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https://github.com/jomjol/AI-on-the-edge-device.git
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rolling 20210708
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@@ -456,8 +456,8 @@ typedef struct TfLiteTensor {
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} TfLiteTensor;
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// A structure representing an instance of a node.
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// This structure only exhibits the inputs, outputs and user defined data, not
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// other features like the type.
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// This structure only exhibits the inputs, outputs, user defined data and some
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// node properties (like statefulness), not other features like the type.
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typedef struct TfLiteNode {
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// Inputs to this node expressed as indices into the simulator's tensors.
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TfLiteIntArray* inputs;
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@@ -490,6 +490,9 @@ typedef struct TfLiteNode {
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// created by calling `interpreter.ModifyGraphWithDelegate`.
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// WARNING: This is an experimental interface that is subject to change.
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struct TfLiteDelegate* delegate;
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// Whether this op might have side effect (e.g. stateful op).
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bool might_have_side_effect;
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} TfLiteNode;
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#else // defined(TF_LITE_STATIC_MEMORY)?
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// NOTE: This flag is opt-in only at compile time.
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@@ -640,6 +643,7 @@ typedef struct TfLiteContext {
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// TfLiteDelegates can traverse the current execution plan by iterating
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// through each member of this array and using GetNodeAndRegistration() to
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// access details about a node. i.e.
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//
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// TfLiteIntArray* execution_plan;
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// TF_LITE_ENSURE_STATUS(context->GetExecutionPlan(context, &execution_plan));
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// for (int exec_index = 0; exec_index < execution_plan->size; exec_index++) {
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@@ -648,6 +652,28 @@ typedef struct TfLiteContext {
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// TfLiteRegistration* reg;
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// context->GetNodeAndRegistration(context, node_index, &node, ®);
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// }
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// Note: the memory pointed by '`*execution_plan` is OWNED by TfLite runtime.
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// Future calls to GetExecutionPlan invalidates earlier outputs. The following
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// code snippet shows the issue of such an invocation pattern. After calling
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// CheckNode, subsequent access to `plan_1st` is undefined.
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//
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// void CheckNode(const TfLiteNode* node) {
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// ...
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// TfLiteIntArray* plan_2nd;
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// TF_LITE_ENSURE_STATUS(context->GetExecutionPlan(context, &plan_2nd));
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// ...
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// }
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//
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// TfLiteIntArray* plan_1st;
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// TF_LITE_ENSURE_STATUS(context->GetExecutionPlan(context, &plan_1st));
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// for (int exec_index = 0; exec_index < plan_1st->size; exec_index++) {
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// int node_index = plan_1st->data[exec_index];
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// TfLiteNode* node;
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// TfLiteRegistration* reg;
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// context->GetNodeAndRegistration(context, node_index, &node, ®);
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// CheckNode(node);
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// }
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//
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// WARNING: This is an experimental interface that is subject to change.
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TfLiteStatus (*GetExecutionPlan)(struct TfLiteContext* context,
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TfLiteIntArray** execution_plan);
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@@ -777,6 +803,18 @@ typedef struct TfLiteContext {
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// WARNING: This method may not be available on all platforms.
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TfLiteEvalTensor* (*GetEvalTensor)(const struct TfLiteContext* context,
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int tensor_idx);
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// Retrieves named metadata buffer from the TFLite model.
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// Returns kTfLiteOk if metadata is successfully obtained from the flatbuffer
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// Model: that is, there exists a `metadata` entry with given `name` string.
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// (see TFLite's schema.fbs).
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// The corresponding `buffer` information is populated in `ptr` & `bytes`.
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// The data from `ptr` is valid for the lifetime of the Interpreter.
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//
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// WARNING: This is an experimental interface that is subject to change.
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TfLiteStatus (*GetModelMetadata)(const struct TfLiteContext* context,
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const char* name, const char** ptr,
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size_t* bytes);
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} TfLiteContext;
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typedef struct TfLiteRegistration {
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@@ -918,7 +956,7 @@ typedef struct TfLiteDelegate {
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// Build a 'null' delegate, with all the fields properly set to their default
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// values.
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TfLiteDelegate TfLiteDelegateCreate();
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TfLiteDelegate TfLiteDelegateCreate(void);
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#ifdef __cplusplus
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} // extern "C"
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