85 lines
2.1 KiB
C
85 lines
2.1 KiB
C
/*
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* Copyright (c) 2018-2020
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* Jianjia Ma
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* majianjia@live.com
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*
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* SPDX-License-Identifier: Apache-2.0
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*
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* Change Logs:
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* Date Author Notes
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* 2019-07-23 Jianjia Ma The first version
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*/
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#include <stdint.h>
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#include <string.h>
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#include <stdbool.h>
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#include "nnom.h"
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#include "nnom_local.h"
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#include "nnom_layers.h"
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#include "layers/nnom_flatten.h"
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nnom_layer_t *flatten_s(const nnom_flatten_config_t *config)
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{
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nnom_layer_t *layer = Flatten();
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if(layer)
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layer->config = (void*) config;
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return layer;
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}
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nnom_layer_t *Flatten(void)
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{
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nnom_layer_t *layer;
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nnom_layer_io_t *in, *out;
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// apply a block memory for all the sub handles.
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size_t mem_size = sizeof(nnom_layer_t) + sizeof(nnom_layer_io_t) * 2;
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layer = nnom_mem(mem_size);
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if (layer == NULL)
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return NULL;
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// distribut the memory to sub handles.
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in = (void *)((uint8_t*)layer + sizeof(nnom_layer_t));
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out = (void *)((uint8_t*)in + sizeof(nnom_layer_io_t));
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// set type in layer parent
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layer->type = NNOM_FLATTEN;
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layer->run = flatten_run;
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layer->build = flatten_build;
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// set buf state
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in->type = NNOM_TENSOR_BUF_TEMP;
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#ifdef NNOM_USING_CHW
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out->type = NNOM_TENSOR_BUF_TEMP; // test for CHW format
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#else
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out->type = NNOM_TENSOR_BUF_NULL;
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#endif
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// put in & out on the layer.
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layer->in = io_init(layer, in);
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layer->out = io_init(layer, out);
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return layer;
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}
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nnom_status_t flatten_build(nnom_layer_t *layer)
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{
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// get the tensor from last layer's output
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layer->in->tensor = layer->in->hook.io->tensor;
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// create new tensor for output
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layer->out->tensor = new_tensor(NNOM_QTYPE_PER_TENSOR, layer->in->tensor->num_dim, tensor_get_num_channel(layer->in->tensor));
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// setup new tensor
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nnom_shape_data_t dim[1] = {tensor_size(layer->in->tensor)};
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tensor_set_attr(layer->out->tensor, layer->in->tensor->q_dec, layer->in->tensor->q_offset, dim, 1, 8);
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return NN_SUCCESS;
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}
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nnom_status_t flatten_run(nnom_layer_t *layer)
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{
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#ifdef NNOM_USING_CHW
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// CHW format must reorder to HWC for dense layer and all other 1D layer (?)
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tensor_chw2hwc_q7(layer->out->tensor, layer->in->tensor);
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#endif
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return NN_SUCCESS;
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}
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