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, 0 insertions, 46 deletions

diff --git a/source/application/tensorflow-lite-micro/TensorFlowLiteMicro.cc b/source/application/tensorflow-lite-micro/TensorFlowLiteMicro.cc
deleted file mode 100644
index 8738e5c..0000000
--- a/source/application/tensorflow-lite-micro/TensorFlowLiteMicro.cc
+++ /dev/null
@@ -1,46 +0,0 @@
-/*
- * 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"
-
-void PrintTensorFlowVersion()
-{}
-
-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;
-}
-
-extern "C" void DebugLog(const char* s)
-{
-    puts(s);
-}