Add initial TOSA MI generator support

Add support for dot-product MatMul - test set 0

Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: Ifd15b42570014b634f59c94a1fd1cd56bac79ea4
Signed-off-by: Jeremy Johnson <jeremy.johnson@arm.com>

1 files changed, 115 insertions, 0 deletions

diff --git a/reference_model/test/generate_tests.cpp b/reference_model/test/generate_tests.cpp
new file mode 100644
index 0000000..88dc979
--- /dev/null
+++ b/reference_model/test/generate_tests.cpp
@@ -0,0 +1,115 @@
+// Copyright (c) 2023, ARM Limited.
+//
+//    Licensed under the Apache License, Version 2.0 (the "License");
+//    you may not use this file except in compliance with the License.
+//    You may obtain a copy of the License at
+//
+//         http://www.apache.org/licenses/LICENSE-2.0
+//
+//    Unless required by applicable law or agreed to in writing, software
+//    distributed under the License is distributed on an "AS IS" BASIS,
+//    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+//    See the License for the specific language governing permissions and
+//    limitations under the License.
+#include "generate.h"
+
+#include <doctest.h>
+
+#include <array>
+#include <string>
+#include <vector>
+
+TEST_SUITE_BEGIN("generate");
+
+TEST_CASE("negative - api")
+{
+    std::string json_cfg = R"({
+        "tensors" : {
+            "in1" : {
+                "generator": "DOT_PRODUCT",
+                "data_type": "FP32",
+                "input_type": "VARIABLE",
+                "shape" : [ 4, 8, 8 ],
+                "input_pos": 0,
+                "op" : "MATMUL",
+                "dot_product_info": {
+                    "s": 0,
+                    "ks": 10,
+                    "acc_type": "FP32"
+                }
+            }
+        }
+    })";
+
+    const std::string tosaName = "in1";
+    const size_t tosaElements  = 4 * 8 * 8;
+    const size_t tosaSize      = tosaElements * 4;
+
+    SUBCASE("missing input")
+    {
+        REQUIRE_FALSE(tgd_generate_data(NULL, NULL, NULL, 0));
+    }
+    SUBCASE("invalid json")
+    {
+        std::string invalid_json_cfg = R"({
+            "tensors" : {
+                "in1" : {
+                    "generator": DOT_PRODUCT,
+                },
+            }
+        })";
+
+        std::vector<float> buffer(tosaElements);
+        REQUIRE_FALSE(tgd_generate_data(invalid_json_cfg.c_str(), tosaName.c_str(), (void*)buffer.data(), tosaSize));
+    }
+    SUBCASE("invalid json - mismatching name")
+    {
+        std::string invalidName = "notFound1";
+
+        std::vector<float> buffer(tosaElements);
+        REQUIRE_FALSE(tgd_generate_data(json_cfg.c_str(), invalidName.c_str(), (void*)buffer.data(), tosaSize));
+    }
+    SUBCASE("mismatching size")
+    {
+        size_t smallElements = 4 * 8 * 7;
+        size_t smallSize     = smallElements * 4;
+
+        std::vector<float> buffer(smallElements);
+        REQUIRE_FALSE(tgd_generate_data(json_cfg.c_str(), tosaName.c_str(), (void*)buffer.data(), smallSize));
+    }
+}
+
+TEST_CASE("positive - dot product")
+{
+    std::string json_cfg = R"({
+        "tensors" : {
+            "in1" : {
+                "generator": "DOT_PRODUCT",
+                "data_type": "FP32",
+                "input_type": "VARIABLE",
+                "shape" : [ 4, 8, 8 ],
+                "input_pos": 0,
+                "op" : "MATMUL",
+                "dot_product_info": {
+                    "s": 0,
+                    "ks": 10,
+                    "acc_type": "FP32"
+                }
+            }
+        }
+    })";
+
+    const std::string tosaName = "in1";
+    const size_t tosaElements  = 4 * 8 * 8;
+    const size_t tosaSize      = tosaElements * 4;
+
+    SUBCASE("matmul")
+    {
+        std::vector<float> buffer(tosaElements);
+        REQUIRE(tgd_generate_data(json_cfg.c_str(), tosaName.c_str(), (void*)buffer.data(), tosaSize));
+        REQUIRE(buffer[0] == (float)-0.950864);
+        REQUIRE(buffer[1] == 0.f);
+    }
+}
+
+TEST_SUITE_END();    // generate
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