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add op test, equal, neg
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BUG1989 committed May 14, 2021
1 parent 25e5e75 commit 1f5e150
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39 changes: 39 additions & 0 deletions source/device/cpu/op/unary/unary_kernel_ref.h
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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.
*/

/*
* Copyright (c) 2021, OPEN AI LAB
* Author:
*/

#ifndef __UNARY_KERNEL_REF_H__
#define __UNARY_KERNEL_REF_H__


#include "graph/tensor.h"
#include "graph/node.h"
#include "graph/graph.h"

#include "unary_param.h"

int ref_unary_fp32(struct tensor* input_tensor, struct tensor* output_tensor, struct unary_param* param);

int ref_unary_uint8(struct tensor* input_tensor, struct tensor* output_tensor, struct unary_param* param);

#endif
159 changes: 159 additions & 0 deletions source/device/cpu/op/unary/unary_kernel_ref_fp32.c
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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.
*/

/*
* Copyright (c) 2021, OPEN AI LAB
* Author:
*/

#include "unary_kernel_ref.h"

#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"

#include <math.h>


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;

int size = input_tensor->elem_num;
int type = param->type;

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;
}

return 0;
}
189 changes: 189 additions & 0 deletions source/device/cpu/op/unary/unary_kernel_ref_uint8.c
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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.
*/

/*
* Copyright (c) 2021, OPEN AI LAB
* Author:
*/

#include "unary_kernel_ref.h"

#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"

#include <math.h>


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;

float* in_data = ( float* )sys_malloc(input_size * sizeof(float));
float* out_data = ( float* )sys_malloc(output_size * sizeof(float));

for (int i = 0; i < input_size; i++)
{
in_data[i] = (( float )input_uint8[i] - ( float )input_zero) * input_scale;
}

int size = input_tensor->elem_num;

int type = param->type;

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;
}

/* 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;
}

sys_free(in_data);
sys_free(out_data);

return 0;
}
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