1 | /* Copyright 2020 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 | // Common definitions related to TPUs. |
17 | |
18 | #ifndef TENSORFLOW_CORE_TPU_TPU_DEFS_H_ |
19 | #define TENSORFLOW_CORE_TPU_TPU_DEFS_H_ |
20 | |
21 | #include <array> |
22 | |
23 | #include "tensorflow/core/framework/types.pb.h" |
24 | |
25 | namespace tensorflow { |
26 | |
27 | // Name of the TPU device, which corresponds to a single core. |
28 | extern const char* const DEVICE_TPU_NODE; // "TPU"; |
29 | |
30 | // The TPU_REPLICATED_CORE device is a virtual device corresponding to one core |
31 | // of a replicated TPU computation. Only valid within the body of a |
32 | // TPUReplicate computation. |
33 | extern const char* const DEVICE_TPU_REPLICATED_CORE; |
34 | |
35 | // DEVICE_TPU_SYSTEM is now defined in tensorflow/core/framework/types.h/.cc |
36 | |
37 | // Name of the XLA_TPU_JIT compilation device, which is an internal device to |
38 | // compile graphs for TPU. Not registered as a device; no operators can be |
39 | // assigned to this device by a user. |
40 | extern const char* const DEVICE_TPU_XLA_JIT; // "XLA_TPU_JIT"; |
41 | |
42 | // Attribute used internally to pass "is_mirrored_variable" attribute on |
43 | // TPUReplicatedInput nodes to _TPUReplicate. |
44 | extern const char* const TPUREPLICATE_MIRRORED_VAR_INDICES_ATTR; |
45 | |
46 | // Attribute used internally to annoate ops which might consume TPU FastMem |
47 | // variable. |
48 | extern const char* const TPU_FAST_MEM_ATTR; // "_TPU_FAST_MEM" |
49 | |
50 | extern const char* const kTPUReplicateAttr; |
51 | extern const char* const kOutsideCompilationAttr; |
52 | |
53 | // Supported types for TPUs. |
54 | static constexpr std::array<DataType, 16> kTpuAllTypes = { |
55 | {DT_INT32, DT_UINT32, DT_HALF, DT_BFLOAT16, DT_FLOAT, DT_DOUBLE, DT_BOOL, |
56 | DT_COMPLEX64, DT_INT64, DT_UINT64, DT_QINT8, DT_QUINT8, DT_INT8, DT_UINT8, |
57 | DT_INT16, DT_UINT16}}; |
58 | |
59 | } // namespace tensorflow |
60 | |
61 | #endif // TENSORFLOW_CORE_TPU_TPU_DEFS_H_ |
62 | |