Opensource ML embedded evaluation kit21.03

Change-Id: I12e807f19f5cacad7cef82572b6dd48252fd61fd

1 files changed, 47 insertions, 0 deletions

diff --git a/source/application/tensorflow-lite-micro/TensorFlowLiteMicro.cc b/source/application/tensorflow-lite-micro/TensorFlowLiteMicro.cc
new file mode 100644
index 0000000..ce36a8f
--- /dev/null
+++ b/source/application/tensorflow-lite-micro/TensorFlowLiteMicro.cc
@@ -0,0 +1,47 @@
+/*
+ * Copyright (c) 2021 Arm Limited. All rights reserved.
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * 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 "TensorFlowLiteMicro.hpp"
+
+#include "hal.h"
+
+void PrintTensorFlowVersion()
+{
+    info("uTFL version: %u.%u.%u\n", TF_MAJOR_VERSION, TF_MINOR_VERSION,
+        TF_PATCH_VERSION);
+}
+
+arm::app::QuantParams arm::app::GetTensorQuantParams(TfLiteTensor* tensor)
+{
+    arm::app::QuantParams params;
+    if (kTfLiteAffineQuantization == tensor->quantization.type) {
+        auto* quantParams = (TfLiteAffineQuantization*) (tensor->quantization.params);
+        if (quantParams && 0 == quantParams->quantized_dimension) {
+            if (quantParams->scale->size) {
+                params.scale = quantParams->scale->data[0];
+            }
+            if (quantParams->zero_point->size) {
+                params.offset = quantParams->zero_point->data[0];
+            }
+        } else if (tensor->params.scale != 0.0) {
+            /* Legacy tensorflow quantisation parameters */
+            params.scale = tensor->params.scale;
+            params.offset = tensor->params.zero_point;
+        }
+    }
+    return params;
+}
+