haojin2 commented on a change in pull request #15302: [Numpy] Numpy hstack
URL: https://github.com/apache/incubator-mxnet/pull/15302#discussion_r302816499
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File path: src/operator/numpy/np_matrix_op.cc
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@@ -55,6 +55,60 @@ bool NumpyTransposeShape(const nnvm::NodeAttrs& attrs,
return shape_is_known(ret);
}
+bool HStackShape(const nnvm::NodeAttrs& attrs,
+ mxnet::ShapeVector *in_shape,
+ mxnet::ShapeVector *out_shape) {
+ using namespace mshadow;
+ ConcatParam param_ = nnvm::get<ConcatParam>(attrs.parsed);
+ CHECK_EQ(in_shape->size(), static_cast<size_t>(param_.num_args));
+ mxnet::TShape dshape;
+ dim_t size = 0;
+ bool has_unknown_dim_size = false;
+ int axis = (*in_shape)[0].ndim() > 1 ? 1 : 0;
+ param_.dim = axis;
+ for (int i = 0; i < param_.num_args; ++i) {
+ // scalor tensor is treated as one dimensional vector
+ if ((*in_shape)[i].ndim() == 0) {
+ (*in_shape)[i] = mxnet::TShape(1, 1);
+ }
+ mxnet::TShape &tmp = (*in_shape)[i];
+ if (tmp.ndim() > 0) {
+ CheckAxis(axis, tmp.ndim());
+ if (!mxnet::dim_size_is_known(tmp, axis)) {
+ has_unknown_dim_size = true;
+ } else {
+ size += tmp[axis];
+ }
+ tmp[axis] = -1;
+ shape_assign(&dshape, tmp);
+ }
+ }
+
+ mxnet::TShape tmp = (*out_shape)[0];
+ if (tmp.ndim() > 0) {
+ axis = CheckAxis(param_.dim, tmp.ndim());
+ tmp[axis] = -1;
+ shape_assign(&dshape, tmp);
+ }
+
+ if (dshape.ndim() == -1) return false;
+ CHECK_NE(dshape.ndim(), 0) << "zero-dimensional arrays cannot be
concatenated";
+
+ for (int i = 0; i < param_.num_args; ++i) {
+ CHECK(shape_assign(&(*in_shape)[i], dshape))
+ << "Incompatible input shape: expected " << dshape << ", got " <<
(*in_shape)[i];
+ }
+
+
Review comment:
Get rid of the extra blank line.
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