tfr.utils.gather_per_row
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Gathers the values from input tensor based on per-row indices.
tfr.utils.gather_per_row(
inputs, indices
)
Example Usage:
scores = [[1., 3., 2.], [1., 2., 3.]]
indices = [[1, 2], [2, 1]]
tfr.utils.gather_per_row(scores, indices)
Returns [[3., 2.], [3., 2.]]
Args |
inputs
|
(tf.Tensor) A tensor of shape [batch_size, list_size] or
[batch_size, list_size, feature_dims].
|
indices
|
(tf.Tensor) A tensor of shape [batch_size, size] of positions to
gather inputs from. Each index corresponds to a row entry in input_tensor.
|
Returns |
A tensor of values gathered from inputs, of shape [batch_size, size] or
[batch_size, size, feature_dims], depending on whether the input was 2D or
3D.
|
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Last updated 2023-08-18 UTC.
[{
"type": "thumb-down",
"id": "missingTheInformationINeed",
"label":"Missing the information I need"
},{
"type": "thumb-down",
"id": "tooComplicatedTooManySteps",
"label":"Too complicated / too many steps"
},{
"type": "thumb-down",
"id": "outOfDate",
"label":"Out of date"
},{
"type": "thumb-down",
"id": "samplesCodeIssue",
"label":"Samples / code issue"
},{
"type": "thumb-down",
"id": "otherDown",
"label":"Other"
}]
[{
"type": "thumb-up",
"id": "easyToUnderstand",
"label":"Easy to understand"
},{
"type": "thumb-up",
"id": "solvedMyProblem",
"label":"Solved my problem"
},{
"type": "thumb-up",
"id": "otherUp",
"label":"Other"
}]
{"lastModified": "Last updated 2023-08-18 UTC."}
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-08-18 UTC."],[],[]]