summaryrefslogtreecommitdiff
path: root/libs/tflite/include/tflite/ext/kernels/TensorFlowMax.h
diff options
context:
space:
mode:
Diffstat (limited to 'libs/tflite/include/tflite/ext/kernels/TensorFlowMax.h')
-rw-r--r--libs/tflite/include/tflite/ext/kernels/TensorFlowMax.h75
1 files changed, 75 insertions, 0 deletions
diff --git a/libs/tflite/include/tflite/ext/kernels/TensorFlowMax.h b/libs/tflite/include/tflite/ext/kernels/TensorFlowMax.h
new file mode 100644
index 000000000..d31d76483
--- /dev/null
+++ b/libs/tflite/include/tflite/ext/kernels/TensorFlowMax.h
@@ -0,0 +1,75 @@
+/*
+ * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * 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.
+ */
+
+/**
+ * @file TensorFlowMax.h
+ * @brief This file contains TensorFlowMax namespace and TensorFlowMax function definitions
+ * @ingroup COM_AI_RUNTIME
+ */
+
+#ifndef __NNFW_TFLITE_EXT_KERNELS_TENSORFLOW_MAX_H__
+#define __NNFW_TFLITE_EXT_KERNELS_TENSORFLOW_MAX_H__
+
+#include "tensorflow/contrib/lite/context.h"
+
+namespace nnfw
+{
+namespace tflite
+{
+namespace custom
+{
+namespace TensorFlowMax
+{
+
+/**
+ * @brief Initialize TensorFlowMax operand using the contents of buffer
+ * @param[in] context The TfLite context
+ * @param[in] buffer The buffer with contents
+ * @param[in] length The buffer length
+ * @return The void pointer for user data
+ */
+void *InitTensorFlowMax(TfLiteContext *context, const char *buffer, size_t length);
+
+/**
+ * @brief Release any memory it might have allocated via 'InitTensorFlowMax'
+ * @param[in] context The TfLite context
+ * @param[in] buffer The buffer with contents
+ * @return N/A
+ */
+void FreeTensorFlowMax(TfLiteContext *context, void *buffer);
+
+/**
+ * @brief Prepare the TensorFlowMax operand for execution
+ * @param[in] context The TfLite context
+ * @param[in] node The operand node
+ * @return The TfLite status
+ */
+TfLiteStatus PrepareTensorFlowMax(TfLiteContext *context, TfLiteNode *node);
+
+/**
+ * @brief Evaluation the TensorFlowMax operand for execution
+ * @param[in] context The TfLite context
+ * @param[in] node The operand node
+ * @return The TfLite status
+ */
+TfLiteStatus EvalTensorFlowMax(TfLiteContext *context, TfLiteNode *node);
+
+} // namespace TensorFlowMax
+} // namespace custom
+} // namespace tflite
+} // namespace nnfw
+
+#endif // __NNFW_TFLITE_EXT_KERNELS_TENSORFLOW_MAX_H__