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tensorflow/tensorflow/core/kernels/session_ops.cc
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| /* Copyright 2015 The TensorFlow Authors. All Rights Reserved. | |
| Licensed under the Apache License, Version 2.0 (the "License"); | |
| you may not use this file except in compliance with the License. | |
| You may obtain a copy of the License at | |
| http://www.apache.org/licenses/LICENSE-2.0 | |
| Unless required by applicable law or agreed to in writing, software | |
| distributed under the License is distributed on an "AS IS" BASIS, | |
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| See the License for the specific language governing permissions and | |
| limitations under the License. | |
| ==============================================================================*/ | |
| // See docs in ../ops/data_flow_ops.cc. | |
| #include <limits.h> | |
| #include <vector> | |
| #include "tensorflow/core/common_runtime/device.h" | |
| #include "tensorflow/core/framework/device_base.h" | |
| #include "tensorflow/core/framework/op_kernel.h" | |
| #include "tensorflow/core/framework/register_types.h" | |
| #include "tensorflow/core/framework/tensor.h" | |
| #include "tensorflow/core/framework/tensor_shape.h" | |
| #include "tensorflow/core/framework/types.h" | |
| #include "tensorflow/core/lib/core/errors.h" | |
| #include "tensorflow/core/lib/gtl/map_util.h" | |
| #include "tensorflow/core/platform/errors.h" | |
| #include "tensorflow/core/platform/logging.h" | |
| #include "tensorflow/core/platform/macros.h" | |
| #include "tensorflow/core/platform/mutex.h" | |
| #include "tensorflow/core/platform/thread_annotations.h" | |
| #include "tensorflow/core/platform/types.h" | |
| namespace tensorflow { | |
| class GetSessionHandleOp : public OpKernel { | |
| public: | |
| explicit GetSessionHandleOp(OpKernelConstruction* context) | |
| : OpKernel(context) {} | |
| void Compute(OpKernelContext* ctx) override { | |
| const Tensor& val = ctx->input(0); | |
| auto session_state = ctx->session_state(); | |
| OP_REQUIRES(ctx, session_state != nullptr, | |
| errors::FailedPrecondition( | |
| "GetSessionHandle called on null session state")); | |
| int64_t id = session_state->GetNewId(); | |
| TensorStore::TensorAndKey tk{val, id, requested_device()}; | |
| OP_REQUIRES_OK(ctx, ctx->tensor_store()->AddTensor(name(), tk)); | |
| Tensor* handle = nullptr; | |
| OP_REQUIRES_OK(ctx, ctx->allocate_output(0, TensorShape({}), &handle)); | |
| if (ctx->expected_output_dtype(0) == DT_RESOURCE) { | |
| ResourceHandle resource_handle = MakeResourceHandle<Tensor>( | |
| ctx, SessionState::kTensorHandleResourceTypeName, | |
| tk.GetHandle(name())); | |
| resource_handle.set_maybe_type_name( | |
| SessionState::kTensorHandleResourceTypeName); | |
| handle->scalar<ResourceHandle>()() = resource_handle; | |
| } else { | |
| // Legacy behavior in V1. | |
| handle->flat<tstring>().setConstant(tk.GetHandle(name())); | |
| } | |
| } | |
| TF_DISALLOW_COPY_AND_ASSIGN(GetSessionHandleOp); | |
| }; | |
| REGISTER_KERNEL_BUILDER(Name("GetSessionHandle").Device(DEVICE_CPU), | |
| GetSessionHandleOp); | |
| REGISTER_KERNEL_BUILDER(Name("GetSessionHandleV2").Device(DEVICE_CPU), | |
| GetSessionHandleOp); | |
| #define REGISTER_DEFAULT_KERNEL(type) \ | |
| REGISTER_KERNEL_BUILDER(Name("GetSessionHandle") \ | |
| .Device(DEVICE_DEFAULT) \ | |
| .HostMemory("handle") \ | |
| .TypeConstraint<type>("T"), \ | |
| GetSessionHandleOp) \ | |
| REGISTER_KERNEL_BUILDER(Name("GetSessionHandleV2") \ | |
| .Device(DEVICE_DEFAULT) \ | |
| .HostMemory("handle") \ | |
| .TypeConstraint<type>("T"), \ | |
| GetSessionHandleOp) | |
| TF_CALL_NUMBER_TYPES(REGISTER_DEFAULT_KERNEL); | |
| REGISTER_DEFAULT_KERNEL(bool); | |
| #undef REGISTER_DEFAULT_KERNEL | |
| class GetSessionTensorOp : public OpKernel { | |
| public: | |
| explicit GetSessionTensorOp(OpKernelConstruction* context) | |
| : OpKernel(context) {} | |
| void Compute(OpKernelContext* ctx) override { | |
| const Tensor& handle = ctx->input(0); | |
| const string& name = handle.scalar<tstring>()(); | |
| Tensor val; | |
| auto session_state = ctx->session_state(); | |
| OP_REQUIRES(ctx, session_state != nullptr, | |
| errors::FailedPrecondition( | |
| "GetSessionTensor called on null session state")); | |
| OP_REQUIRES_OK(ctx, session_state->GetTensor(name, &val)); | |
| ctx->set_output(0, val); | |
| } | |
| TF_DISALLOW_COPY_AND_ASSIGN(GetSessionTensorOp); | |
| }; | |
| REGISTER_KERNEL_BUILDER(Name("GetSessionTensor").Device(DEVICE_CPU), | |
| GetSessionTensorOp); | |
| #define REGISTER_DEFAULT_KERNEL(type) \ | |
| REGISTER_KERNEL_BUILDER(Name("GetSessionTensor") \ | |
| .Device(DEVICE_DEFAULT) \ | |
| .HostMemory("handle") \ | |
| .TypeConstraint<type>("dtype"), \ | |
| GetSessionTensorOp) | |
| TF_CALL_NUMBER_TYPES(REGISTER_DEFAULT_KERNEL); | |
| REGISTER_DEFAULT_KERNEL(bool); | |
| #undef REGISTER_DEFAULT_KERNEL | |
| class DeleteSessionTensorOp : public OpKernel { | |
| public: | |
| explicit DeleteSessionTensorOp(OpKernelConstruction* context) | |
| : OpKernel(context) {} | |
| void Compute(OpKernelContext* ctx) override { | |
| const Tensor& handle = ctx->input(0); | |
| const string& name = handle.scalar<tstring>()(); | |
| auto session_state = ctx->session_state(); | |
| OP_REQUIRES(ctx, session_state != nullptr, | |
| errors::FailedPrecondition( | |
| "DeleteSessionTensor called on null session state")); | |
| OP_REQUIRES_OK(ctx, session_state->DeleteTensor(name)); | |
| } | |
| TF_DISALLOW_COPY_AND_ASSIGN(DeleteSessionTensorOp); | |
| }; | |
| REGISTER_KERNEL_BUILDER(Name("DeleteSessionTensor").Device(DEVICE_CPU), | |
| DeleteSessionTensorOp); | |
| REGISTER_KERNEL_BUILDER( | |
| Name("DeleteSessionTensor").Device(DEVICE_DEFAULT).HostMemory("handle"), | |
| DeleteSessionTensorOp); | |
| } // namespace tensorflow |