haojin2 commented on a change in pull request #11587: [MXNET-378] Adding
depth_to_space and space_to_depth operator(Updated)
URL: https://github.com/apache/incubator-mxnet/pull/11587#discussion_r200795948
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File path: src/operator/tensor/matrix_op.cc
##########
@@ -908,5 +910,94 @@ NNVM_REGISTER_OP(_backward_squeeze)
.set_attr<nnvm::TIsBackward>("TIsBackward", true)
.set_attr<FCompute>("FCompute<cpu>", UnaryOp::IdentityCompute<cpu>);
+NNVM_REGISTER_OP(depth_to_space)
+.describe(R"code(This operators implements the depthToSpace function:
+.. math::
+ f(x, block) = ~x
+where :math:`x` is an input tensor of shape [N,C,H,W] and `~x` is the output
tensor of shape [N,C/block^2,H*block,W*block]
+Example::
+#(1,4,2,3) input tensor
+ x = [[[[0, 1, 2],
+ [3, 4, 5]],
+ [[6, 7, 8],
+ [9, 10, 11]],
+ [[12, 13, 14],
+ [15, 16, 17]],
+ [[18, 19, 20],
+ [21, 22, 23]]]]
+
+ y = depth_to_space(x, 2)
+
+# (1, 1, 4, 6) output tensor
+ y = [[[[0, 6, 1, 7, 2, 8],
+ [12, 18, 13, 19, 14, 20],
+ [3, 9, 4, 10, 5, 11],
+ [15, 21, 16, 22, 17, 23]]]]
+)code" ADD_FILELINE)
+.set_attr_parser(ParamParser<DepthToSpaceParam>)
+.set_num_inputs(1)
+.set_num_outputs(1)
+.set_attr<nnvm::FListInputNames>("FListInputNames",
+ [](const NodeAttrs& attrs) {
+ return std::vector<std::string>{"data"};
+ })
+.set_attr<nnvm::FInferShape>("FInferShape", DepthToSpaceOpShape)
+.set_attr<nnvm::FInferType>("FInferType", DepthToSpaceOpType)
+.set_attr<FCompute>("FCompute<cpu>", DepthToSpaceOpForward<cpu>)
+.set_attr<FResourceRequest>("FResourceRequest", [](const NodeAttrs& n) {
+ return std::vector<ResourceRequest>{ResourceRequest::kTempSpace};
+})
+.set_attr<nnvm::FInplaceOption>("FInplaceOption",
+ [](const NodeAttrs& attrs) {
+ return std::vector<std::pair<int, int> >{{0, 0}};
+ })
+.add_argument("data", "NDArray-or-Symbol", "Input ndarray")
+.add_arguments(DepthToSpaceParam::__FIELDS__());
+
+NNVM_REGISTER_OP(space_to_depth)
+.describe(R"code(This operators implements the spacetodepth function:
+.. math::
+ f(x, block) = ~x
+where :math:`x` is an input tensor of shape [N,C,H,W] and `~x` is the output
tensor of shape [N,C/block^2,H*block,W*block]
+Example::
+#(1,4,2,3) input tensor
+ x = [[[[0, 6, 1, 7, 2, 8],
+ [12, 18, 13, 19, 14, 20],
+ [3, 9, 4, 10, 5, 11],
+ [15, 21, 16, 22, 17, 23]]]]
+
+
+ y = space_to_depth(x, 2)
+
+# (1, 1, 4, 6) output tensor
+ y = [[[[0, 1, 2],
+ [3, 4, 5]],
Review comment:
Alignment
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