| /* Copyright 2017 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/image_ops.cc |
| |
| #include <memory> |
| #include "tensorflow/core/framework/bounds_check.h" |
| #include "tensorflow/core/framework/op_kernel.h" |
| #include "tensorflow/core/framework/register_types.h" |
| #include "tensorflow/core/framework/tensor.h" |
| #include "tensorflow/core/framework/tensor_shape.h" |
| #include "tensorflow/core/framework/types.h" |
| #include "tensorflow/core/lib/core/status.h" |
| #include "tensorflow/core/lib/jpeg/jpeg_mem.h" |
| #include "tensorflow/core/platform/logging.h" |
| |
| namespace tensorflow { |
| |
| // Extract the shape of a JPEG image. |
| template <typename T> |
| class ExtractJpegShapeOp : public OpKernel { |
| public: |
| explicit ExtractJpegShapeOp(OpKernelConstruction* context) |
| : OpKernel(context) {} |
| |
| void Compute(OpKernelContext* context) override { |
| // Get input content. |
| const Tensor& contents = context->input(0); |
| OP_REQUIRES(context, TensorShapeUtils::IsScalar(contents.shape()), |
| errors::InvalidArgument("contents must be scalar, got shape ", |
| contents.shape().DebugString())); |
| const StringPiece input = contents.scalar<string>()(); |
| OP_REQUIRES(context, input.size() <= std::numeric_limits<int>::max(), |
| errors::InvalidArgument("JPEG contents are too large for int: ", |
| input.size())); |
| |
| // Call GetImageInfo to get image shape. |
| int width, height, components; |
| OP_REQUIRES( |
| context, |
| jpeg::GetImageInfo(input.data(), input.size(), &width, &height, |
| &components), |
| errors::InvalidArgument("Invalid JPEG data, size ", input.size())); |
| // Allocate tensor and set shape size. |
| Tensor* image_shape = nullptr; |
| OP_REQUIRES_OK(context, |
| context->allocate_output(0, TensorShape({3}), &image_shape)); |
| auto image_shape_data = image_shape->tensor<T, 1>(); |
| image_shape_data(0) = height; |
| image_shape_data(1) = width; |
| image_shape_data(2) = components; |
| } |
| }; |
| |
| #define REGISTER_KERNELS(type) \ |
| REGISTER_KERNEL_BUILDER(Name("ExtractJpegShape") \ |
| .Device(DEVICE_CPU) \ |
| .TypeConstraint<type>("output_type"), \ |
| ExtractJpegShapeOp<type>) |
| |
| TF_CALL_int32(REGISTER_KERNELS); |
| TF_CALL_int64(REGISTER_KERNELS); |
| #undef REGISTER_KERNELS |
| |
| } // namespace tensorflow |