[ET-VK][testing] Improvement to operator test codegen system (pytorch#11972)

## Changes

* Allow test cases to specify storage types / memory layouts for individual args
* Allow test cases to specify different data generation functions for individual args

## Motivation

> Allow test cases to specify storage types / memory layouts for individual args

Make it possible to test args that require specific storage types for certain input/output tensors.

> Allow test cases to specify different data generation functions for individual args

Useful for debugging operators during development.

Differential Revision: [D77038777](https://our.internmc.facebook.com/intern/diff/D77038777/)

Author: pytorchbot

backends/vulkan/test/op_tests/utils/gen_computegraph.py

@@ -58,6 +58,8 @@ class ValueRef:
     src_cpp_type: str
     is_in: bool = False
     is_out: bool = False
+    fixed_storage_type: Optional[str] = None
+    fixed_memory_layout: Optional[str] = None
     requires_prepack: bool = False
     supports_prepack: bool = False
     # When is_dynamic_size is true, the underlying object size is not known
@@ -137,20 +139,43 @@ def __init__(
             if arg.name in self.suite_def.prepacked_args:
                 supports_prepack = True
 
+            fixed_storage_type = None
+            if arg.name in self.suite_def.arg_storage_types:
+                fixed_storage_type = self.suite_def.arg_storage_types[arg.name]
+
+            fixed_memory_layout = None
+            if arg.name in self.suite_def.arg_memory_layouts:
+                fixed_memory_layout = self.suite_def.arg_memory_layouts[arg.name]
+
             self.refs[arg.name] = ValueRef(
                 name=f"{arg.name}_ref",
                 src_cpp_name=arg.name,
                 src_cpp_type=cpp_type,
                 is_in=(cpp_type in InableCppType),
+                fixed_storage_type=fixed_storage_type,
+                fixed_memory_layout=fixed_memory_layout,
                 requires_prepack=requires_prepack,
                 supports_prepack=supports_prepack,
             )
 
         ret_type = cpp.returns_type(self.f.func.returns, symint=False).cpp_type()
         self.out = ATenArg(name="out", cpp_type=ret_type, default=None)
+
+        fixed_storage_type = None
+        if "out" in self.suite_def.arg_storage_types:
+            fixed_storage_type = self.suite_def.arg_storage_types["out"]
+        fixed_memory_layout = None
+        if "out" in self.suite_def.arg_memory_layouts:
+            fixed_memory_layout = self.suite_def.arg_memory_layouts["out"]
+
         if ret_type == AT_TENSOR:
             self.refs["out"] = ValueRef(
-                name="out_ref", src_cpp_name="out", src_cpp_type=ret_type, is_out=True
+                name="out_ref",
+                src_cpp_name="out",
+                src_cpp_type=ret_type,
+                is_out=True,
+                fixed_storage_type=fixed_storage_type,
+                fixed_memory_layout=fixed_memory_layout,
             )
         elif ret_type == TWO_TENSOR_TUPLE:
             self.refs["out"] = [
@@ -159,12 +184,24 @@ def __init__(
                     src_cpp_name="std::get<0>(out)",
                     src_cpp_type="at::Tensor",
                     is_out=True,
+                    fixed_storage_type=(
+                        fixed_storage_type[0] if fixed_storage_type else None
+                    ),
+                    fixed_memory_layout=(
+                        fixed_memory_layout[0] if fixed_memory_layout else None
+                    ),
                 ),
                 ValueRef(
                     name="out_ref_second",
                     src_cpp_name="std::get<1>(out)",
                     src_cpp_type="at::Tensor",
                     is_out=True,
+                    fixed_storage_type=(
+                        fixed_storage_type[1] if fixed_storage_type else None
+                    ),
+                    fixed_memory_layout=(
+                        fixed_memory_layout[1] if fixed_memory_layout else None
+                    ),
                 ),
                 ValueRef(
                     name="out_ref",
@@ -180,18 +217,36 @@ def __init__(
                     src_cpp_name="std::get<0>(out)",
                     src_cpp_type="at::Tensor",
                     is_out=True,
+                    fixed_storage_type=(
+                        fixed_storage_type[0] if fixed_storage_type else None
+                    ),
+                    fixed_memory_layout=(
+                        fixed_memory_layout[0] if fixed_memory_layout else None
+                    ),
                 ),
                 ValueRef(
                     name="out_ref_second",
                     src_cpp_name="std::get<1>(out)",
                     src_cpp_type="at::Tensor",
                     is_out=True,
+                    fixed_storage_type=(
+                        fixed_storage_type[1] if fixed_storage_type else None
+                    ),
+                    fixed_memory_layout=(
+                        fixed_memory_layout[1] if fixed_memory_layout else None
+                    ),
                 ),
                 ValueRef(
                     name="out_ref_third",
                     src_cpp_name="std::get<2>(out)",
                     src_cpp_type="at::Tensor",
                     is_out=True,
+                    fixed_storage_type=(
+                        fixed_storage_type[2] if fixed_storage_type else None
+                    ),
+                    fixed_memory_layout=(
+                        fixed_memory_layout[2] if fixed_memory_layout else None
+                    ),
                 ),
                 ValueRef(
                     name="out_ref",
@@ -302,7 +357,12 @@ def create_value_for(  # noqa: C901
                 ret_str += f"{self.graph}{self.dot}"
                 ret_str += "add_input_tensor(" if ref.is_in else "add_tensor("
                 ret_str += f"{ref.src_cpp_name}->sizes().vec(), "
-                ret_str += f"from_at_scalartype({ref.src_cpp_name}->scalar_type())); \n"
+                ret_str += f"from_at_scalartype({ref.src_cpp_name}->scalar_type()"
+                if ref.fixed_storage_type:
+                    ret_str += f", {ref.fixed_storage_type}"
+                if ref.fixed_memory_layout:
+                    ret_str += f", {ref.fixed_memory_layout}"
+                ret_str += "));\n"
             elif prepack:
                 ret_str += f"{self.graph}{self.dot}"
                 ret_str += f"add_tensorref({ref.src_cpp_name}->sizes().vec(), "
@@ -385,7 +445,12 @@ def create_value_for(  # noqa: C901
         elif ref.src_cpp_type == AT_TENSOR and not prepack:
             ret_str += "add_input_tensor(" if ref.is_in else "add_tensor("
             ret_str += f"{ref.src_cpp_name}.sizes().vec(), "
-            ret_str += f"from_at_scalartype({ref.src_cpp_name}.scalar_type())); \n"
+            ret_str += f"from_at_scalartype({ref.src_cpp_name}.scalar_type())"
+            if ref.fixed_storage_type:
+                ret_str += f", {ref.fixed_storage_type}"
+            if ref.fixed_memory_layout:
+                ret_str += f", {ref.fixed_memory_layout}"
+            ret_str += ");\n"
         elif ref.src_cpp_type == AT_TENSOR and prepack:
             ret_str += f"add_tensorref({ref.src_cpp_name}.sizes().vec(), "
             ret_str += f"from_at_scalartype({ref.src_cpp_name}.scalar_type()), "

backends/vulkan/test/op_tests/utils/gen_correctness_base.py

@@ -140,7 +140,13 @@ def call_data_gen_fn(self, arg: Argument, data: Any, terminate: bool = True) ->
             else self.suite_def.arg_data_range[arg.name]
         )
 
-        ret_str = f"{self.suite_def.data_gen}({init_list_str(data)}, {tensor_dtype}, {data_range[0]}, {data_range[1]})"
+        data_gen_fn = (
+            self.suite_def.data_gen
+            if arg.name not in self.suite_def.arg_data_gen_fn
+            else self.suite_def.arg_data_gen_fn[arg.name]
+        )
+
+        ret_str = f"{data_gen_fn}({init_list_str(data)}, {tensor_dtype}, {data_range[0]}, {data_range[1]})"
         if terminate:
             ret_str += ";"
 
@@ -288,13 +294,29 @@ def generate_suite_cpp(self) -> str:
 
   if (dtype == at::kBool)
     return at::rand(sizes, at::device(at::kCPU)) > 0.5;
-    
+
   if (high == 1.0 && low == 0.0)
     return at::rand(sizes, at::device(at::kCPU).dtype(dtype));
 
   return at::rand(sizes, at::device(at::kCPU).dtype(dtype)) * (high - low) + low;
 }}
 
+at::Tensor make_zeros_tensor(
+    std::vector<int64_t> sizes,
+    at::ScalarType dtype = at::kFloat,
+    float low = 0.0,
+    float high = 1.0) {{
+  return at::zeros(sizes, at::device(at::kCPU).dtype(dtype));
+}}
+
+at::Tensor make_ones_tensor(
+    std::vector<int64_t> sizes,
+    at::ScalarType dtype = at::kFloat,
+    float low = 0.0,
+    float high = 1.0) {{
+  return at::ones(sizes, at::device(at::kCPU).dtype(dtype));
+}}
+
 at::Tensor make_seq_tensor(
     std::vector<int64_t> sizes,
     at::ScalarType dtype = at::kFloat,

backends/vulkan/test/op_tests/utils/gen_correctness_vk.py

@@ -29,7 +29,6 @@ class GeneratedOpsTest_{op_name} : public ::testing::TestWithParam< ::std::tuple
 
   void SetUp() override {{
     GraphConfig config;
-    config.expect_dynamic_shapes = true;
     utils::StorageType default_storage_type;
     utils::GPUMemoryLayout default_memory_layout;
     std::tie(test_dtype, default_storage_type, default_memory_layout) = GetParam();

backends/vulkan/test/op_tests/utils/test_suite.py

@@ -5,7 +5,7 @@
 # LICENSE file in the root directory of this source tree.
 
 from dataclasses import dataclass
-from typing import Any, List, Optional
+from typing import Any, Dict, List, Optional
 
 ###################################
 ## Generic Test Suite definition ##
@@ -23,6 +23,7 @@ def __init__(self, input_cases: List[Any]):
         self.data_range = (0, 1)
 
         self.arg_dtype = {}
+        self.arg_data_gen_fn: Dict[str, str] = {}
         self.arg_data_range = {}
 
         self.atol: str = "1e-5"
@@ -48,3 +49,5 @@ def __init__(self, input_cases: List[Any]):
         self.layouts: List[str] = ["utils::kChannelsPacked"]
         self.data_gen: str = "make_rand_tensor"
         self.force_io: bool = True
+        self.arg_storage_types: Dict[str, str] = {}
+        self.arg_memory_layouts: Dict[str, str] = {}