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[NVIDIA] Add infer_conv_backprop_auto_padding func #825

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merged 3 commits into from
Jan 16, 2024
Merged

[NVIDIA] Add infer_conv_backprop_auto_padding func #825

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858f5d0
Add infer_conv_backprop_auto_padding func
t-jankowski Jan 16, 2024
16adfaf
Move method to hidden function
t-jankowski Jan 16, 2024
c8344f6
Merge remote-tracking branch 'upstream/master' into tj/nvidia/move-ov…
t-jankowski Jan 16, 2024
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41 changes: 38 additions & 3 deletions modules/nvidia_plugin/src/transformer/nodes/fused_convolution_backprop_data.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@
//

#include "fused_convolution_backprop_data.hpp"
#include "ngraph/validation_util.hpp"

#include "openvino/core/except.hpp"
#include "openvino/op/constant.hpp"

Expand Down Expand Up @@ -130,6 +130,42 @@ void FusedConvBackpropData::infer_conv_backprop_output_spatial_shape(const std::
}
}

namespace {
void infer_conv_backprop_auto_padding(const ov::Shape& input_data_shape,
const ov::Shape& filters_shape,
const ov::Shape& output_shape,
const ov::Strides& strides,
const ov::Strides& dilations,
const ov::op::PadType auto_pad_type,
const ov::CoordinateDiff& output_padding,
ov::CoordinateDiff& pads_begin,
ov::CoordinateDiff& pads_end) {
OPENVINO_ASSERT(auto_pad_type == ov::op::PadType::SAME_UPPER || auto_pad_type == ov::op::PadType::SAME_LOWER);

size_t num_spatial_dims = input_data_shape.size();
OPENVINO_ASSERT(filters_shape.size() == num_spatial_dims && strides.size() == num_spatial_dims &&
dilations.size() == num_spatial_dims && pads_begin.size() == num_spatial_dims &&
pads_end.size() == num_spatial_dims && output_padding.size() == num_spatial_dims);

pads_begin = ov::CoordinateDiff(num_spatial_dims);
pads_end = ov::CoordinateDiff(num_spatial_dims);

for (uint64_t i = 0; i < num_spatial_dims; ++i) {
int total_padding = std::max<int>(
static_cast<int>(strides[i] * (input_data_shape[i] - 1) + dilations[i] * (filters_shape[i] - 1) + 1 -
output_shape[i] + output_padding[i]),
0);
if (auto_pad_type != ov::op::PadType::SAME_UPPER) {
pads_begin[i] = total_padding / 2;
pads_end[i] = total_padding - pads_begin[i];
} else {
pads_end[i] = total_padding / 2;
pads_begin[i] = total_padding - pads_end[i];
}
}
}
} // namespace

void FusedConvBackpropData::validate_and_infer_types() {
auto data_pshape = get_input_partial_shape(0);
ov::element::Type delta_et = get_input_element_type(0);
Expand Down Expand Up @@ -184,7 +220,6 @@ void FusedConvBackpropData::validate_and_infer_types() {
"spatial features.");
}

ov::PartialShape result_shape;
if (is_output_shape_present) {
if (output_pshape.is_static() && filters_pshape.is_static() && data_pshape.is_static()) {
ov::Shape output_shape = output_pshape.to_shape();
Expand All @@ -200,7 +235,7 @@ void FusedConvBackpropData::validate_and_infer_types() {
// If auto_pad has one of following mode we infer paddings. Otherwise in
// EXPLICIT auto_pad mode we use what is provided.
if (auto_pad_ == ov::op::PadType::SAME_UPPER || auto_pad_ == ov::op::PadType::SAME_LOWER) {
ngraph::opset1::infer_conv_backprop_auto_padding(
infer_conv_backprop_auto_padding(
ov::Shape{std::next(data_shape.begin(), 2), std::end(data_shape)},
ov::Shape{std::next(filters_shape.begin(), 2), std::end(filters_shape)},
output_shape,
Expand Down