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Fixed typo

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2021-09-21 19:27:19 +03:00
parent db385569c2
commit 6101c33dbd
4 changed files with 7 additions and 7 deletions
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4
inference-engine/src/mkldnn_plugin/nodes/mkldnn_experimental_detectron_roifeatureextractor_node.cpp
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@@ -104,7 +104,7 @@ void pre_calc_for_bilinear_interpolate(
T hy = static_cast<T>(1) - ly, hx = static_cast<T>(1) - lx;
T w1 = hy * hx, w2 = hy * lx, w3 = ly * hx, w4 = ly * lx;
// save weights and indeces
// save weights and indices
PreCalc<T> pc;
pc.pos1 = y_low * width + x_low;
pc.pos2 = y_low * width + x_high;
@@ -175,7 +175,7 @@ void ROIAlignForward_cpu_kernel(
// We do average (integral) pooling inside a bin
const T count = static_cast<T>(roi_bin_grid_h * roi_bin_grid_w); // e.g. = 4
// we want to precalculate indeces and weights shared by all chanels,
// we want to precalculate indices and weights shared by all chanels,
// this is the key point of optimiation
std::vector<PreCalc<T>> pre_calc(
roi_bin_grid_h * roi_bin_grid_w * pooled_width * pooled_height);

2
inference-engine/src/vpu/graph_transformer/include/vpu/model/data_desc.hpp
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@@ -433,7 +433,7 @@ public:
// Convert from packed format to array of dimensions from minor to major.
DimVector toPermutation() const;
// Get memory indeces for each dimension.
// Get memory indices for each dimension.
DimValues toIndices() const;
//

6
inference-engine/tests_deprecated/functional/vpu/vpu_base/myriad_layers_reference_functions.cpp
View File

@@ -1944,7 +1944,7 @@ namespace internal {
T hy = static_cast<T>(1) - ly, hx = static_cast<T>(1) - lx;
T w1 = hy * hx, w2 = hy * lx, w3 = ly * hx, w4 = ly * lx;
// save weights and indeces
// save weights and indices
PreCalc<T> pc;
pc.pos1 = y_low * width + x_low;
pc.pos2 = y_low * width + x_high;
@@ -2014,7 +2014,7 @@ namespace internal {
// We do average (integral) pooling inside a bin
const T count = static_cast<T>(roi_bin_grid_h * roi_bin_grid_w); // e.g. = 4
// we want to precalculate indeces and weights shared by all chanels,
// we want to precalculate indices and weights shared by all chanels,
// this is the key point of optimiation
std::vector<PreCalc<T>> pre_calc(
roi_bin_grid_h * roi_bin_grid_w * pooled_width * pooled_height);
@@ -2302,7 +2302,7 @@ namespace internal {
// We do average (integral) pooling inside a bin
const T count = static_cast<T>(roi_bin_grid_h * roi_bin_grid_w); // e.g. = 4
// we want to precalculate indeces and weights shared by all chanels,
// we want to precalculate indices and weights shared by all chanels,
// this is the key point of optimiation
std::vector<PreCalc<T>> pre_calc(
roi_bin_grid_h * roi_bin_grid_w * pooled_width * pooled_height);

2
ngraph/core/include/openvino/op/interpolate.hpp
View File

@@ -22,7 +22,7 @@ public:
/// \brief Structure that specifies attributes for interpolation
struct Attributes {
// specify dimension indices where interpolation is applied, and `axes` is any
// unordered list of indeces of different dimensions of input tensor. Required.
// unordered list of indices of different dimensions of input tensor. Required.
AxisSet axes;
// specifies type of interpolation
// one of `nearest`, `linear`, `cubic`, `area`. Required.