[ET-VK][ez] Improve quantized convolution test case naming (#16141)

Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at
bottom):
* #16142
* __->__ #16141

As title - update the way the test case names are displayed in the
quantized convolution test binaries so that it is more clear what is
being tested.

Before:

```
performance_64/32_128/128_3/3_Texture3D_Float
```

After:

```
PERF  32->64  I=128,128  k=3  Tex->Buf
```

Differential Revision:
[D88702991](https://our.internmc.facebook.com/intern/diff/D88702991/)

Co-authored-by: ssjia <ssjia@devvm1479.ncg0.facebook.com>

Author: SS-JIA

backends/vulkan/test/custom_ops/CMakeLists.txt

@@ -48,7 +48,9 @@ if(TARGET vulkan_backend)
 
   # Prototyping utility files
   set(PROTOTYPING_UTILS_HEADERS ${CMAKE_CURRENT_SOURCE_DIR})
-  set(PROTOTYPING_UTILS_CPP ${CMAKE_CURRENT_SOURCE_DIR}/utils.cpp)
+  set(PROTOTYPING_UTILS_CPP ${CMAKE_CURRENT_SOURCE_DIR}/utils.cpp
+                            ${CMAKE_CURRENT_SOURCE_DIR}/conv2d_utils.cpp
+  )
 
   # Prototyping shaders
   message(STATUS "shader stuff")

backends/vulkan/test/custom_ops/conv2d_utils.cpp

@@ -6,5 +6,87 @@
 
 #include "conv2d_utils.h"
 
-// Implementation file for conv2d utilities.
-// Currently all functionality is implemented inline in the header.
+namespace executorch {
+namespace vulkan {
+namespace prototyping {
+
+std::string make_test_case_conv_params_suffix(const Conv2dConfig& config) {
+  std::string suffix;
+  // Only print groups if not equal to 1
+  if (config.groups != 1) {
+    suffix += "g=" + std::to_string(config.groups);
+    suffix += "  ";
+  }
+
+  suffix += "k=";
+  if (config.kernel.h == config.kernel.w) {
+    suffix += std::to_string(config.kernel.w);
+  } else {
+    suffix +=
+        std::to_string(config.kernel.w) + "," + std::to_string(config.kernel.h);
+  }
+  // Only print stride if either dimension is not 1
+  if (config.stride.h > 1 || config.stride.w > 1) {
+    suffix += ",s=";
+    if (config.stride.h == config.stride.w) {
+      suffix += std::to_string(config.stride.w);
+    } else {
+      suffix += std::to_string(config.stride.w) + "," +
+          std::to_string(config.stride.h);
+    }
+  }
+  // Only print padding if either dimension is not 1
+  if (config.padding.h != 1 || config.padding.w != 1) {
+    suffix += ",p=";
+    if (config.padding.h == config.padding.w) {
+      suffix += std::to_string(config.padding.w);
+    } else {
+      suffix += std::to_string(config.padding.w) + "," +
+          std::to_string(config.padding.h);
+    }
+  }
+  // Only print dilation if either dimension is not 1
+  if (config.dilation.h != 1 || config.dilation.w != 1) {
+    suffix += ",d=";
+    if (config.dilation.h == config.dilation.w) {
+      suffix += std::to_string(config.dilation.w);
+    } else {
+      suffix += std::to_string(config.dilation.w) + "," +
+          std::to_string(config.dilation.h);
+    }
+  }
+  return suffix;
+}
+
+std::string to_string(const vkcompute::utils::StorageType storage_type) {
+  switch (storage_type) {
+    case vkcompute::utils::kTexture3D:
+      return "Tex";
+    case vkcompute::utils::kTexture2D:
+      return "Tex2D";
+    case vkcompute::utils::kBuffer:
+      return "Buf";
+  }
+}
+
+std::string make_test_case_name(
+    const Conv2dConfig& config,
+    const bool is_performance,
+    const vkcompute::utils::StorageType fp_storage_type,
+    const vkcompute::utils::StorageType int8_storage_type) {
+  std::string test_case_name = is_performance ? "PERF  " : "ACCU  ";
+  test_case_name += std::to_string(config.channels.in) + "->" +
+      std::to_string(config.channels.out) +
+      "  I=" + std::to_string(config.input_size.h) + "," +
+      std::to_string(config.input_size.w) + "  " +
+      make_test_case_conv_params_suffix(config);
+
+  test_case_name +=
+      "  " + to_string(fp_storage_type) + "->" + to_string(int8_storage_type);
+
+  return test_case_name;
+}
+
+} // namespace prototyping
+} // namespace vulkan
+} // namespace executorch

backends/vulkan/test/custom_ops/conv2d_utils.h

@@ -6,6 +6,8 @@
 
 #pragma once
 
+#include <executorch/backends/vulkan/runtime/api/api.h>
+
 #include <cstdint>
 #include <string>
 
@@ -83,6 +85,12 @@ struct Conv2dConfig {
   }
 };
 
+std::string make_test_case_name(
+    const Conv2dConfig& config,
+    const bool is_performance,
+    const vkcompute::utils::StorageType fp_storage_type,
+    const vkcompute::utils::StorageType int8_storage_type);
+
 } // namespace prototyping
 } // namespace vulkan
 } // namespace executorch

backends/vulkan/test/custom_ops/q8ta_q8csw_q8to_conv2d.cpp

@@ -4,15 +4,17 @@
 // This source code is licensed under the BSD-style license found in the
 // LICENSE file in the root directory of this source tree.
 
-#include <executorch/backends/vulkan/runtime/graph/ops/impl/Common.h>
-#include <executorch/backends/vulkan/runtime/graph/ops/utils/ShaderNameUtils.h>
 #include <iostream>
 #include <vector>
-#include "conv2d_utils.h"
-#include "utils.h"
+
+#include <executorch/backends/vulkan/runtime/graph/ops/impl/Common.h>
+#include <executorch/backends/vulkan/runtime/graph/ops/utils/ShaderNameUtils.h>
 
 #include <executorch/backends/vulkan/runtime/graph/ops/impl/Staging.h>
 
+#include "conv2d_utils.h"
+#include "utils.h"
+
 // #define DEBUG_MODE
 
 using namespace executorch::vulkan::prototyping;
@@ -24,22 +26,14 @@ static constexpr int64_t kRefDimSizeLimit = 100;
 // Utility function to create a test case from a Conv2dConfig
 TestCase create_test_case_from_config(
     const Conv2dConfig& config,
-    utils::StorageType storage_type,
     vkapi::ScalarType input_dtype,
-    utils::StorageType interm_storage_type) {
+    utils::StorageType fp_storage_type,
+    utils::StorageType int8_storage_type) {
   TestCase test_case;
-
-  // Create a descriptive name for the test case
-  std::string storage_str =
-      (storage_type == utils::kTexture3D) ? "Texture3D" : "Buffer";
-  std::string dtype_str = (input_dtype == vkapi::kFloat) ? "Float" : "Half";
-
-  std::string test_name =
-      config.test_case_name + "_" + storage_str + "_" + dtype_str;
-  test_case.set_name(test_name);
+  test_case.set_name(config.test_case_name);
 
   std::string operator_suffix = ".test";
-  if (interm_storage_type == utils::kTexture3D) {
+  if (int8_storage_type == utils::kTexture3D) {
     operator_suffix += "_texture";
   } else {
     operator_suffix += "_buffer";
@@ -57,15 +51,15 @@ TestCase create_test_case_from_config(
   std::vector<int64_t> input_size = {
       1, config.channels.in, config.input_size.h, config.input_size.w};
 
-  utils::GPUMemoryLayout io_memory_layout = storage_type == utils::kBuffer
+  utils::GPUMemoryLayout fp_memory_layout = fp_storage_type == utils::kBuffer
       ? utils::kWidthPacked
       : utils::kChannelsPacked;
 
   ValueSpec input_tensor(
       input_size,
       input_dtype,
-      storage_type,
-      io_memory_layout,
+      fp_storage_type,
+      fp_memory_layout,
 #ifdef DEBUG_MODE
       DataGenType::RANDOM
 #else
@@ -93,7 +87,7 @@ TestCase create_test_case_from_config(
   ValueSpec quantized_weight(
       weight_size,
       vkapi::kChar, // int8 for quantized weights
-      storage_type,
+      fp_storage_type,
       utils::kWidthPacked,
       DataGenType::RANDINT8);
   quantized_weight.set_constant(true);
@@ -108,15 +102,15 @@ TestCase create_test_case_from_config(
   ValueSpec weight_scales(
       {aligned_out_channels}, // Per output channel
       input_dtype,
-      storage_type,
+      fp_storage_type,
       utils::kWidthPacked,
       DataGenType::RANDOM_SCALES);
   weight_scales.set_constant(true);
 
   ValueSpec weight_sums(
       {aligned_out_channels}, // Per output channel
       vkapi::kInt,
-      storage_type,
+      fp_storage_type,
       utils::kWidthPacked,
       DataGenType::ZEROS);
   weight_sums.set_constant(true);
@@ -129,13 +123,12 @@ TestCase create_test_case_from_config(
   ValueSpec bias(
       {aligned_out_channels}, // Per output channel
       input_dtype,
-      storage_type,
+      fp_storage_type,
       utils::kWidthPacked,
       DataGenType::ZEROS);
   bias.set_constant(true);
 
   // Output quantization parameters
-  // float output_scale_val = 0.01432;
   float output_scale_val = 0.05314;
   ValueSpec output_scale(output_scale_val);
 
@@ -157,8 +150,8 @@ TestCase create_test_case_from_config(
   ValueSpec output(
       {1, config.channels.out, H_out, W_out},
       input_dtype,
-      storage_type,
-      io_memory_layout,
+      fp_storage_type,
+      fp_memory_layout,
       DataGenType::ZEROS);
 
   // Add all specs to test case for q8ta_q8csw_q8to operation
@@ -200,18 +193,16 @@ std::vector<TestCase> generate_quantized_conv2d_easy_cases() {
   };
   config.op_name = "conv2d_q8ta_q8csw_q8to";
 
-  // Test with both storage types and data types for completeness
   std::vector<utils::StorageType> storage_types = {
       utils::kTexture3D, utils::kBuffer};
-  std::vector<vkapi::ScalarType> float_types = {vkapi::kFloat};
 
   // Generate test cases for each combination
-  for (const auto& storage_type : storage_types) {
-    for (const auto& input_dtype : float_types) {
+  for (const utils::StorageType fp_storage_type : storage_types) {
+    for (const utils::StorageType int8_storage_type : storage_types) {
+      config.test_case_name = make_test_case_name(
+          config, false, fp_storage_type, int8_storage_type);
       test_cases.push_back(create_test_case_from_config(
-          config, storage_type, input_dtype, utils::kBuffer));
-      test_cases.push_back(create_test_case_from_config(
-          config, storage_type, input_dtype, utils::kTexture3D));
+          config, vkapi::kFloat, fp_storage_type, int8_storage_type));
     }
   }
 
@@ -221,6 +212,9 @@ std::vector<TestCase> generate_quantized_conv2d_easy_cases() {
 // Generate test cases for quantized conv2d operation
 std::vector<TestCase> generate_quantized_conv2d_test_cases() {
   std::vector<TestCase> test_cases;
+  if (!vkcompute::api::context()->adapter_ptr()->supports_int8_dot_product()) {
+    return test_cases;
+  }
 
   std::vector<Conv2dConfig> configs = {
       // Pointwise convolutions: kernel size 1x1
@@ -317,7 +311,7 @@ std::vector<TestCase> generate_quantized_conv2d_test_cases() {
        Padding(2, 2),
        Dilation(1, 1),
        4},
-      // Performance cases (pointwise)
+      // Performance cases (pointwise - will use im2col)
       {OutInChannels(128, 128),
        InputSize2D(128, 128),
        KernelSize(1, 1),
@@ -332,7 +326,7 @@ std::vector<TestCase> generate_quantized_conv2d_test_cases() {
        Padding(0, 0),
        Dilation(1, 1),
        1},
-      // Performance cases (general 2d convs)
+      // Performance cases (3x3 convs - will use im2col)
       {OutInChannels(32, 3),
        InputSize2D(256, 256),
        KernelSize(3, 3),
@@ -354,6 +348,21 @@ std::vector<TestCase> generate_quantized_conv2d_test_cases() {
        Padding(1, 1),
        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(128, 128),
+       KernelSize(3, 3),
+       Stride(2, 2),
+       Padding(1, 1),
+       Dilation(1, 1),
+       3},
       {OutInChannels(128, 128),
        InputSize2D(128, 128),
        KernelSize(5, 5),
@@ -368,32 +377,19 @@ std::vector<TestCase> generate_quantized_conv2d_test_cases() {
 
   // Generate test cases for each combination
   for (auto& config : configs) {
-    for (const auto& storage_type : storage_types) {
-      // Generate test case name programmatically
-      bool is_performance = config.channels.out > kRefDimSizeLimit ||
-          config.channels.in > kRefDimSizeLimit ||
-          config.input_size.h > kRefDimSizeLimit ||
-          config.input_size.w > kRefDimSizeLimit;
-      std::string prefix = is_performance ? "performance_" : "correctness_";
-      std::string suffix = std::to_string(config.channels.out) + "/" +
-          std::to_string(config.channels.in) + "_" +
-          std::to_string(config.input_size.h) + "/" +
-          std::to_string(config.input_size.w) + "_" +
-          std::to_string(config.kernel.h) + "/" +
-          std::to_string(config.kernel.w);
-
-      config.op_name = "conv2d_q8ta_q8csw_q8to";
-      config.test_case_name = prefix + suffix;
-
-      // Only test q8ta_q8csw_q8to if the int8 dot product extension is
-      // supported
-      if (vkcompute::api::context()
-              ->adapter_ptr()
-              ->supports_int8_dot_product()) {
-        test_cases.push_back(create_test_case_from_config(
-            config, storage_type, vkapi::kFloat, utils::kBuffer));
+    bool is_performance = config.channels.out > kRefDimSizeLimit ||
+        config.channels.in > kRefDimSizeLimit ||
+        config.input_size.h > kRefDimSizeLimit ||
+        config.input_size.w > kRefDimSizeLimit;
+
+    config.op_name = "conv2d_q8ta_q8csw_q8to";
+
+    for (const utils::StorageType fp_storage_type : storage_types) {
+      for (const utils::StorageType int8_storage_type : storage_types) {
+        config.test_case_name = make_test_case_name(
+            config, is_performance, fp_storage_type, int8_storage_type);
         test_cases.push_back(create_test_case_from_config(
-            config, storage_type, vkapi::kFloat, utils::kTexture3D));
+            config, vkapi::kFloat, fp_storage_type, int8_storage_type));
       }
     }
   }