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tensorflow::ops::CropAndResizeGradImage
#include <image_ops.h>
Computes the gradient of the crop_and_resize op wrt the input image tensor.
Summary
Args:
- scope: A Scope object
- grads: A 4-D tensor of shape
[num_boxes, crop_height, crop_width, depth].
- boxes: A 2-D tensor of shape
[num_boxes, 4]. The i-th row of the tensor specifies the coordinates of a box in the box_ind[i] image and is specified in normalized coordinates [y1, x1, y2, x2]. A normalized coordinate value of y is mapped to the image coordinate at y * (image_height - 1), so as the [0, 1] interval of normalized image height is mapped to `[0, image_height - 1] in image height coordinates. We do allow y1 > y2, in which case the sampled crop is an up-down flipped version of the original image. The width dimension is treated similarly. Normalized coordinates outside the [0, 1] range are allowed, in which case we use extrapolation_value to extrapolate the input image values.
- box_ind: A 1-D tensor of shape
[num_boxes] with int32 values in [0, batch). The value of box_ind[i] specifies the image that the i-th box refers to.
- image_size: A 1-D tensor with value
[batch, image_height, image_width, depth] containing the original image size. Both image_height and image_width need to be positive.
Optional attributes (see Attrs):
- method: A string specifying the interpolation method. Only 'bilinear' is supported for now.
Returns:
Output: A 4-D tensor of shape [batch, image_height, image_width, depth].
Constructors and Destructors
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CropAndResizeGradImage(const ::tensorflow::Scope & scope, ::tensorflow::Input grads, ::tensorflow::Input boxes, ::tensorflow::Input box_ind, ::tensorflow::Input image_size, DataType T)
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CropAndResizeGradImage(const ::tensorflow::Scope & scope, ::tensorflow::Input grads, ::tensorflow::Input boxes, ::tensorflow::Input box_ind, ::tensorflow::Input image_size, DataType T, const CropAndResizeGradImage::Attrs & attrs)
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Public static functions
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Method(StringPiece x)
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Public attributes
Public functions
node
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Public static functions
Method
Attrs Method(
StringPiece x
)
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tensorflow::ops::CropAndResizeGradImage Class Reference\n\ntensorflow::ops::CropAndResizeGradImage\n=======================================\n\n`#include \u003cimage_ops.h\u003e`\n\nComputes the gradient of the crop_and_resize op wrt the input image tensor.\n\nSummary\n-------\n\nArgs:\n\n- scope: A [Scope](/versions/r2.14/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- grads: A 4-D tensor of shape `[num_boxes, crop_height, crop_width, depth]`.\n- boxes: A 2-D tensor of shape `[num_boxes, 4]`. The `i`-th row of the tensor specifies the coordinates of a box in the `box_ind[i]` image and is specified in normalized coordinates `[y1, x1, y2, x2]`. A normalized coordinate value of `y` is mapped to the image coordinate at `y * (image_height - 1)`, so as the `[0, 1]` interval of normalized image height is mapped to \\`\\[0, image_height - 1\\] in image height coordinates. We do allow y1 \\\u003e y2, in which case the sampled crop is an up-down flipped version of the original image. The width dimension is treated similarly. Normalized coordinates outside the `[0, 1]` range are allowed, in which case we use `extrapolation_value` to extrapolate the input image values.\n- box_ind: A 1-D tensor of shape `[num_boxes]` with int32 values in `[0, batch)`. The value of `box_ind[i]` specifies the image that the `i`-th box refers to.\n- image_size: A 1-D tensor with value `[batch, image_height, image_width, depth]` containing the original image size. Both `image_height` and `image_width` need to be positive.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.14/api_docs/cc/struct/tensorflow/ops/crop-and-resize-grad-image/attrs#structtensorflow_1_1ops_1_1_crop_and_resize_grad_image_1_1_attrs)):\n\n- method: A string specifying the interpolation method. Only 'bilinear' is supported for now.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.14/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): A 4-D tensor of shape `[batch, image_height, image_width, depth]`.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [CropAndResizeGradImage](#classtensorflow_1_1ops_1_1_crop_and_resize_grad_image_1a542871b76c83a2a8ae095c5ade81ab0e)`(const ::`[tensorflow::Scope](/versions/r2.14/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grads, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` boxes, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` box_ind, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` image_size, DataType T)` ||\n| [CropAndResizeGradImage](#classtensorflow_1_1ops_1_1_crop_and_resize_grad_image_1a5314c519439a0018be03ae0599c320d3)`(const ::`[tensorflow::Scope](/versions/r2.14/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grads, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` boxes, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` box_ind, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` image_size, DataType T, const `[CropAndResizeGradImage::Attrs](/versions/r2.14/api_docs/cc/struct/tensorflow/ops/crop-and-resize-grad-image/attrs#structtensorflow_1_1ops_1_1_crop_and_resize_grad_image_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_crop_and_resize_grad_image_1ad757af122f700a9ab5acbd38629f83fb) | [Operation](/versions/r2.14/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_crop_and_resize_grad_image_1adc227b21eb0d9d4ca672f34f67b7943d) | `::`[tensorflow::Output](/versions/r2.14/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|--------------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_crop_and_resize_grad_image_1a614b37524e5b31e34837f59518d54830)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_crop_and_resize_grad_image_1a561ea8804d44d30b5d50d84b6619a89c)`() const ` | |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_crop_and_resize_grad_image_1a189d45da47ace193a132f998417286d2)`() const ` | |\n\n| ### Public static functions ||\n|----------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Method](#classtensorflow_1_1ops_1_1_crop_and_resize_grad_image_1a10a7af8fef715e541d4c1c1472871fa5)`(StringPiece x)` | [Attrs](/versions/r2.14/api_docs/cc/struct/tensorflow/ops/crop-and-resize-grad-image/attrs#structtensorflow_1_1ops_1_1_crop_and_resize_grad_image_1_1_attrs) |\n\n| ### Structs ||\n|--------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::CropAndResizeGradImage::Attrs](/versions/r2.14/api_docs/cc/struct/tensorflow/ops/crop-and-resize-grad-image/attrs) | Optional attribute setters for [CropAndResizeGradImage](/versions/r2.14/api_docs/cc/class/tensorflow/ops/crop-and-resize-grad-image#classtensorflow_1_1ops_1_1_crop_and_resize_grad_image). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### output\n\n```text\n::tensorflow::Output output\n``` \n\nPublic functions\n----------------\n\n### CropAndResizeGradImage\n\n```gdscript\n CropAndResizeGradImage(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input grads,\n ::tensorflow::Input boxes,\n ::tensorflow::Input box_ind,\n ::tensorflow::Input image_size,\n DataType T\n)\n``` \n\n### CropAndResizeGradImage\n\n```gdscript\n CropAndResizeGradImage(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input grads,\n ::tensorflow::Input boxes,\n ::tensorflow::Input box_ind,\n ::tensorflow::Input image_size,\n DataType T,\n const CropAndResizeGradImage::Attrs & attrs\n)\n``` \n\n### node\n\n```gdscript\n::tensorflow::Node * node() const \n``` \n\n### operator::tensorflow::Input\n\n```gdscript\n operator::tensorflow::Input() const \n``` \n\n### operator::tensorflow::Output\n\n```gdscript\n operator::tensorflow::Output() const \n``` \n\nPublic static functions\n-----------------------\n\n### Method\n\n```text\nAttrs Method(\n StringPiece x\n)\n```"]]
