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Revert "TST: add doctest"

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This reverts commit 689174abb6ddb0bdba7b4e3794a246f1e385a0fb.
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Yan Facai (颜发才) 2017-08-26 06:56:32 +08:00 committed by Martin Wicke
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commit c24535359b
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tensorflow/core/ops/ops.pbtxt
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@ -20018,7 +20018,7 @@ op {
} }
} }
summary: "Reshapes a tensor." summary: "Reshapes a tensor."
description: "Given `tensor`, this operation returns a tensor that has the same values\nas `tensor` with shape `shape`.\n\nIf one component of `shape` is the special value -1, the size of that dimension\nis computed so that the total size remains constant. In particular, a `shape`\nof `[-1]` flattens into 1-D. At most one component of `shape` can be -1.\n\nIf `shape` is 1-D or higher, then the operation returns a tensor with shape\n`shape` filled with the values of `tensor`. In this case, the number of elements\nimplied by `shape` must be the same as the number of elements in `tensor`.\n\nFor example:\n\n```\n# tensor \'t\' is [1, 2, 3, 4, 5, 6, 7, 8, 9]\n# tensor \'t\' has shape [9]\nreshape(t, [3, 3]) ==> [[1, 2, 3],\n [4, 5, 6],\n [7, 8, 9]]\n\n# tensor \'t\' is [[[1, 1], [2, 2]],\n# [[3, 3], [4, 4]]]\n# tensor \'t\' has shape [2, 2, 2]\nreshape(t, [2, 4]) ==> [[1, 1, 2, 2],\n [3, 3, 4, 4]]\n\n# tensor \'t\' is [[[1, 1, 1],\n# [2, 2, 2]],\n# [[3, 3, 3],\n# [4, 4, 4]],\n# [[5, 5, 5],\n# [6, 6, 6]]]\n# tensor \'t\' has shape [3, 2, 3]\n# pass \'[-1]\' to flatten \'t\'\nreshape(t, [-1]) ==> [1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6]\n\n# Dimension can be used\n reshape(t, [3, tf.Dimension(3)]) ==> [[1, 2, 3],\n [4, 5, 6],\n [7, 8, 9]]\n\n# -1 can also be used to infer the shape\n\n# -1 is inferred to be 9:\nreshape(t, [2, -1]) ==> [[1, 1, 1, 2, 2, 2, 3, 3, 3],\n [4, 4, 4, 5, 5, 5, 6, 6, 6]]\n# -1 is inferred to be 2:\nreshape(t, [-1, 9]) ==> [[1, 1, 1, 2, 2, 2, 3, 3, 3],\n [4, 4, 4, 5, 5, 5, 6, 6, 6]]\n# -1 is inferred to be 3:\nreshape(t, [ 2, -1, 3]) ==> [[[1, 1, 1],\n [2, 2, 2],\n [3, 3, 3]],\n [[4, 4, 4],\n [5, 5, 5],\n [6, 6, 6]]]\n\n# tensor \'t\' is [7]\n# shape `[]` reshapes to a scalar\nreshape(t, []) ==> 7\n```" description: "Given `tensor`, this operation returns a tensor that has the same values\nas `tensor` with shape `shape`.\n\nIf one component of `shape` is the special value -1, the size of that dimension\nis computed so that the total size remains constant. In particular, a `shape`\nof `[-1]` flattens into 1-D. At most one component of `shape` can be -1.\n\nIf `shape` is 1-D or higher, then the operation returns a tensor with shape\n`shape` filled with the values of `tensor`. In this case, the number of elements\nimplied by `shape` must be the same as the number of elements in `tensor`.\n\nFor example:\n\n```\n# tensor \'t\' is [1, 2, 3, 4, 5, 6, 7, 8, 9]\n# tensor \'t\' has shape [9]\nreshape(t, [3, 3]) ==> [[1, 2, 3],\n [4, 5, 6],\n [7, 8, 9]]\n\n# tensor \'t\' is [[[1, 1], [2, 2]],\n# [[3, 3], [4, 4]]]\n# tensor \'t\' has shape [2, 2, 2]\nreshape(t, [2, 4]) ==> [[1, 1, 2, 2],\n [3, 3, 4, 4]]\n\n# tensor \'t\' is [[[1, 1, 1],\n# [2, 2, 2]],\n# [[3, 3, 3],\n# [4, 4, 4]],\n# [[5, 5, 5],\n# [6, 6, 6]]]\n# tensor \'t\' has shape [3, 2, 3]\n# pass \'[-1]\' to flatten \'t\'\nreshape(t, [-1]) ==> [1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6]\n\n# -1 can also be used to infer the shape\n\n# -1 is inferred to be 9:\nreshape(t, [2, -1]) ==> [[1, 1, 1, 2, 2, 2, 3, 3, 3],\n [4, 4, 4, 5, 5, 5, 6, 6, 6]]\n# -1 is inferred to be 2:\nreshape(t, [-1, 9]) ==> [[1, 1, 1, 2, 2, 2, 3, 3, 3],\n [4, 4, 4, 5, 5, 5, 6, 6, 6]]\n# -1 is inferred to be 3:\nreshape(t, [ 2, -1, 3]) ==> [[[1, 1, 1],\n [2, 2, 2],\n [3, 3, 3]],\n [[4, 4, 4],\n [5, 5, 5],\n [6, 6, 6]]]\n\n# tensor \'t\' is [7]\n# shape `[]` reshapes to a scalar\nreshape(t, []) ==> 7\n```"
} }
op { op {
name: "ResizeArea" name: "ResizeArea"