1/* Copyright 2015 The TensorFlow Authors. All Rights Reserved.
2
3Licensed under the Apache License, Version 2.0 (the "License");
4you may not use this file except in compliance with the License.
5You may obtain a copy of the License at
6
7 http://www.apache.org/licenses/LICENSE-2.0
8
9Unless required by applicable law or agreed to in writing, software
10distributed under the License is distributed on an "AS IS" BASIS,
11WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12See the License for the specific language governing permissions and
13limitations under the License.
14==============================================================================*/
15
16#include "tensorflow/core/framework/op_kernel.h"
17#include "tensorflow/core/kernels/variable_ops.h"
18#include "tensorflow/core/lib/core/errors.h"
19#include "tensorflow/core/lib/core/refcount.h"
20#include "tensorflow/core/platform/mutex.h"
21#include "tensorflow/core/platform/types.h"
22
23namespace tensorflow {
24
25template <class T>
26class CountUpToOp : public OpKernel {
27 public:
28 explicit CountUpToOp(OpKernelConstruction* context) : OpKernel(context) {
29 OP_REQUIRES_OK(context, context->GetAttr("limit", &limit_));
30 }
31
32 void Compute(OpKernelContext* context) override {
33 T before_increment;
34 {
35 mutex_lock l(*context->input_ref_mutex(0));
36 Tensor tensor = context->mutable_input(0, true);
37 OP_REQUIRES(context, TensorShapeUtils::IsScalar(tensor.shape()),
38 errors::InvalidArgument("input is not a scalar: ",
39 tensor.shape().DebugString()));
40 T* ptr = &tensor.scalar<T>()();
41 before_increment = *ptr;
42 if (*ptr >= limit_) {
43 context->SetStatus(errors::OutOfRange("Reached limit of ", limit_));
44 return;
45 }
46 ++*ptr;
47 }
48 // Output if no error.
49 Tensor* out_tensor;
50 OP_REQUIRES_OK(context, context->allocate_output("output", TensorShape({}),
51 &out_tensor));
52 out_tensor->scalar<T>()() = before_increment;
53 }
54
55 private:
56 T limit_;
57};
58
59template <class T>
60class ResourceCountUpToOp : public OpKernel {
61 public:
62 explicit ResourceCountUpToOp(OpKernelConstruction* context)
63 : OpKernel(context) {
64 OP_REQUIRES_OK(context, context->GetAttr("limit", &limit_));
65 OP_REQUIRES_OK(context, context->GetAttr("T", &dtype_));
66 }
67
68 void Compute(OpKernelContext* context) override {
69 core::RefCountPtr<Var> variable;
70 OP_REQUIRES_OK(context, LookupResource(context, HandleFromInput(context, 0),
71 &variable));
72 mutex_lock l(*variable->mu());
73 Tensor before_increment = *variable->tensor();
74 OP_REQUIRES(
75 context, TensorShapeUtils::IsScalar(before_increment.shape()),
76 errors::InvalidArgument("input is not a scalar: ",
77 before_increment.shape().DebugString()));
78 if (before_increment.scalar<T>()() >= limit_) {
79 context->SetStatus(errors::OutOfRange("Reached limit of ", limit_));
80 return;
81 }
82 // Allocate new buffer
83 AllocatorAttributes attr;
84 attr.set_gpu_compatible(true);
85 attr.set_nic_compatible(true);
86 OP_REQUIRES_OK(context, context->allocate_temp(dtype_, TensorShape({}),
87 variable->tensor(), attr));
88 variable->tensor()->scalar<T>()() = before_increment.scalar<T>()() + 1;
89 context->set_output(0, before_increment);
90 }
91
92 private:
93 T limit_;
94 DataType dtype_;
95};
96
97#define REGISTER(TYPE) \
98 REGISTER_KERNEL_BUILDER( \
99 Name("CountUpTo").TypeConstraint<TYPE>("T").Device(DEVICE_CPU), \
100 CountUpToOp<TYPE>) \
101 REGISTER_KERNEL_BUILDER( \
102 Name("ResourceCountUpTo").TypeConstraint<TYPE>("T").Device(DEVICE_CPU), \
103 ResourceCountUpToOp<TYPE>)
104
105REGISTER(int32);
106REGISTER(int64_t);
107
108#undef REGISTER
109
110} // namespace tensorflow
111