Outputs a tensor containing the reduction across all input tensors.
tf.raw_ops.NcclAllReduce(
input, reduction, num_devices, shared_name, name=None
)
Outputs a tensor containing the reduction across all input tensors passed to ops within the same `shared_name.
The graph should be constructed so if one op runs with shared_name value c, then num_devices ops will run with shared_name value c. Failure to do so will cause the graph execution to fail to complete.
input: the input to the reduction data: the value of the reduction across all num_devices devices. reduction: the reduction operation to perform. num_devices: The number of devices participating in this reduction. shared_name: Identifier that shared between ops of the same reduction.
| Args | |
|---|---|
input | A Tensor. Must be one of the following types: half, float32, float64, int32, int64. |
reduction | A string from: "min", "max", "prod", "sum". |
num_devices | An int. |
shared_name | A string. |
name | A name for the operation (optional). |
| Returns | |
|---|---|
A Tensor. Has the same type as input. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/NcclAllReduce