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 <iostream>
17#include "tensorflow/core/framework/op_kernel.h"
18#include "tensorflow/core/lib/core/status.h"
19#include "tensorflow/core/lib/strings/str_util.h"
20#include "tensorflow/core/platform/logging.h"
21
22namespace tensorflow {
23
24class AssertOp : public OpKernel {
25 public:
26  explicit AssertOp(OpKernelConstruction* ctx) : OpKernel(ctx) {
27    OP_REQUIRES_OK(ctx, ctx->GetAttr("summarize", &summarize_));
28  }
29
30  void Compute(OpKernelContext* ctx) override {
31    const Tensor& cond = ctx->input(0);
32    OP_REQUIRES(ctx, IsLegacyScalar(cond.shape()),
33                errors::InvalidArgument("In[0] should be a scalar: ",
34                                        cond.shape().DebugString()));
35
36    if (cond.scalar<bool>()()) {
37      return;
38    }
39    string msg = "assertion failed: ";
40    for (int i = 1; i < ctx->num_inputs(); ++i) {
41      strings::StrAppend(&msg, "[", ctx->input(i).SummarizeValue(summarize_),
42                         "]");
43      if (i < ctx->num_inputs() - 1) strings::StrAppend(&msg, " ");
44    }
45    ctx->SetStatus(errors::InvalidArgument(msg));
46  }
47
48 private:
49  int32 summarize_ = 0;
50};
51
52REGISTER_KERNEL_BUILDER(Name("Assert").Device(DEVICE_CPU), AssertOp);
53
54class PrintOp : public OpKernel {
55 public:
56  explicit PrintOp(OpKernelConstruction* ctx)
57      : OpKernel(ctx), call_counter_(0) {
58    OP_REQUIRES_OK(ctx, ctx->GetAttr("message", &message_));
59    OP_REQUIRES_OK(ctx, ctx->GetAttr("first_n", &first_n_));
60    OP_REQUIRES_OK(ctx, ctx->GetAttr("summarize", &summarize_));
61  }
62
63  void Compute(OpKernelContext* ctx) override {
64    if (IsRefType(ctx->input_dtype(0))) {
65      ctx->forward_ref_input_to_ref_output(0, 0);
66    } else {
67      ctx->set_output(0, ctx->input(0));
68    }
69    if (first_n_ >= 0) {
70      mutex_lock l(mu_);
71      if (call_counter_ >= first_n_) return;
72      call_counter_++;
73    }
74    string msg;
75    strings::StrAppend(&msg, message_);
76    for (int i = 1; i < ctx->num_inputs(); ++i) {
77      strings::StrAppend(&msg, "[", ctx->input(i).SummarizeValue(summarize_),
78                         "]");
79    }
80    std::cerr << msg << std::endl;
81  }
82
83 private:
84  mutex mu_;
85  int64 call_counter_ GUARDED_BY(mu_) = 0;
86  int64 first_n_ = 0;
87  int32 summarize_ = 0;
88  string message_;
89};
90
91REGISTER_KERNEL_BUILDER(Name("Print").Device(DEVICE_CPU), PrintOp);
92
93}  // end namespace tensorflow
94