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/* | ||
* Licensed to the Apache Software Foundation (ASF) under one | ||
* or more contributor license agreements. See the NOTICE file | ||
* distributed with this work for additional information | ||
* regarding copyright ownership. The ASF licenses this file | ||
* to you 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. | ||
*/ | ||
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/* | ||
* Copyright (c) 2021, OPEN AI LAB | ||
* Author: | ||
*/ | ||
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#ifndef __UNARY_KERNEL_REF_H__ | ||
#define __UNARY_KERNEL_REF_H__ | ||
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#include "graph/tensor.h" | ||
#include "graph/node.h" | ||
#include "graph/graph.h" | ||
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#include "unary_param.h" | ||
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int ref_unary_fp32(struct tensor* input_tensor, struct tensor* output_tensor, struct unary_param* param); | ||
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int ref_unary_uint8(struct tensor* input_tensor, struct tensor* output_tensor, struct unary_param* param); | ||
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#endif |
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/* | ||
* Licensed to the Apache Software Foundation (ASF) under one | ||
* or more contributor license agreements. See the NOTICE file | ||
* distributed with this work for additional information | ||
* regarding copyright ownership. The ASF licenses this file | ||
* to you 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. | ||
*/ | ||
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/* | ||
* Copyright (c) 2021, OPEN AI LAB | ||
* Author: | ||
*/ | ||
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#include "unary_kernel_ref.h" | ||
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#include "graph/tensor.h" | ||
#include "graph/node.h" | ||
#include "graph/graph.h" | ||
#include "module/module.h" | ||
#include "operator/op.h" | ||
#include "utility/float.h" | ||
#include "utility/sys_port.h" | ||
#include "utility/log.h" | ||
#include "device/cpu/cpu_node.h" | ||
#include "device/cpu/cpu_graph.h" | ||
#include "device/cpu/cpu_module.h" | ||
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#include <math.h> | ||
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int ref_unary_fp32(struct tensor* input_tensor, struct tensor* output_tensor, struct unary_param* param) | ||
{ | ||
float* in_data = input_tensor->data; | ||
float* out_data = output_tensor->data; | ||
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int size = input_tensor->elem_num; | ||
int type = param->type; | ||
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switch (type) | ||
{ | ||
case 0: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = fabs(in_data[i]); | ||
} | ||
break; | ||
case 1: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = -(in_data[i]); | ||
} | ||
break; | ||
case 2: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = floor(in_data[i]); | ||
} | ||
break; | ||
case 3: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = ceil(in_data[i]); | ||
} | ||
break; | ||
case 4: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = in_data[i] * in_data[i]; | ||
} | ||
break; | ||
case 5: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = sqrt(in_data[i]); | ||
} | ||
break; | ||
case 6: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = 1.f / sqrt(in_data[i]); | ||
} | ||
break; | ||
case 7: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = exp(in_data[i]); | ||
} | ||
break; | ||
case 8: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = log(in_data[i]); | ||
} | ||
break; | ||
case 9: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = sin(in_data[i]); | ||
} | ||
break; | ||
case 10: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = cos(in_data[i]); | ||
} | ||
break; | ||
case 11: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = tan(in_data[i]); | ||
} | ||
break; | ||
case 12: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = asin(in_data[i]); | ||
} | ||
break; | ||
case 13: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = acos(in_data[i]); | ||
} | ||
break; | ||
case 14: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = atan(in_data[i]); | ||
} | ||
break; | ||
case 15: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = 1.f / (in_data[i]); | ||
} | ||
break; | ||
case 16: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = tanh(in_data[i]); | ||
} | ||
break; | ||
default: | ||
break; | ||
} | ||
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return 0; | ||
} |
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/* | ||
* Licensed to the Apache Software Foundation (ASF) under one | ||
* or more contributor license agreements. See the NOTICE file | ||
* distributed with this work for additional information | ||
* regarding copyright ownership. The ASF licenses this file | ||
* to you 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. | ||
*/ | ||
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/* | ||
* Copyright (c) 2021, OPEN AI LAB | ||
* Author: | ||
*/ | ||
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#include "unary_kernel_ref.h" | ||
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#include "graph/tensor.h" | ||
#include "graph/node.h" | ||
#include "graph/graph.h" | ||
#include "module/module.h" | ||
#include "operator/op.h" | ||
#include "utility/float.h" | ||
#include "utility/sys_port.h" | ||
#include "utility/log.h" | ||
#include "device/cpu/cpu_node.h" | ||
#include "device/cpu/cpu_graph.h" | ||
#include "device/cpu/cpu_module.h" | ||
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#include <math.h> | ||
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int ref_unary_uint8(struct tensor* input_tensor, struct tensor* output_tensor, struct unary_param* param) | ||
{ | ||
/* dequant */ | ||
uint8_t* input_uint8 = input_tensor->data; | ||
uint8_t* output_uint8 = output_tensor->data; | ||
float input_scale = input_tensor->scale; | ||
float output_scale = output_tensor->scale; | ||
int32_t input_zero = input_tensor->zero_point; | ||
int32_t output_zero = output_tensor->zero_point; | ||
int input_size = input_tensor->elem_num; | ||
int output_size = output_tensor->elem_num; | ||
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float* in_data = ( float* )sys_malloc(input_size * sizeof(float)); | ||
float* out_data = ( float* )sys_malloc(output_size * sizeof(float)); | ||
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for (int i = 0; i < input_size; i++) | ||
{ | ||
in_data[i] = (( float )input_uint8[i] - ( float )input_zero) * input_scale; | ||
} | ||
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int size = input_tensor->elem_num; | ||
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int type = param->type; | ||
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switch (type) | ||
{ | ||
case 0: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = fabs(in_data[i]); | ||
} | ||
break; | ||
case 1: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = -(in_data[i]); | ||
} | ||
break; | ||
case 2: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = floor(in_data[i]); | ||
} | ||
break; | ||
case 3: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = ceil(in_data[i]); | ||
} | ||
break; | ||
case 4: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = in_data[i] * in_data[i]; | ||
} | ||
break; | ||
case 5: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = sqrt(in_data[i]); | ||
} | ||
break; | ||
case 6: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = 1.f / sqrt(in_data[i]); | ||
} | ||
break; | ||
case 7: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = exp(in_data[i]); | ||
} | ||
break; | ||
case 8: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = log(in_data[i]); | ||
} | ||
break; | ||
case 9: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = sin(in_data[i]); | ||
} | ||
break; | ||
case 10: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = cos(in_data[i]); | ||
} | ||
break; | ||
case 11: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = tan(in_data[i]); | ||
} | ||
break; | ||
case 12: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = asin(in_data[i]); | ||
} | ||
break; | ||
case 13: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = acos(in_data[i]); | ||
} | ||
break; | ||
case 14: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = atan(in_data[i]); | ||
} | ||
break; | ||
case 15: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = 1.f / (in_data[i]); | ||
} | ||
break; | ||
case 16: | ||
for (int i = 0; i < size; i++) | ||
{ | ||
out_data[i] = tanh(in_data[i]); | ||
} | ||
break; | ||
default: | ||
break; | ||
} | ||
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/* quant */ | ||
for (int i = 0; i < output_size; i++) | ||
{ | ||
int udata = round(out_data[i] / output_scale + output_zero); | ||
if (udata > 255) | ||
udata = 255; | ||
else if (udata < 0) | ||
udata = 0; | ||
output_uint8[i] = udata; | ||
} | ||
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sys_free(in_data); | ||
sys_free(out_data); | ||
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return 0; | ||
} |
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