tf.raw_ops.Prod | TensorFlow v2.16.1 (original) (raw)
tf.raw_ops.Prod
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Computes the product of elements across dimensions of a tensor.
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tf.raw_ops.Prod(
input, axis, keep_dims=False, name=None
)
Reduces input along the dimensions given in axis. Unlesskeep_dims is true, the rank of the tensor is reduced by 1 for each entry inaxis. If keep_dims is true, the reduced dimensions are retained with length 1.
| Args | |
|---|---|
| input | A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, complex64, int64, qint8, quint8, qint32, bfloat16, qint16, quint16, uint16, complex128, half, uint32, uint64. The tensor to reduce. |
| axis | A Tensor. Must be one of the following types: int32, int64. The dimensions to reduce. Must be in the range[-rank(input), rank(input)). |
| keep_dims | An optional bool. Defaults to False. If true, retain reduced dimensions with length 1. |
| name | A name for the operation (optional). |
| Returns |
|---|
| A Tensor. Has the same type as input. |
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Last updated 2024-04-26 UTC.