On this page
tf.raw_ops.SparseSegmentMeanGrad
Computes gradients for SparseSegmentMean.
tf.raw_ops.SparseSegmentMeanGrad(
    grad, indices, segment_ids, output_dim0, name=None
)
  Returns tensor "output" with same shape as grad, except for dimension 0 whose value is output_dim0.
| Args | |
|---|---|
grad | 
      A Tensor. Must be one of the following types: float32, float64. gradient propagated to the SparseSegmentMean op. | 
     
indices | 
      A Tensor. Must be one of the following types: int32, int64. indices passed to the corresponding SparseSegmentMean op. | 
     
segment_ids | 
      A Tensor. Must be one of the following types: int32, int64. segment_ids passed to the corresponding SparseSegmentMean op. | 
     
output_dim0 | 
      A Tensor of type int32. dimension 0 of "data" passed to SparseSegmentMean op. | 
     
name | 
      A name for the operation (optional). | 
| Returns | |
|---|---|
A Tensor. Has the same type as grad. | 
     
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
 https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/SparseSegmentMeanGrad