dhruvaray commented on a change in pull request #5447:
URL: https://github.com/apache/incubator-tvm/pull/5447#discussion_r416522950
##########
File path: python/tvm/relay/op/transform.py
##########
@@ -884,3 +884,29 @@ def unravel_index(indices, shape):
"""
return _make.unravel_index(indices, shape)
+
+def sparse_to_dense(sparse_indices, sparse_values, default_value,
output_shape):
+ """Converts a sparse representation into a dense tensor.
+ Example::
+ - sparse_to_dense([[0, 0], [1, 1]], [3, 3], 0, [2, 2]) = [[3, 0], [0,
3]]
+
+ Parameters
+ ----------
+ sparse_indices : tvm.te.Tensor
+ A 0-D, 1-D, or 2-D tensor of type `int32` or `int64`.
+ `sparse_indices[i]` contains the complete index where
`sparse_values[i]` will be placed.
+ sparse_values : tvm.te.Tensor
+ A 0-D or 1-D tensor.
+ Values corresponding to each row of sparse_indices,
+ or a scalar value to be used for all sparse indices.
+ default_value : tvm.te.Tensor
Review comment:
Fixe
##########
File path: python/tvm/relay/op/transform.py
##########
@@ -884,3 +884,29 @@ def unravel_index(indices, shape):
"""
return _make.unravel_index(indices, shape)
+
+def sparse_to_dense(sparse_indices, sparse_values, default_value,
output_shape):
+ """Converts a sparse representation into a dense tensor.
+ Example::
+ - sparse_to_dense([[0, 0], [1, 1]], [3, 3], 0, [2, 2]) = [[3, 0], [0,
3]]
+
+ Parameters
+ ----------
+ sparse_indices : tvm.te.Tensor
+ A 0-D, 1-D, or 2-D tensor of type `int32` or `int64`.
+ `sparse_indices[i]` contains the complete index where
`sparse_values[i]` will be placed.
+ sparse_values : tvm.te.Tensor
+ A 0-D or 1-D tensor.
+ Values corresponding to each row of sparse_indices,
+ or a scalar value to be used for all sparse indices.
+ default_value : tvm.te.Tensor
Review comment:
Fixed
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