1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
|
/* 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/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);
int64 id = ctx->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<string>().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_GPU_KERNEL(type) \
REGISTER_KERNEL_BUILDER(Name("GetSessionHandle") \
.Device(DEVICE_GPU) \
.HostMemory("handle") \
.TypeConstraint<type>("T"), \
GetSessionHandleOp) \
REGISTER_KERNEL_BUILDER(Name("GetSessionHandleV2") \
.Device(DEVICE_GPU) \
.HostMemory("handle") \
.TypeConstraint<type>("T"), \
GetSessionHandleOp)
TF_CALL_NUMBER_TYPES(REGISTER_GPU_KERNEL);
REGISTER_GPU_KERNEL(bool);
#undef REGISTER_GPU_KERNEL
#ifdef TENSORFLOW_USE_SYCL
#define REGISTER_SYCL_KERNEL(type) \
REGISTER_KERNEL_BUILDER(Name("GetSessionHandle") \
.Device(DEVICE_SYCL) \
.HostMemory("handle") \
.TypeConstraint<type>("T"), \
GetSessionHandleOp) \
REGISTER_KERNEL_BUILDER(Name("GetSessionHandleV2") \
.Device(DEVICE_SYCL) \
.HostMemory("handle") \
.TypeConstraint<type>("T"), \
GetSessionHandleOp)
TF_CALL_NUMBER_TYPES(REGISTER_SYCL_KERNEL);
REGISTER_SYCL_KERNEL(bool);
#undef REGISTER_SYCL_KERNEL
#endif // TENSORFLOW_USE_SYCL
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<string>()();
Tensor val;
OP_REQUIRES_OK(ctx, 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_GPU_KERNEL(type) \
REGISTER_KERNEL_BUILDER(Name("GetSessionTensor") \
.Device(DEVICE_GPU) \
.HostMemory("handle") \
.TypeConstraint<type>("dtype"), \
GetSessionTensorOp)
TF_CALL_NUMBER_TYPES(REGISTER_GPU_KERNEL);
REGISTER_GPU_KERNEL(bool);
#undef REGISTER_GPU_KERNEL
#ifdef TENSORFLOW_USE_SYCL
#define REGISTER_SYCL_KERNEL(type) \
REGISTER_KERNEL_BUILDER(Name("GetSessionTensor") \
.Device(DEVICE_SYCL) \
.HostMemory("handle") \
.TypeConstraint<type>("dtype"), \
GetSessionTensorOp)
TF_CALL_NUMBER_TYPES(REGISTER_SYCL_KERNEL);
REGISTER_SYCL_KERNEL(bool);
#undef REGISTER_SYCL_KERNEL
#endif // TENSORFLOW_USE_SYCL
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<string>()();
OP_REQUIRES_OK(ctx, 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_GPU).HostMemory("handle"),
DeleteSessionTensorOp);
#ifdef TENSORFLOW_USE_SYCL
REGISTER_KERNEL_BUILDER(
Name("DeleteSessionTensor").Device(DEVICE_SYCL).HostMemory("handle"),
DeleteSessionTensorOp);
#endif // TENSORFLOW_USE_SYCL
} // namespace tensorflow
|
