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authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2018-01-26 05:14:47 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-01-26 05:19:04 -0800
commitc8c2e4932afccb594bfe05e22facea1aba9dd454 (patch)
tree5a78a1dd985c32c4924fc68cb2e48f5b639eb598 /tensorflow/core/ops/image_ops.cc
parent7578785dff668c63ba6b5423a6bf2a5984c7b409 (diff)
Remove dead code
PiperOrigin-RevId: 183374040
Diffstat (limited to 'tensorflow/core/ops/image_ops.cc')
-rw-r--r--tensorflow/core/ops/image_ops.cc36
1 files changed, 0 insertions, 36 deletions
diff --git a/tensorflow/core/ops/image_ops.cc b/tensorflow/core/ops/image_ops.cc
index 7484ebb078..ef2ac267cc 100644
--- a/tensorflow/core/ops/image_ops.cc
+++ b/tensorflow/core/ops/image_ops.cc
@@ -25,42 +25,6 @@ using shape_inference::ShapeHandle;
namespace {
-const char kDecodeJpegCommonDocStr[] = R"doc(
-The attr `channels` indicates the desired number of color channels for the
-decoded image.
-
-Accepted values are:
-
-* 0: Use the number of channels in the JPEG-encoded image.
-* 1: output a grayscale image.
-* 3: output an RGB image.
-
-If needed, the JPEG-encoded image is transformed to match the requested number
-of color channels.
-
-The attr `ratio` allows downscaling the image by an integer factor during
-decoding. Allowed values are: 1, 2, 4, and 8. This is much faster than
-downscaling the image later.
-
-)doc";
-
-const char kDecodeJpegCommonParamsDocStr[] = R"doc(
-channels: Number of color channels for the decoded image.
-ratio: Downscaling ratio.
-fancy_upscaling: If true use a slower but nicer upscaling of the
- chroma planes (yuv420/422 only).
-try_recover_truncated: If true try to recover an image from truncated input.
-acceptable_fraction: The minimum required fraction of lines before a truncated
- input is accepted.
-dct_method: string specifying a hint about the algorithm used for
- decompression. Defaults to "" which maps to a system-specific
- default. Currently valid values are ["INTEGER_FAST",
- "INTEGER_ACCURATE"]. The hint may be ignored (e.g., the internal
- jpeg library changes to a version that does not have that specific
- option.)
-image: 3-D with shape `[height, width, channels]`..
-)doc";
-
// Sets output[0] to shape [batch_dim,height,width,channel_dim], where
// height and width come from the size_tensor.
Status SetOutputToSizedImage(InferenceContext* c, DimensionHandle batch_dim,