Update generated Python Op docs.
Change: 123197297
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@ -7,7 +7,7 @@ Input images can be of different types but output images are always float.
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##### Args:
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* <b>`images`</b>: A `Tensor`. Must be one of the following types: `uint8`, `int8`, `int16`, `int32`, `int64`, `float32`, `float64`.
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* <b>`images`</b>: A `Tensor`. Must be one of the following types: `uint8`, `int8`, `int16`, `int32`, `int64`, `half`, `float32`, `float64`.
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4-D with shape `[batch, height, width, channels]`.
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* <b>`size`</b>: A 1-D int32 Tensor of 2 elements: `new_height, new_width`. The
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new size for the images.
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@ -7,7 +7,7 @@ Input images can be of different types but output images are always float.
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##### Args:
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* <b>`images`</b>: A `Tensor`. Must be one of the following types: `uint8`, `int8`, `int16`, `int32`, `int64`, `float32`, `float64`.
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* <b>`images`</b>: A `Tensor`. Must be one of the following types: `uint8`, `int8`, `int16`, `int32`, `int64`, `half`, `float32`, `float64`.
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4-D with shape `[batch, height, width, channels]`.
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* <b>`size`</b>: A 1-D int32 Tensor of 2 elements: `new_height, new_width`. The
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new size for the images.
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@ -7,7 +7,7 @@ Input images can be of different types but output images are always float.
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##### Args:
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* <b>`images`</b>: A `Tensor`. Must be one of the following types: `uint8`, `int8`, `int16`, `int32`, `int64`, `float32`, `float64`.
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* <b>`images`</b>: A `Tensor`. Must be one of the following types: `uint8`, `int8`, `int16`, `int32`, `int64`, `half`, `float32`, `float64`.
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4-D with shape `[batch, height, width, channels]`.
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* <b>`size`</b>: A 1-D int32 Tensor of 2 elements: `new_height, new_width`. The
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new size for the images.
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@ -5,7 +5,7 @@ Resize `images` to `size` using nearest neighbor interpolation.
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##### Args:
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* <b>`images`</b>: A `Tensor`. Must be one of the following types: `uint8`, `int8`, `int16`, `int32`, `int64`, `float32`, `float64`.
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* <b>`images`</b>: A `Tensor`. Must be one of the following types: `uint8`, `int8`, `int16`, `int32`, `int64`, `half`, `float32`, `float64`.
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4-D with shape `[batch, height, width, channels]`.
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* <b>`size`</b>: A 1-D int32 Tensor of 2 elements: `new_height, new_width`. The
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new size for the images.
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@ -265,7 +265,7 @@ Input images can be of different types but output images are always float.
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##### Args:
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* <b>`images`</b>: A `Tensor`. Must be one of the following types: `uint8`, `int8`, `int16`, `int32`, `int64`, `float32`, `float64`.
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* <b>`images`</b>: A `Tensor`. Must be one of the following types: `uint8`, `int8`, `int16`, `int32`, `int64`, `half`, `float32`, `float64`.
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4-D with shape `[batch, height, width, channels]`.
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* <b>`size`</b>: A 1-D int32 Tensor of 2 elements: `new_height, new_width`. The
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new size for the images.
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@ -292,7 +292,7 @@ Input images can be of different types but output images are always float.
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##### Args:
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* <b>`images`</b>: A `Tensor`. Must be one of the following types: `uint8`, `int8`, `int16`, `int32`, `int64`, `float32`, `float64`.
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* <b>`images`</b>: A `Tensor`. Must be one of the following types: `uint8`, `int8`, `int16`, `int32`, `int64`, `half`, `float32`, `float64`.
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4-D with shape `[batch, height, width, channels]`.
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* <b>`size`</b>: A 1-D int32 Tensor of 2 elements: `new_height, new_width`. The
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new size for the images.
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@ -319,7 +319,7 @@ Input images can be of different types but output images are always float.
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##### Args:
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* <b>`images`</b>: A `Tensor`. Must be one of the following types: `uint8`, `int8`, `int16`, `int32`, `int64`, `float32`, `float64`.
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* <b>`images`</b>: A `Tensor`. Must be one of the following types: `uint8`, `int8`, `int16`, `int32`, `int64`, `half`, `float32`, `float64`.
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4-D with shape `[batch, height, width, channels]`.
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* <b>`size`</b>: A 1-D int32 Tensor of 2 elements: `new_height, new_width`. The
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new size for the images.
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@ -344,7 +344,7 @@ Resize `images` to `size` using nearest neighbor interpolation.
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##### Args:
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* <b>`images`</b>: A `Tensor`. Must be one of the following types: `uint8`, `int8`, `int16`, `int32`, `int64`, `float32`, `float64`.
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* <b>`images`</b>: A `Tensor`. Must be one of the following types: `uint8`, `int8`, `int16`, `int32`, `int64`, `half`, `float32`, `float64`.
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4-D with shape `[batch, height, width, channels]`.
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* <b>`size`</b>: A 1-D int32 Tensor of 2 elements: `new_height, new_width`. The
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new size for the images.
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