80 lines
2.1 KiB
C
80 lines
2.1 KiB
C
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/*
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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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* 2020-12-07 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_reshape.h"
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nnom_layer_t *reshape_s(nnom_reshape_config_t *config)
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{
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nnom_reshape_layer_t *layer;
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nnom_layer_io_t *in, *out;
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// allocate a block memory for all the sub handles and shifts.
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size_t mem_size = sizeof(nnom_reshape_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_reshape_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->super.type = NNOM_RESHAPE;
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layer->super.run = reshape_run;
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layer->super.build = reshape_build;
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// set buf state
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in->type = NNOM_TENSOR_BUF_TEMP;
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out->type = NNOM_TENSOR_BUF_NULL;
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// config
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//nnom_memcpy(layer->dim, config->dim, config->num_dim * sizeof(nnom_shape_data_t));
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layer->super.config = &(config->super);
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//nnom_layer_config_t *config; ->nnom_layer_config_t
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layer->dim = config->dim; // temporary use the config directly. (not preferable.)
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layer->num_dim = config->num_dim;
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// put in & out on the layer.
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layer->super.in = io_init(layer, in);
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layer->super.out = io_init(layer, out);
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return (nnom_layer_t *)layer;
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}
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nnom_status_t reshape_build(nnom_layer_t *layer)
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{
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nnom_reshape_layer_t *cl = (nnom_reshape_layer_t *)layer;
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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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tensor_set_attr(layer->out->tensor, layer->in->tensor->q_dec, layer->in->tensor->q_offset, cl->dim, cl->num_dim, 8);
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return NN_SUCCESS;
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}
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nnom_status_t reshape_run(nnom_layer_t *layer)
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{
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return NN_SUCCESS;
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}
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