunctionDef( TFE_Context* ctx, const char* serialized_function_def, size_t size, TF_Status* status); // Adds a function (created from TF_GraphToFunction or
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 22.8K bytes - Viewed (1) -
tensorflow/c/c_api.cc
tensorflow::core::CppShapeInferenceResult::HandleData handle_data; if (!handle_data.ParseFromArray(proto, proto_len)) { status->status = absl::InvalidArgumentError("Couldn't deserialize HandleData proto"); return; } DCHECK(handle_data.is_set()); tensorflow::mutex_lock l(graph->mu); tensorflow::shape_inference::InferenceContext* ic =
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/c_api_experimental.h
TF_CAPI_EXPORT extern void TFE_OpAttrsSerialize(const TFE_OpAttrs* attrs, TF_Buffer* buf, TF_Status* status); // Set an op's attribute from a serialized AttrValue protocol buffer. // // Analogous to TF_SetAttrValueProto for building graph operations. TF_CAPI_EXPORT extern void TFE_OpSetAttrValueProto(const TFE_Op* op,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test_util.cc
TFE_Context* ctx = TFE_NewContext(opts, status); EXPECT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status); TFE_ContextSetServerDefWithTimeout(ctx, 0, serialized_server_def.data(), serialized_server_def.size(), init_timeout_in_ms, status, /*clear_existing_contexts=*/false);
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) -
SECURITY.md
come with the compiler are not designed to be used with untrusted data and should be used with caution when working with untrusted models. ### Saved graphs and checkpoints When loading untrusted serialized computation graphs (in form of a `GraphDef`, `SavedModel`, or equivalent on-disk format), the set of computation primitives available to TensorFlow is powerful enough that you should assume that the
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Sun Oct 01 06:06:35 GMT 2023 - 9.6K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_context.h
virtual Status AddDevices(std::vector<std::unique_ptr<Device>> devices) = 0; // Block until all pending nodes are finished. virtual Status AsyncWait() = 0; // Add a function (serialized FunctionDef protocol buffer) so that it can // be executed as an op. Return error if the function with the same name // already exists. virtual Status AddFunctionDef(const FunctionDef& fdef) = 0;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 06 08:34:00 GMT 2023 - 12.3K bytes - Viewed (0)