init

Author: metascroy

extension/benchmark/apple/Benchmark/Tests/GenericTests.mm

@@ -7,12 +7,7 @@
  */
 
 #import "ResourceTestCase.h"
-
-#import <executorch/extension/module/module.h>
-#import <executorch/extension/tensor/tensor.h>
-
-using namespace ::executorch::extension;
-using namespace ::executorch::runtime;
+#import "test_function.h"
 
 #define ASSERT_OK_OR_RETURN(value__)            \
   ({                                            \
@@ -37,7 +32,7 @@ @implementation GenericTests
 + (NSDictionary<NSString *, BOOL (^)(NSString *)> *)predicates {
   return @{
     @"model" : ^BOOL(NSString *filename){
-      return [filename hasSuffix:@".pte"];
+      return [filename hasSuffix:@".mlpackage"];
     },
   };
 }
@@ -50,46 +45,9 @@ @implementation GenericTests
       [testCase
           measureWithMetrics:@[ [XCTClockMetric new], [XCTMemoryMetric new] ]
                        block:^{
-                         XCTAssertEqual(
-                             Module(modelPath.UTF8String).load_forward(),
-                             Error::Ok);
+          XCTAssertEqual(prefill_no_kv_cache(), false);
                        }];
-    },
-    @"forward" : ^(XCTestCase *testCase) {
-      auto __block module = std::make_unique<Module>(modelPath.UTF8String);
-
-      const auto method_meta = module->method_meta("forward");
-      ASSERT_OK_OR_RETURN(method_meta);
-
-      const auto num_inputs = method_meta->num_inputs();
-      XCTAssertGreaterThan(num_inputs, 0);
-
-      std::vector<TensorPtr> tensors;
-      tensors.reserve(num_inputs);
-
-      for (auto index = 0; index < num_inputs; ++index) {
-        const auto input_tag = method_meta->input_tag(index);
-        ASSERT_OK_OR_RETURN(input_tag);
-
-        switch (*input_tag) {
-        case Tag::Tensor: {
-          const auto tensor_meta = method_meta->input_tensor_meta(index);
-          ASSERT_OK_OR_RETURN(tensor_meta);
-
-          const auto sizes = tensor_meta->sizes();
-          tensors.emplace_back(
-              ones({sizes.begin(), sizes.end()}, tensor_meta->scalar_type()));
-          XCTAssertEqual(module->set_input(tensors.back(), index), Error::Ok);
-        } break;
-        default:
-          XCTFail("Unsupported tag %i at input %d", *input_tag, index);
-        }
-      }
-      [testCase measureWithMetrics:@[ [XCTClockMetric new], [XCTMemoryMetric new] ]
-                            block:^{
-                              XCTAssertEqual(module->forward().error(), Error::Ok);
-                            }];
-    },
+    }
   };
 }
 

extension/benchmark/apple/Benchmark/Tests/test_function.h

@@ -0,0 +1,30 @@
+/*
+ * 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.
+ */
+
+
+#import <CoreML/CoreML.h>
+#import "model_no_kv.h"
+
+BOOL prefill_no_kv_cache(void) {
+    model_no_kv *model = [[model_no_kv alloc] init];
+    
+    MLMultiArray *tokens =  [[MLMultiArray alloc] initWithShape:(NSArray*)(@[@1, @512])
+                                              dataType:(MLMultiArrayDataType)MLMultiArrayDataTypeInt32
+                                                 error:nil] ;
+    
+    for (int i = 0; i < 512; i++) {
+        tokens[i] = @2;
+    }
+    model_no_kvInput *inputs = [[model_no_kvInput alloc] initWithTokens:tokens];
+    
+    for (int i = 0; i < 100; i++) {
+        model_no_kvOutput *output = [model predictionFromFeatures:inputs error:nil];
+    }
+    
+    return YES;
+}