| /* 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/io_ops.cc. |
| |
| #include <string> |
| #include <vector> |
| |
| #include "tensorflow/core/framework/op_kernel.h" |
| #include "tensorflow/core/framework/tensor_shape.h" |
| #include "tensorflow/core/lib/core/errors.h" |
| #include "tensorflow/core/platform/env.h" |
| |
| namespace tensorflow { |
| |
| class MatchingFilesOp : public OpKernel { |
| public: |
| using OpKernel::OpKernel; |
| void Compute(OpKernelContext* context) override { |
| const Tensor* patterns_t; |
| // NOTE(ringwalt): Changing the input name "pattern" to "patterns" would |
| // break existing graphs. |
| OP_REQUIRES_OK(context, context->input("pattern", &patterns_t)); |
| OP_REQUIRES( |
| context, |
| TensorShapeUtils::IsScalar(patterns_t->shape()) || |
| TensorShapeUtils::IsVector(patterns_t->shape()), |
| errors::InvalidArgument( |
| "Input patterns tensor must be scalar or vector, but had shape: ", |
| patterns_t->shape().DebugString())); |
| const auto patterns = patterns_t->flat<tstring>(); |
| int num_patterns = patterns.size(); |
| int num_files = 0; |
| std::vector<std::vector<string>> all_fnames(num_patterns); |
| for (int i = 0; i < num_patterns; i++) { |
| OP_REQUIRES_OK(context, context->env()->GetMatchingPaths(patterns(i), |
| &all_fnames[i])); |
| num_files += all_fnames[i].size(); |
| } |
| Tensor* output_t = nullptr; |
| OP_REQUIRES_OK( |
| context, context->allocate_output("filenames", TensorShape({num_files}), |
| &output_t)); |
| auto output = output_t->vec<tstring>(); |
| int index = 0; |
| for (int i = 0; i < num_patterns; ++i) { |
| for (int j = 0; j < all_fnames[i].size(); j++) { |
| output(index++) = all_fnames[i][j]; |
| } |
| } |
| std::sort(&output(0), &output(0) + num_files); |
| } |
| }; |
| |
| REGISTER_KERNEL_BUILDER(Name("MatchingFiles").Device(DEVICE_CPU), |
| MatchingFilesOp); |
| |
| } // namespace tensorflow |