1 files changed, 72 insertions, 0 deletions
diff --git a/tensorflow/core/kernels/decode_jpeg_op.cc b/tensorflow/core/kernels/decode_jpeg_op.cc
new file mode 100644
index 0000000000..e41d3f3e11
--- /dev/null
+++ b/tensorflow/core/kernels/decode_jpeg_op.cc
@@ -0,0 +1,72 @@
+// See docs in ../ops/image_ops.cc
+
+#include <memory>
+#include "tensorflow/core/framework/op_kernel.h"
+#include "tensorflow/core/framework/register_types.h"
+#include "tensorflow/core/framework/types.h"
+#include "tensorflow/core/platform/logging.h"
+#include "tensorflow/core/public/status.h"
+#include "tensorflow/core/public/tensor.h"
+#include "tensorflow/core/public/tensor_shape.h"
+#include "tensorflow/core/lib/jpeg/jpeg_mem.h"
+
+namespace tensorflow {
+
+// Decode the contents of a JPEG file
+class DecodeJpegOp : public OpKernel {
+ public:
+  explicit DecodeJpegOp(OpKernelConstruction* context) : OpKernel(context) {
+    OP_REQUIRES_OK(context, context->GetAttr("channels", &flags_.components));
+    OP_REQUIRES(context, flags_.components == 0 || flags_.components == 1 ||
+                             flags_.components == 3,
+                errors::InvalidArgument("channels must be 0, 1, or 3, got ",
+                                        flags_.components));
+    OP_REQUIRES_OK(context, context->GetAttr("ratio", &flags_.ratio));
+    OP_REQUIRES(context, flags_.ratio == 1 || flags_.ratio == 2 ||
+                             flags_.ratio == 4 || flags_.ratio == 8,
+                errors::InvalidArgument("ratio must be 1, 2, 4, or 8, got ",
+                                        flags_.ratio));
+    OP_REQUIRES_OK(
+        context, context->GetAttr("fancy_upscaling", &flags_.fancy_upscaling));
+    OP_REQUIRES_OK(context,
+                   context->GetAttr("try_recover_truncated",
+                                    &flags_.try_recover_truncated_jpeg));
+    OP_REQUIRES_OK(context, context->GetAttr("acceptable_fraction",
+                                             &flags_.min_acceptable_fraction));
+  }
+
+  void Compute(OpKernelContext* context) override {
+    const Tensor& contents = context->input(0);
+    OP_REQUIRES(context, TensorShapeUtils::IsScalar(contents.shape()),
+                errors::InvalidArgument("contents must be scalar, got shape ",
+                                        contents.shape().ShortDebugString()));
+    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()));
+
+    // Decode image, allocating tensor once the image size is known
+    Tensor* output = NULL;
+    OP_REQUIRES(
+        context,
+        jpeg::Uncompress(
+            input.data(), input.size(), flags_, NULL,
+            [=, &output](int width, int height, int channels) -> uint8* {
+              Status status(context->allocate_output(
+                  0, TensorShape({height, width, channels}), &output));
+              if (!status.ok()) {
+                VLOG(1) << status;
+                context->SetStatus(status);
+                return nullptr;
+              }
+              return output->flat<uint8>().data();
+            }),
+        errors::InvalidArgument("Invalid JPEG data, size ", input.size()));
+  }
+
+ private:
+  jpeg::UncompressFlags flags_;
+};
+REGISTER_KERNEL_BUILDER(Name("DecodeJpeg").Device(DEVICE_CPU), DecodeJpegOp);
+
+}  // namespace tensorflow