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[ET-VK] Tuning conv2d dw op batching size for improved performance. #7597

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[ET-VK] Tuning conv2d dw op batching size for improved performance. #7597

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6 changes: 5 additions & 1 deletion backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_output_tile.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,7 @@ conv2d_dw_output_tile:
NDIM: 3
DTYPE: float
TILE_SIZE: 3
BATCH_SIZE_X: 4
BATCH_SIZE_X: 8
BATCH_SIZE_Y: 2
generate_variant_forall:
DTYPE:
Expand All @@ -22,6 +22,10 @@ conv2d_dw_output_tile:
OPERATOR: clamp(X, A, B)
- NAME: conv2d_dw_output_tile_5x5
TILE_SIZE: 5
BATCH_SIZE_X: 4
BATCH_SIZE_Y: 2
- NAME: conv2d_dw_output_tile_5x5_clamp
OPERATOR: clamp(X, A, B)
TILE_SIZE: 5
BATCH_SIZE_X: 4
BATCH_SIZE_Y: 2
2 changes: 1 addition & 1 deletion backends/vulkan/runtime/graph/ops/impl/Convolution.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -293,7 +293,7 @@ Conv2dMethod get_conv2d_method(
utils::uvec2 get_conv2d_dw_dispatch_divisor(
const std::vector<int64_t>& weight_sizes) {
if (weight_sizes.at(2) == 3 && weight_sizes.at(3) == 3) {
return {4u, 2u};
return {8u, 2u};
}
if (weight_sizes.at(2) == 5 && weight_sizes.at(3) == 5) {
return {4u, 2u};
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