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diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.argmin.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.argmin.md new file mode 100644 index 0000000000..002d5ed816 --- /dev/null +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.argmin.md @@ -0,0 +1,17 @@ +### `tf.argmin(input, dimension, name=None)` {#argmin} + +Returns the index with the smallest value across dimensions of a tensor. + +##### Args: + + +* <b>`input`</b>: A `Tensor`. Must be one of the following types: `float32`, `float64`, `int64`, `int32`, `uint8`, `uint16`, `int16`, `int8`, `complex64`, `complex128`, `qint8`, `quint8`, `qint32`, `half`. +* <b>`dimension`</b>: A `Tensor` of type `int32`. + int32, 0 <= dimension < rank(input). Describes which dimension + of the input Tensor to reduce across. For vectors, use dimension = 0. +* <b>`name`</b>: A name for the operation (optional). + +##### Returns: + + A `Tensor` of type `int64`. + |