reminisce commented on a change in pull request #10889: [MXNET-382] Shape and
Size Operator
URL: https://github.com/apache/incubator-mxnet/pull/10889#discussion_r195603650
##########
File path: src/operator/tensor/elemwise_unary_op_basic.cc
##########
@@ -398,6 +398,106 @@ NNVM_REGISTER_OP(reshape_like)
.add_argument("lhs", "NDArray-or-Symbol", "First input.")
.add_argument("rhs", "NDArray-or-Symbol", "Second input.");
+template<>
+void ShapeCompute<cpu>(const nnvm::NodeAttrs& attrs,
+ const OpContext& ctx,
+ const std::vector<TBlob>& inputs,
+ const std::vector<OpReqType>& req,
+ const std::vector<TBlob>& outputs) {
+ CHECK_EQ(inputs.size(), 1U);
+ CHECK_EQ(outputs.size(), 1U);
+ CHECK_EQ(req.size(), 1U);
+ const TBlob& in_data = inputs[0];
+ const TBlob& out_data = outputs[0];
+ mshadow::Stream<cpu> *s = ctx.get_stream<cpu>();
+ const TShape& in_shape = in_data.shape_;
+ MSHADOW_TYPE_SWITCH(out_data.type_flag_, DType, {
+ mxnet_op::Kernel<mshadow_op::identity_with_cast, cpu>::Launch(
+ s, in_data.ndim(), out_data.dptr<DType>(), in_shape.data());
+ });
+}
+
+NNVM_REGISTER_OP(shape_array)
+.describe(R"code(Returns a 1D int64 array containing the shape of data.
+
+Example::
+
+ shape_nd([[1,2,3,4], [5,6,7,8]]) = [2,4]
Review comment:
shape_array?
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
With regards,
Apache Git Services
