1 /* Copyright 2015 The TensorFlow Authors. All Rights Reserved. 2 3 Licensed under the Apache License, Version 2.0 (the "License"); 4 you may not use this file except in compliance with the License. 5 You may obtain a copy of the License at 6 7 http://www.apache.org/licenses/LICENSE-2.0 8 9 Unless required by applicable law or agreed to in writing, software 10 distributed under the License is distributed on an "AS IS" BASIS, 11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 See the License for the specific language governing permissions and 13 limitations under the License. 14 ==============================================================================*/ 15 16 // See docs in ../ops/data_flow_ops.cc. 17 18 #include <limits.h> 19 20 #include <vector> 21 22 #include "tensorflow/core/common_runtime/device.h" 23 #include "tensorflow/core/framework/device_base.h" 24 #include "tensorflow/core/framework/op_kernel.h" 25 #include "tensorflow/core/framework/register_types.h" 26 #include "tensorflow/core/framework/tensor.h" 27 #include "tensorflow/core/framework/tensor_shape.h" 28 #include "tensorflow/core/framework/types.h" 29 #include "tensorflow/core/lib/core/errors.h" 30 #include "tensorflow/core/lib/gtl/map_util.h" 31 #include "tensorflow/core/platform/errors.h" 32 #include "tensorflow/core/platform/logging.h" 33 #include "tensorflow/core/platform/macros.h" 34 #include "tensorflow/core/platform/mutex.h" 35 #include "tensorflow/core/platform/thread_annotations.h" 36 #include "tensorflow/core/platform/types.h" 37 38 namespace tensorflow { 39 40 class GetSessionHandleOp : public OpKernel { 41 public: GetSessionHandleOp(OpKernelConstruction * context)42 explicit GetSessionHandleOp(OpKernelConstruction* context) 43 : OpKernel(context) {} 44 Compute(OpKernelContext * ctx)45 void Compute(OpKernelContext* ctx) override { 46 const Tensor& val = ctx->input(0); 47 auto session_state = ctx->session_state(); 48 OP_REQUIRES(ctx, session_state != nullptr, 49 errors::FailedPrecondition( 50 "GetSessionHandle called on null session state")); 51 int64_t id = session_state->GetNewId(); 52 TensorStore::TensorAndKey tk{val, id, requested_device()}; 53 OP_REQUIRES_OK(ctx, ctx->tensor_store()->AddTensor(name(), tk)); 54 55 Tensor* handle = nullptr; 56 OP_REQUIRES_OK(ctx, ctx->allocate_output(0, TensorShape({}), &handle)); 57 if (ctx->expected_output_dtype(0) == DT_RESOURCE) { 58 ResourceHandle resource_handle = MakeResourceHandle<Tensor>( 59 ctx, SessionState::kTensorHandleResourceTypeName, 60 tk.GetHandle(name())); 61 resource_handle.set_maybe_type_name( 62 SessionState::kTensorHandleResourceTypeName); 63 handle->scalar<ResourceHandle>()() = resource_handle; 64 } else { 65 // Legacy behavior in V1. 66 handle->flat<tstring>().setConstant(tk.GetHandle(name())); 67 } 68 } 69 70 TF_DISALLOW_COPY_AND_ASSIGN(GetSessionHandleOp); 71 }; 72 73 REGISTER_KERNEL_BUILDER(Name("GetSessionHandle").Device(DEVICE_CPU), 74 GetSessionHandleOp); 75 REGISTER_KERNEL_BUILDER(Name("GetSessionHandleV2").Device(DEVICE_CPU), 76 GetSessionHandleOp); 77 78 #define REGISTER_GPU_KERNEL(type) \ 79 REGISTER_KERNEL_BUILDER(Name("GetSessionHandle") \ 80 .Device(DEVICE_GPU) \ 81 .HostMemory("handle") \ 82 .TypeConstraint<type>("T"), \ 83 GetSessionHandleOp) \ 84 REGISTER_KERNEL_BUILDER(Name("GetSessionHandleV2") \ 85 .Device(DEVICE_GPU) \ 86 .HostMemory("handle") \ 87 .TypeConstraint<type>("T"), \ 88 GetSessionHandleOp) 89 90 TF_CALL_NUMBER_TYPES(REGISTER_GPU_KERNEL); 91 REGISTER_GPU_KERNEL(bool); 92 #undef REGISTER_GPU_KERNEL 93 94 class GetSessionTensorOp : public OpKernel { 95 public: GetSessionTensorOp(OpKernelConstruction * context)96 explicit GetSessionTensorOp(OpKernelConstruction* context) 97 : OpKernel(context) {} 98 Compute(OpKernelContext * ctx)99 void Compute(OpKernelContext* ctx) override { 100 const Tensor& handle = ctx->input(0); 101 const string& name = handle.scalar<tstring>()(); 102 Tensor val; 103 auto session_state = ctx->session_state(); 104 OP_REQUIRES(ctx, session_state != nullptr, 105 errors::FailedPrecondition( 106 "GetSessionTensor called on null session state")); 107 OP_REQUIRES_OK(ctx, session_state->GetTensor(name, &val)); 108 ctx->set_output(0, val); 109 } 110 111 TF_DISALLOW_COPY_AND_ASSIGN(GetSessionTensorOp); 112 }; 113 114 REGISTER_KERNEL_BUILDER(Name("GetSessionTensor").Device(DEVICE_CPU), 115 GetSessionTensorOp); 116 117 #define REGISTER_GPU_KERNEL(type) \ 118 REGISTER_KERNEL_BUILDER(Name("GetSessionTensor") \ 119 .Device(DEVICE_GPU) \ 120 .HostMemory("handle") \ 121 .TypeConstraint<type>("dtype"), \ 122 GetSessionTensorOp) 123 124 TF_CALL_NUMBER_TYPES(REGISTER_GPU_KERNEL); 125 REGISTER_GPU_KERNEL(bool); 126 #undef REGISTER_GPU_KERNEL 127 128 class DeleteSessionTensorOp : public OpKernel { 129 public: DeleteSessionTensorOp(OpKernelConstruction * context)130 explicit DeleteSessionTensorOp(OpKernelConstruction* context) 131 : OpKernel(context) {} 132 Compute(OpKernelContext * ctx)133 void Compute(OpKernelContext* ctx) override { 134 const Tensor& handle = ctx->input(0); 135 const string& name = handle.scalar<tstring>()(); 136 auto session_state = ctx->session_state(); 137 OP_REQUIRES(ctx, session_state != nullptr, 138 errors::FailedPrecondition( 139 "DeleteSessionTensor called on null session state")); 140 OP_REQUIRES_OK(ctx, session_state->DeleteTensor(name)); 141 } 142 143 TF_DISALLOW_COPY_AND_ASSIGN(DeleteSessionTensorOp); 144 }; 145 146 REGISTER_KERNEL_BUILDER(Name("DeleteSessionTensor").Device(DEVICE_CPU), 147 DeleteSessionTensorOp); 148 REGISTER_KERNEL_BUILDER( 149 Name("DeleteSessionTensor").Device(DEVICE_GPU).HostMemory("handle"), 150 DeleteSessionTensorOp); 151 152 } // namespace tensorflow 153