Skip to content
This repository has been archived by the owner on Nov 17, 2023. It is now read-only.

[MXNET-1253] fix control_flow_op #13555

Merged
merged 3 commits into from
Dec 11, 2018
Merged

[MXNET-1253] fix control_flow_op #13555

Show file tree
Hide file tree
Changes from 1 commit
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
df7c154
fix control_flow_op
apeforest Dec 6, 2018
08f4977
change type for M
apeforest Dec 6, 2018
d0ad62b
add test for sparse where op
apeforest Dec 10, 2018
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
12 changes: 6 additions & 6 deletions src/operator/tensor/control_flow_op.h
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -46,7 +46,7 @@ struct where {
// DType is the output data type
// CType is condition data type
template<typename DType, typename CType>
MSHADOW_XINLINE static void Map(int i, DType* out, const CType* cond,
MSHADOW_XINLINE static void Map(index_t i, DType* out, const CType* cond,
const DType* x, const DType* y) {
KERNEL_ASSIGN(out[i], req, (0 != cond[i]? x[i] : y[i]));
}
Expand All @@ -64,7 +64,7 @@ struct where_csr {
// CType is condition data type
// i is for i-th row in the output
template<typename DType, typename CType, typename IType>
MSHADOW_XINLINE static void Map(int i, DType* out, const IType* cond_idx,
MSHADOW_XINLINE static void Map(index_t i, DType* out, const IType* cond_idx,
const IType* cond_indptr, const CType* cond_data,
const nnvm::dim_t num_cols, const DType* x) {
using nnvm::dim_t;
Expand Down Expand Up @@ -92,7 +92,7 @@ struct where_batch {
// DType is the output data type
// CType is the condition data type
template<typename DType, typename CType>
MSHADOW_XINLINE static void Map(int i, DType* out, const CType* cond,
MSHADOW_XINLINE static void Map(index_t i, DType* out, const CType* cond,
const DType* x, const DType* y, int M) {
apeforest marked this conversation as resolved.
Show resolved Hide resolved
KERNEL_ASSIGN(out[i], req, (0 != cond[i/M]? x[i] : y[i]));
}
Expand All @@ -109,7 +109,7 @@ struct where_backward {
// DType is the output data type
// CType is condition data type
template<typename DType, typename CType>
MSHADOW_XINLINE static void Map(int i, DType* grad_out,
MSHADOW_XINLINE static void Map(index_t i, DType* grad_out,
const DType* grad_in,
const CType* cond) {
KERNEL_ASSIGN(grad_out[i], req,
Expand All @@ -130,7 +130,7 @@ struct where_backward_csr {
// CType is condition data type
// IType is condition aux data type
template<typename DType, typename CType, typename IType>
MSHADOW_XINLINE static void Map(int i, DType* grad_out,
MSHADOW_XINLINE static void Map(index_t i, DType* grad_out,
const DType* grad_in,
const CType* cond_data,
const IType* cond_idx,
Expand Down Expand Up @@ -161,7 +161,7 @@ struct where_batch_backward {
// DType is the output data type
// CType is condition data type
template<typename DType, typename CType>
MSHADOW_XINLINE static void Map(int i, DType* grad_out,
MSHADOW_XINLINE static void Map(index_t i, DType* grad_out,
const DType* grad_in,
const CType* cond, int M) {
apeforest marked this conversation as resolved.
Show resolved Hide resolved
KERNEL_ASSIGN(grad_out[i], req,
Expand Down
7 changes: 7 additions & 0 deletions tests/nightly/test_large_array.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -134,6 +134,13 @@ def test_Dense(ctx=mx.cpu(0)):
res.wait_to_read()
assert res.shape == (50000000, 100)

def test_where():
a = nd.ones(shape=(LARGE_X, SMALL_Y))
b = nd.arange(0, LARGE_X).reshape(LARGE_X, 1)
b = nd.broadcast_to(b, shape=(b.shape[0], SMALL_Y))
res = nd.where(b > 100, a, b)
apeforest marked this conversation as resolved.
Show resolved Hide resolved
assert np.sum(res[-1].asnumpy() == 1) == b.shape[1]


if __name__ == '__main__':
import nose
Expand Down