1 | /* Copyright 2018 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 | #include <iostream> |
17 | #include "absl/strings/str_split.h" |
18 | #include "tensorflow/core/framework/op_kernel.h" |
19 | #include "tensorflow/core/lib/core/status.h" |
20 | #include "tensorflow/core/lib/strings/str_util.h" |
21 | #include "tensorflow/core/platform/logging.h" |
22 | |
23 | namespace tensorflow { |
24 | |
25 | class StringFormatOp : public OpKernel { |
26 | public: |
27 | explicit StringFormatOp(OpKernelConstruction* ctx) : OpKernel(ctx) { |
28 | string template_; |
29 | OP_REQUIRES_OK(ctx, ctx->GetAttr("template" , &template_)); |
30 | OP_REQUIRES_OK(ctx, ctx->GetAttr("placeholder" , &placeholder_)); |
31 | OP_REQUIRES_OK(ctx, ctx->GetAttr("summarize" , &summarize_)); |
32 | |
33 | split_template_ = absl::StrSplit(template_, placeholder_); |
34 | int64_t num_placeholders = split_template_.size() - 1; |
35 | OP_REQUIRES(ctx, ctx->num_inputs() == num_placeholders, |
36 | errors::InvalidArgument(strings::StrCat( |
37 | "num placeholders in template and num inputs must match: " , |
38 | num_placeholders, " vs. " , ctx->num_inputs()))); |
39 | } |
40 | |
41 | void Compute(OpKernelContext* ctx) override { |
42 | Tensor* formatted_string = nullptr; |
43 | OP_REQUIRES_OK(ctx, |
44 | ctx->allocate_output(0, TensorShape({}), &formatted_string)); |
45 | |
46 | string msg; |
47 | strings::StrAppend(&msg, split_template_[0].c_str()); |
48 | for (int i = 0; i < ctx->num_inputs(); ++i) { |
49 | strings::StrAppend(&msg, ctx->input(i).SummarizeValue(summarize_, true)); |
50 | strings::StrAppend(&msg, split_template_[i + 1].c_str()); |
51 | } |
52 | |
53 | formatted_string->scalar<tstring>()() = std::move(msg); |
54 | } |
55 | |
56 | private: |
57 | int32 summarize_ = 0; |
58 | string placeholder_; |
59 | std::vector<std::string> split_template_; |
60 | }; |
61 | |
62 | REGISTER_KERNEL_BUILDER(Name("StringFormat" ).Device(DEVICE_CPU), |
63 | StringFormatOp); |
64 | |
65 | } // end namespace tensorflow |
66 | |