mrkn commented on code in PR #14381:
URL: https://github.com/apache/arrow/pull/14381#discussion_r994838376
##########
ruby/red-arrow/lib/arrow/tensor.rb:
##########
@@ -15,8 +15,140 @@
# specific language governing permissions and limitations
# under the License.
+require_relative "raw-tensor-converter"
+
module Arrow
class Tensor
+ alias_method :initialize_raw, :initialize
+ # Creates a new {Arrow::Tensor}.
+ #
+ # @overload initialize(raw_tensor, data_type: nil, shape: nil, strides:
nil, dimension_names: nil)
+ #
+ # @param raw_tensor [::Array<Numeric>] The tensor represented by
+ # raw `Array` (not `Arrow::Array`) and `Numeric`s. You can
+ # nested `Array` for multi-dimensions array.
+ #
+ # @param data_type [Arrow::DataType, String, Symbol, ::Array<String>,
+ # ::Array<Symbol>, Hash, nil] The element data type of the tensor.
+ #
+ # If you specify `nil`, data type is guessed from `raw_tensor`.
+ #
+ # See {Arrow::DataType.resolve} how to specify data type.
+ #
+ # @param shape [::Array<Integer>, nil] The array of dimension sizes.
+ #
+ # If you specify `nil`, shape is guessed from `raw_tensor`.
+ #
+ # @param strides [::Array<Integer>, nil] The array of the number of
+ # bytes in each dimension.
Review Comment:
@kou How about this?
```
# @param strides [::Array<Integer>, nil] The array of strides which
# is the number of bytes between two adjacent elements in each
# dimension.
```
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