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[ET-VK][Debug] Add isolated test cases for grouped quantized convolution #15844

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[ET-VK][Debug] Add isolated test cases for grouped quantized convolution #15844

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214 changes: 115 additions & 99 deletions backends/vulkan/test/custom_ops/q8ta_q8csw_q8to_conv2d.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -164,7 +164,8 @@ TestCase create_test_case_from_config(

test_case.add_output_spec(output);

test_case.set_abs_tolerance(output_scale_val + 1e-4f);
test_case.set_abs_tolerance(output_scale_val + 2e-3f);
test_case.set_rel_tolerance(1e-2);

return test_case;
}
Expand Down Expand Up @@ -206,115 +207,130 @@ std::vector<TestCase> generate_quantized_conv2d_test_cases() {
std::vector<TestCase> test_cases;

std::vector<Conv2dConfig> configs = {
// Pointwise convolutions: kernel size 1x1
{OutInChannels(32, 3),
InputSize2D(64, 64),
KernelSize(1, 1),
Stride(1, 1),
Padding(0, 0),
Dilation(1, 1),
1},
{OutInChannels(64, 32),
InputSize2D(32, 32),
KernelSize(1, 1),
Stride(1, 1),
Padding(0, 0),
Dilation(1, 1),
1},
{OutInChannels(96, 64),
InputSize2D(16, 16),
KernelSize(1, 1),
Stride(1, 1),
Padding(0, 0),
Dilation(1, 1),
1},
{OutInChannels(13, 7),
InputSize2D(57, 33),
KernelSize(1, 1),
Stride(1, 1),
Padding(0, 0),
Dilation(1, 1),
1},
// General 2D convolutions
{OutInChannels(32, 3),
InputSize2D(64, 64),
KernelSize(3, 3),
Stride(1, 1),
Padding(1, 1),
Dilation(1, 1),
1},
{OutInChannels(32, 3),
InputSize2D(64, 64),
KernelSize(3, 3),
Stride(2, 2),
Padding(1, 1),
Dilation(1, 1),
1},
{OutInChannels(64, 32),
InputSize2D(8, 8),
KernelSize(3, 3),
Stride(1, 1),
Padding(1, 1),
Dilation(1, 1),
1},
{OutInChannels(64, 32),
InputSize2D(64, 64),
KernelSize(3, 3),
Stride(1, 1),
Padding(1, 1),
Dilation(1, 1),
1},
{OutInChannels(64, 32),
InputSize2D(64, 64),
KernelSize(3, 3),
Stride(2, 2),
Padding(1, 1),
Dilation(1, 1),
1},
{OutInChannels(16, 32),
InputSize2D(77, 77),
KernelSize(3, 3),
Stride(1, 1),
Padding(1, 1),
Dilation(1, 1),
1},
// Grouped convolutions
{OutInChannels(64, 32),
InputSize2D(64, 64),
// // Pointwise convolutions: kernel size 1x1
// {OutInChannels(32, 3),
// InputSize2D(64, 64),
// KernelSize(1, 1),
// Stride(1, 1),
// Padding(0, 0),
// Dilation(1, 1),
// 1},
// {OutInChannels(64, 32),
// InputSize2D(32, 32),
// KernelSize(1, 1),
// Stride(1, 1),
// Padding(0, 0),
// Dilation(1, 1),
// 1},
// {OutInChannels(96, 64),
// InputSize2D(16, 16),
// KernelSize(1, 1),
// Stride(1, 1),
// Padding(0, 0),
// Dilation(1, 1),
// 1},
// {OutInChannels(13, 7),
// InputSize2D(57, 33),
// KernelSize(1, 1),
// Stride(1, 1),
// Padding(0, 0),
// Dilation(1, 1),
// 1},
// // General 2D convolutions
// {OutInChannels(32, 3),
// InputSize2D(64, 64),
// KernelSize(3, 3),
// Stride(1, 1),
// Padding(1, 1),
// Dilation(1, 1),
// 1},
// {OutInChannels(32, 3),
// InputSize2D(64, 64),
// KernelSize(3, 3),
// Stride(2, 2),
// Padding(1, 1),
// Dilation(1, 1),
// 1},
// {OutInChannels(64, 32),
// InputSize2D(8, 8),
// KernelSize(3, 3),
// Stride(1, 1),
// Padding(1, 1),
// Dilation(1, 1),
// 1},
// {OutInChannels(64, 32),
// InputSize2D(64, 64),
// KernelSize(3, 3),
// Stride(1, 1),
// Padding(1, 1),
// Dilation(1, 1),
// 1},
// {OutInChannels(64, 32),
// InputSize2D(64, 64),
// KernelSize(3, 3),
// Stride(2, 2),
// Padding(1, 1),
// Dilation(1, 1),
// 1},
// {OutInChannels(16, 32),
// InputSize2D(77, 77),
// KernelSize(3, 3),
// Stride(1, 1),
// Padding(1, 1),
// Dilation(1, 1),
// 1},
// // Grouped convolutions
// {OutInChannels(64, 32),
// InputSize2D(64, 64),
// KernelSize(3, 3),
// Stride(1, 1),
// Padding(1, 1),
// Dilation(1, 1),
// 2},
// {OutInChannels(96, 96),
// InputSize2D(81, 81),
// KernelSize(3, 3),
// Stride(2, 2),
// Padding(1, 1),
// Dilation(1, 1),
// 3},
// {OutInChannels(96, 96),
// InputSize2D(64, 64),
// KernelSize(5, 5),
// Stride(2, 2),
// Padding(2, 2),
// Dilation(1, 1),
// 4},
// // Performance cases (pointwise)
// {OutInChannels(128, 128),
// InputSize2D(128, 128),
// KernelSize(1, 1),
// Stride(1, 1),
// Padding(0, 0),
// Dilation(1, 1),
// 1},
// {OutInChannels(128, 128),
// InputSize2D(128, 128),
// KernelSize(1, 1),
// Stride(1, 1),
// Padding(0, 0),
// Dilation(1, 1),
// 1},
// Performance cases (grouped convs)
{OutInChannels(64, 64),
InputSize2D(128, 128),
KernelSize(3, 3),
Stride(1, 1),
Padding(1, 1),
Dilation(1, 1),
2},
{OutInChannels(96, 96),
InputSize2D(81, 81),
InputSize2D(128, 128),
KernelSize(3, 3),
Stride(2, 2),
Padding(1, 1),
Dilation(1, 1),
3},
{OutInChannels(96, 96),
InputSize2D(64, 64),
KernelSize(5, 5),
Stride(2, 2),
Padding(2, 2),
Dilation(1, 1),
4},
// Performance cases (pointwise)
{OutInChannels(128, 128),
InputSize2D(128, 128),
KernelSize(1, 1),
Stride(1, 1),
Padding(0, 0),
Dilation(1, 1),
1},
{OutInChannels(128, 128),
InputSize2D(128, 128),
KernelSize(1, 1),
Stride(1, 1),
Padding(0, 0),
Dilation(1, 1),
1},
// Performance cases (general 2d convs)
{OutInChannels(32, 3),
InputSize2D(256, 256),
Expand Down
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