MLECO-3183: Refactoring application sources

Platform agnostic application sources are moved into application
api module with their own independent CMake projects.

Changes for MLECO-3080 also included - they create CMake projects
individial API's (again, platform agnostic) that dependent on the
common logic. The API for KWS_API "joint" API has been removed and
now the use case relies on individual KWS, and ASR API libraries.

Change-Id: I1f7748dc767abb3904634a04e0991b74ac7b756d
Signed-off-by: Kshitij Sisodia <kshitij.sisodia@arm.com>

1 files changed, 91 insertions, 0 deletions

diff --git a/source/application/api/common/include/TensorFlowLiteMicro.hpp b/source/application/api/common/include/TensorFlowLiteMicro.hpp
new file mode 100644
index 0000000..f6639fd
--- /dev/null
+++ b/source/application/api/common/include/TensorFlowLiteMicro.hpp
@@ -0,0 +1,91 @@
+/*
+ * 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.
+ */
+#ifndef TENSORFLOW_LITE_MICRO_LOCAL_HPP
+#define TENSORFLOW_LITE_MICRO_LOCAL_HPP
+
+/* We include all our TensorFlow Lite Micro headers here */
+
+/**
+ * TensorFlow Lite Micro sources can generate a lot of warnings from the usage
+ * of a single macro (TF_LITE_REMOVE_VIRTUAL_DELETE). Suppress the known ones
+ * here to prevent them from masking warnings that might be generated by our
+ * application sources.
+ */
+#if defined(__ARMCC_VERSION) && (__ARMCC_VERSION >= 6010050)
+    #pragma clang diagnostic push
+    #pragma clang diagnostic ignored "-Wunused-parameter"
+    #include "tensorflow/lite/micro/micro_mutable_op_resolver.h"
+    #include "tensorflow/lite/micro/micro_interpreter.h"
+    #include "tensorflow/lite/micro/micro_error_reporter.h"
+    #include "tensorflow/lite/micro/all_ops_resolver.h"
+    #pragma clang diagnostic pop
+#elif defined(__GNUC__)
+    #pragma GCC diagnostic push
+    #pragma GCC diagnostic ignored "-Wunused-parameter"
+    #include "tensorflow/lite/micro/micro_mutable_op_resolver.h"
+    #include "tensorflow/lite/micro/micro_interpreter.h"
+    #include "tensorflow/lite/micro/micro_error_reporter.h"
+    #include "tensorflow/lite/micro/all_ops_resolver.h"
+    #pragma GCC diagnostic pop
+#else
+    #include "tensorflow/lite/micro/micro_mutable_op_resolver.h"
+    #include "tensorflow/lite/micro/micro_interpreter.h"
+    #include "tensorflow/lite/micro/micro_error_reporter.h"
+    #include "tensorflow/lite/micro/all_ops_resolver.h"
+#endif
+
+#include "tensorflow/lite/c/common.h"
+#include "tensorflow/lite/micro/kernels/micro_ops.h"
+#include "tensorflow/lite/schema/schema_generated.h"
+#include "tensorflow/lite/schema/schema_utils.h"
+
+#if defined (TESTS)
+    #include "tensorflow/lite/micro/test_helpers.h"
+#endif /* defined (TESTS) */
+
+namespace arm {
+namespace app {
+
+    /** Struct for quantization parameters. */
+    struct QuantParams {
+        float   scale   = 1.0;
+        int     offset  = 0;
+    };
+
+    /**
+     * @brief       Gets the quantization parameters from a tensor
+     * @param[in]   tensor  pointer to the tensor.
+     * @return      QuantParams object.
+     */
+    QuantParams GetTensorQuantParams(TfLiteTensor* tensor);
+
+    /**
+     * @brief   String logging functionality expected to be defined
+     *          by TensorFlow Lite Micro's error reporter.
+     * @param[in]   s   Pointer to the string.
+     */
+    extern "C" void DebugLog(const char* s);
+
+} /* namespace app */
+} /* namespace arm */
+
+/**
+ * @brief Prints the tensor flow version in use to stdout.
+ */
+void PrintTensorFlowVersion();
+
+#endif /* TENSORFLOW_LITE_MICRO_LOCAL_HPP */