[ET-VK][Ops] quantize ops skeleton test framework

backends/vulkan/test/op_tests/quantize_test.cpp

@@ -0,0 +1,276 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <gtest/gtest.h>
+
+#include <ATen/ATen.h>
+
+#include <executorch/backends/vulkan/runtime/api/api.h>
+#include <executorch/backends/vulkan/runtime/graph/ComputeGraph.h>
+#include <executorch/backends/vulkan/runtime/graph/ops/OperatorRegistry.h>
+
+#include <executorch/extension/aten_util/make_aten_functor_from_et_functor.h>
+#include <executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h>
+
+#include <cassert>
+#include <iostream>
+
+namespace torch {
+namespace executor {
+namespace native {
+
+// Forward declarations of the functions we're testing
+Tensor& quantize_per_tensor_out(
+    const Tensor& input,
+    double scale,
+    int64_t zero_point,
+    int64_t quant_min,
+    int64_t quant_max,
+    ScalarType dtype,
+    Tensor& out);
+
+Tensor& quantize_per_token_out(
+    const Tensor& input,
+    const Tensor& scale,
+    const Tensor& zero_point,
+    int64_t quant_min,
+    int64_t quant_max,
+    ScalarType dtype,
+    Tensor& out);
+
+// Wrapper function for quantize_per_tensor_out without context
+Tensor& quantize_per_tensor_out_no_context(
+    const Tensor& input,
+    double scale,
+    int64_t zero_point,
+    int64_t quant_min,
+    int64_t quant_max,
+    ScalarType dtype,
+    Tensor& out) {
+  return torch::executor::native::quantize_per_tensor_out(
+      input, scale, zero_point, quant_min, quant_max, dtype, out);
+}
+
+// Wrapper function for quantize_per_token_out without context
+Tensor& quantize_per_token_out_no_context(
+    const Tensor& input,
+    const Tensor& scale,
+    const Tensor& zero_point,
+    int64_t quant_min,
+    int64_t quant_max,
+    ScalarType dtype,
+    Tensor& out) {
+  return torch::executor::native::quantize_per_token_out(
+      input, scale, zero_point, quant_min, quant_max, dtype, out);
+}
+
+// ATen wrapper for quantize_per_tensor
+at::Tensor quantize_per_tensor_aten(
+    const at::Tensor& input,
+    double scale,
+    int64_t zero_point,
+    int64_t quant_min,
+    int64_t quant_max,
+    at::ScalarType dtype) {
+  auto out = at::empty_like(input, dtype);
+  // Convert at::ScalarType to executorch::ScalarType
+  ScalarType et_dtype;
+  switch (dtype) {
+    case at::kByte:
+      et_dtype = ScalarType::Byte;
+      break;
+    case at::kChar:
+      et_dtype = ScalarType::Char;
+      break;
+    case at::kShort:
+      et_dtype = ScalarType::Short;
+      break;
+    case at::kInt:
+      et_dtype = ScalarType::Int;
+      break;
+    case at::kLong:
+      et_dtype = ScalarType::Long;
+      break;
+    case at::kFloat:
+      et_dtype = ScalarType::Float;
+      break;
+    case at::kDouble:
+      et_dtype = ScalarType::Double;
+      break;
+    default:
+      throw std::runtime_error("Unsupported dtype");
+  }
+
+  WRAP_TO_ATEN(quantize_per_tensor_out_no_context, 6)
+  (input, scale, zero_point, quant_min, quant_max, et_dtype, out);
+  return out;
+}
+
+// ATen wrapper for quantize_per_token
+at::Tensor quantize_per_token_aten(
+    const at::Tensor& input,
+    const at::Tensor& scale,
+    const at::Tensor& zero_point,
+    int64_t quant_min,
+    int64_t quant_max,
+    at::ScalarType dtype) {
+  auto out = at::empty_like(input, dtype);
+  // Convert at::ScalarType to executorch::ScalarType
+  ScalarType et_dtype;
+  switch (dtype) {
+    case at::kByte:
+      et_dtype = ScalarType::Byte;
+      break;
+    case at::kChar:
+      et_dtype = ScalarType::Char;
+      break;
+    case at::kShort:
+      et_dtype = ScalarType::Short;
+      break;
+    case at::kInt:
+      et_dtype = ScalarType::Int;
+      break;
+    case at::kLong:
+      et_dtype = ScalarType::Long;
+      break;
+    case at::kFloat:
+      et_dtype = ScalarType::Float;
+      break;
+    case at::kDouble:
+      et_dtype = ScalarType::Double;
+      break;
+    default:
+      throw std::runtime_error("Unsupported dtype");
+  }
+
+  WRAP_TO_ATEN(quantize_per_token_out_no_context, 6)
+  (input, scale, zero_point, quant_min, quant_max, et_dtype, out);
+  return out;
+}
+
+} // namespace native
+} // namespace executor
+} // namespace torch
+
+//
+// Test functions
+//
+
+// Helper function to get the name of a ScalarType for better error messages
+std::string scalar_type_name(c10::ScalarType dtype) {
+  switch (dtype) {
+    case c10::kLong:
+      return "c10::kLong";
+    case c10::kShort:
+      return "c10::kShort";
+    case c10::kComplexHalf:
+      return "c10::kComplexHalf";
+    case c10::kComplexFloat:
+      return "c10::kComplexFloat";
+    case c10::kComplexDouble:
+      return "c10::kComplexDouble";
+    case c10::kBool:
+      return "c10::kBool";
+    case c10::kQInt8:
+      return "c10::kQInt8";
+    case c10::kQUInt8:
+      return "c10::kQUInt8";
+    case c10::kQInt32:
+      return "c10::kQInt32";
+    case c10::kBFloat16:
+      return "c10::kBFloat16";
+    case c10::kQUInt4x2:
+      return "c10::kQUInt4x2";
+    case c10::kQUInt2x4:
+      return "c10::kQUInt2x4";
+    default:
+      return "Unknown(" + std::to_string(static_cast<int>(dtype)) + ")";
+  }
+}
+
+vkcompute::vkapi::ScalarType from_at_scalartype(c10::ScalarType at_scalartype) {
+  using namespace vkcompute;
+  switch (at_scalartype) {
+    case c10::kFloat:
+      return vkapi::kFloat;
+    case c10::kHalf:
+      return vkapi::kHalf;
+    case c10::kInt:
+      return vkapi::kInt;
+    case c10::kLong:
+      // We don't have inherent vkapi::kLong, use kInt instead
+      return vkapi::kInt;
+    case c10::kChar:
+      return vkapi::kChar;
+    case c10::kByte:
+      return vkapi::kByte;
+    case c10::kDouble:
+      return vkapi::kDouble;
+    case c10::kShort:
+      return vkapi::kShort;
+    case c10::kUInt16:
+      return vkapi::kUInt16;
+    default:
+      VK_THROW(
+          "Unsupported at::ScalarType: ",
+          scalar_type_name(at_scalartype),
+          " (",
+          static_cast<int>(at_scalartype),
+          ")");
+  }
+}
+
+void check_quantize_args(
+    int64_t quant_min,
+    int64_t quant_max,
+    c10::ScalarType out_dtype) {
+  using namespace vkcompute;
+  int32_t quant_min_lower_bound = 0, quant_max_upper_bound = 0;
+  switch (out_dtype) {
+    case c10::kByte:
+      quant_min_lower_bound =
+          static_cast<int32_t>(std::numeric_limits<uint8_t>::min());
+      quant_max_upper_bound =
+          static_cast<int32_t>(std::numeric_limits<uint8_t>::max());
+      break;
+    case c10::kChar:
+      quant_min_lower_bound =
+          static_cast<int32_t>(std::numeric_limits<int8_t>::min());
+      quant_max_upper_bound =
+          static_cast<int32_t>(std::numeric_limits<int8_t>::max());
+      break;
+    case c10::kBits16:
+    case c10::kUInt16:
+      quant_min_lower_bound = std::numeric_limits<uint16_t>::min();
+      quant_max_upper_bound = std::numeric_limits<uint16_t>::max();
+      break;
+    case c10::kShort:
+      quant_min_lower_bound = std::numeric_limits<int16_t>::min();
+      quant_max_upper_bound = std::numeric_limits<int16_t>::max();
+      break;
+    case c10::kInt:
+      quant_min_lower_bound = std::numeric_limits<int32_t>::min();
+      quant_max_upper_bound = std::numeric_limits<int32_t>::max();
+      break;
+    default:
+      VK_CHECK_COND(false, "Unsupported dtype: ", scalar_type_name(out_dtype));
+  }
+  VK_CHECK_COND(
+      quant_min >= quant_min_lower_bound,
+      "quant_min out of bound for dtype, expected quant_min_lower_bound: ",
+      quant_min_lower_bound,
+      " actual quant_min: ",
+      quant_min);
+
+  VK_CHECK_COND(
+      quant_max <= quant_max_upper_bound,
+      "quant_max out of bound for dtype, expected quant_max_upper_bound: ",
+      quant_max_upper_bound,
+      " actual quant_max: ",
+      quant_max);
+}

backends/vulkan/test/op_tests/targets.bzl

@@ -148,5 +148,13 @@ def define_common_targets(is_fbcode = False):
             "//executorch/extension/tensor:tensor",
         ]
     )
+    define_test_targets(
+        "quantize_test",
+        extra_deps = [
+            "//executorch/kernels/quantized/cpu:op_quantize",
+            "//executorch/extension/tensor:tensor",
+            "//executorch/extension/aten_util:aten_bridge",
+        ]
+    )
     define_test_targets("linear_weight_int4_test")
     define_test_targets("rotary_embedding_test")