add nnom pack and example

components/ai/nnom/inc/layers/nnom_simple_cell.h

@@ -0,0 +1,86 @@
+/*
+ * Copyright (c) 2018-2020
+ * Jianjia Ma
+ * majianjia@live.com
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Change Logs:
+ * Date           Author       Notes
+ * 2020-08-20     Jianjia Ma   The first version
+ */
+
+#ifndef __NNOM_SIMPLE_CELL_H__
+#define __NNOM_SIMPLE_CELL_H__
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+#include "nnom_rnn.h"
+#include "nnom_activation.h"
+
+
+// This Simple Cell replicate the Keras's SimpleCell as blow 
+/*
+ def call(self, inputs, states, training=None):
+    prev_output = states[0] if nest.is_sequence(states) else states
+
+	h = K.dot(inputs, self.kernel)
+	h = K.bias_add(h, self.bias)
+
+    output = h + K.dot(prev_output, self.recurrent_kernel)
+    output = self.activation(output)
+
+    new_state = [output] if nest.is_sequence(states) else output
+    return output, new_state
+*/
+
+// a machine interface for configuration
+typedef struct _nnom_simple_cell_config_t
+{
+	nnom_layer_config_t super;
+	nnom_tensor_t *weights;
+	nnom_tensor_t* recurrent_weights;
+	nnom_tensor_t *bias;
+	nnom_qformat_param_t q_dec_iw, q_dec_hw, q_dec_h;
+	nnom_activation_type_t act_type;		// type of the activation
+	uint16_t units;
+} nnom_simple_cell_config_t;
+
+
+typedef struct _nnom_simple_cell_t
+{
+	nnom_rnn_cell_t super;
+	nnom_activation_type_t act_type;
+
+	nnom_tensor_t* weights;
+	nnom_tensor_t* recurrent_weights;
+	nnom_tensor_t* bias;
+
+	// experimental, 
+	// iw: input x weight
+	// hw: hidden state x recurrent weight
+	// h: hidden state
+	nnom_qformat_param_t q_dec_iw, q_dec_hw, q_dec_h;
+	nnom_qformat_param_t oshift_iw, oshift_hw, bias_shift;
+	
+} nnom_simple_cell_t;
+
+
+// RNN cells
+// The shape for RNN input is (batch, timestamp, feature), where batch is always 1. 
+//
+// SimpleCell
+nnom_rnn_cell_t *simple_cell_s(const nnom_simple_cell_config_t* config);
+
+nnom_status_t simple_cell_free(nnom_rnn_cell_t* cell);
+nnom_status_t simple_cell_build(nnom_rnn_cell_t* cell);
+nnom_status_t simple_cell_run(nnom_rnn_cell_t* cell);
+
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif /* __NNOM_SIMPLE_CELL_H__ */