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[ET-VK][testing] Create dedicated test binary for pointwise convolutions #17220

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Merged
meta-codesync merged 3 commits into from
Feb 5, 2026
Merged

[ET-VK][testing] Create dedicated test binary for pointwise convolutions #17220

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4752b4d
[ET-VK][testing] Create dedicated test binary for pointwise convolutions
Feb 4, 2026
2b45e19
Update on "[ET-VK][testing] Create dedicated test binary for pointwis…
Feb 5, 2026
26086c2
Update on "[ET-VK][testing] Create dedicated test binary for pointwis…
Feb 5, 2026
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1 change: 1 addition & 0 deletions backends/vulkan/test/custom_ops/CMakeLists.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -100,6 +100,7 @@ if(TARGET vulkan_backend)
add_operator_prototype(test_q8ta_qdq)
add_operator_prototype(test_q8ta_clone)
add_operator_prototype(test_q8ta_conv2d)
add_operator_prototype(test_q8ta_conv2d_pw)
add_operator_prototype(test_q8ta_conv2d_dw)
add_operator_prototype(q8ta_q8ta_q8to_add)
endif()
1 change: 1 addition & 0 deletions backends/vulkan/test/custom_ops/targets.bzl
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Expand Up @@ -94,5 +94,6 @@ def define_common_targets(is_fbcode = False):
define_custom_op_test_binary("test_q8ta_qdq")
define_custom_op_test_binary("test_q8ta_clone")
define_custom_op_test_binary("test_q8ta_conv2d")
define_custom_op_test_binary("test_q8ta_conv2d_pw")
define_custom_op_test_binary("test_q8ta_conv2d_dw")
define_custom_op_test_binary("q8ta_q8ta_q8to_add")
44 changes: 0 additions & 44 deletions backends/vulkan/test/custom_ops/test_q8ta_conv2d.cpp
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Expand Up @@ -258,35 +258,6 @@ static std::vector<TestCase> generate_quantized_conv2d_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),
Expand Down Expand Up @@ -352,21 +323,6 @@ static std::vector<TestCase> generate_quantized_conv2d_test_cases() {
Padding(2, 2),
Dilation(1, 1),
4},
// Performance cases (pointwise - will use im2col)
{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 (3x3 convs - will use im2col)
{OutInChannels(32, 3),
InputSize2D(256, 256),
Expand Down
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