This is an automated email from the ASF dual-hosted git repository.
reminisce pushed a commit to branch numpy
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/numpy by this push:
new 2b1599f Fix cpp package build after using new shape definition
(#14554)
2b1599f is described below
commit 2b1599f6f65620257fc2f5d46606780d88e56548
Author: reminisce <[email protected]>
AuthorDate: Wed Apr 3 13:40:11 2019 -0700
Fix cpp package build after using new shape definition (#14554)
---
cpp-package/include/mxnet-cpp/ndarray.hpp | 6 +++---
cpp-package/include/mxnet-cpp/symbol.hpp | 20 ++++++++++----------
include/mxnet/tensor_blob.h | 2 ++
include/mxnet/tuple.h | 6 +++++-
4 files changed, 20 insertions(+), 14 deletions(-)
diff --git a/cpp-package/include/mxnet-cpp/ndarray.hpp
b/cpp-package/include/mxnet-cpp/ndarray.hpp
index 966cf75..3a23d18 100644
--- a/cpp-package/include/mxnet-cpp/ndarray.hpp
+++ b/cpp-package/include/mxnet-cpp/ndarray.hpp
@@ -397,11 +397,11 @@ inline size_t NDArray::Size() const {
}
inline std::vector<mx_uint> NDArray::GetShape() const {
- const mx_uint *out_pdata;
- mx_uint out_dim;
+ const int *out_pdata;
+ int out_dim;
MXNDArrayGetShape(blob_ptr_->handle_, &out_dim, &out_pdata);
std::vector<mx_uint> ret;
- for (mx_uint i = 0; i < out_dim; ++i) {
+ for (int i = 0; i < out_dim; ++i) {
ret.push_back(out_pdata[i]);
}
return ret;
diff --git a/cpp-package/include/mxnet-cpp/symbol.hpp
b/cpp-package/include/mxnet-cpp/symbol.hpp
index aed9639..d82b7ab 100644
--- a/cpp-package/include/mxnet-cpp/symbol.hpp
+++ b/cpp-package/include/mxnet-cpp/symbol.hpp
@@ -188,7 +188,7 @@ inline void Symbol::InferShape(
std::vector<const char *> keys;
std::vector<mx_uint> arg_ind_ptr;
- std::vector<mx_uint> arg_shape_data;
+ std::vector<int> arg_shape_data;
for (const auto &arg : arg_shapes) {
keys.push_back(arg.first.c_str());
@@ -200,14 +200,14 @@ inline void Symbol::InferShape(
arg_ind_ptr.push_back(arg_shape_data.size());
mx_uint in_shape_size;
- const mx_uint *in_shape_ndim;
- const mx_uint **in_shape_data;
+ const int*in_shape_ndim;
+ const int **in_shape_data;
mx_uint out_shape_size;
- const mx_uint *out_shape_ndim;
- const mx_uint **out_shape_data;
+ const int *out_shape_ndim;
+ const int **out_shape_data;
mx_uint aux_shape_size;
- const mx_uint *aux_shape_ndim;
- const mx_uint **aux_shape_data;
+ const int *aux_shape_ndim;
+ const int **aux_shape_data;
int complete;
CHECK_EQ(MXSymbolInferShape(GetHandle(), keys.size(), keys.data(),
@@ -221,19 +221,19 @@ inline void Symbol::InferShape(
if (complete) {
for (mx_uint i = 0; i < in_shape_size; ++i) {
in_shape->push_back(std::vector<mx_uint>());
- for (mx_uint j = 0; j < in_shape_ndim[i]; ++j) {
+ for (int j = 0; j < in_shape_ndim[i]; ++j) {
(*in_shape)[i].push_back(in_shape_data[i][j]);
}
}
for (mx_uint i = 0; i < aux_shape_size; ++i) {
aux_shape->push_back(std::vector<mx_uint>());
- for (mx_uint j = 0; j < aux_shape_ndim[i]; ++j) {
+ for (int j = 0; j < aux_shape_ndim[i]; ++j) {
(*aux_shape)[i].push_back(aux_shape_data[i][j]);
}
}
for (mx_uint i = 0; i < out_shape_size; ++i) {
out_shape->push_back(std::vector<mx_uint>());
- for (mx_uint j = 0; j < out_shape_ndim[i]; ++j) {
+ for (int j = 0; j < out_shape_ndim[i]; ++j) {
(*out_shape)[i].push_back(out_shape_data[i][j]);
}
}
diff --git a/include/mxnet/tensor_blob.h b/include/mxnet/tensor_blob.h
index 45d4c7f..a7a5726 100755
--- a/include/mxnet/tensor_blob.h
+++ b/include/mxnet/tensor_blob.h
@@ -418,6 +418,8 @@ class TBlob {
namespace dmlc {
// Add a few patches to support mxnet::TShape in dmlc/parameter.
DMLC_DECLARE_TYPE_NAME(mxnet::TShape, "Shape(tuple)");
+DMLC_DECLARE_TYPE_NAME(mxnet::Tuple<int>, "Shape(tuple)");
+DMLC_DECLARE_TYPE_NAME(mxnet::Tuple<dmlc::optional<int>>, "Shape(tuple)");
DMLC_DECLARE_TYPE_NAME(nnvm::Tuple<int>, "Shape(tuple)");
DMLC_DECLARE_TYPE_NAME(nnvm::Tuple<dmlc::optional<int>>, "Shape(tuple)");
diff --git a/include/mxnet/tuple.h b/include/mxnet/tuple.h
index d83e843..c5a3586 100644
--- a/include/mxnet/tuple.h
+++ b/include/mxnet/tuple.h
@@ -236,7 +236,10 @@ class Tuple {
*/
friend std::ostream &operator<<(std::ostream &os, const Tuple<ValueType> &t)
{
if (t.ndim() == -1) {
- os << "UNKNOWN_SHAPE";
+ // If t is an unknown shape, return string "None".
+ // This is consistent with returning unknown shape in Python and
generating
+ // C++ operator APIs by OpWrapperGenerator.py (defaultString) in
cpp-package.
+ os << "None";
return os;
}
os << '[';
@@ -727,6 +730,7 @@ struct hash<mxnet::TShape> {
namespace dmlc {
/*! \brief description for optional TShape */
DMLC_DECLARE_TYPE_NAME(optional<mxnet::TShape>, "Shape or None");
+DMLC_DECLARE_TYPE_NAME(optional<mxnet::Tuple<int>>, "Shape or None");
// avoid low version of MSVC
#if !defined(_MSC_VER)
template<typename T>
