1 /**
2 * Copyright 2021 Huawei Technologies Co., Ltd
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16
17 #include "nnacl/infer/range_infer.h"
18 #include <math.h>
19 #include "nnacl/infer/infer_register.h"
20 #include "nnacl/range_parameter.h"
21 #include "nnacl/tensor_c_utils.h"
22
RangeInferShape(const TensorC * const * inputs,size_t inputs_size,TensorC ** outputs,size_t outputs_size,OpParameter * parameter)23 int RangeInferShape(const TensorC *const *inputs, size_t inputs_size, TensorC **outputs, size_t outputs_size,
24 OpParameter *parameter) {
25 int check_ret = CheckAugmentNullSizeInputTwo(inputs, inputs_size, outputs, outputs_size, parameter, 1, C3NUM, 1);
26 if (check_ret != NNACL_OK) {
27 return check_ret;
28 }
29
30 const TensorC *input = inputs[0];
31 TensorC *output = outputs[0];
32 output->data_type_ = inputs_size == C3NUM ? input->data_type_ : kNumberTypeInt32;
33 output->format_ = input->format_;
34 if (!InferFlag(inputs, inputs_size)) {
35 return NNACL_INFER_INVALID;
36 }
37 if (GetElementNum(inputs[FIRST_INPUT]) < 1) {
38 NNACL_LOG_ERROR("GetElementNum(inputs[FIRST_INPUT]) < 1");
39 return NNACL_ERR;
40 }
41 int shape_size = 0;
42 if (inputs_size == C3NUM) {
43 NNACL_CHECK_FALSE(inputs[FIRST_INPUT]->data_ == NULL, NNACL_INFER_INVALID);
44 NNACL_CHECK_FALSE(inputs[SECOND_INPUT]->data_ == NULL, NNACL_INFER_INVALID);
45 NNACL_CHECK_FALSE(inputs[THIRD_INPUT]->data_ == NULL, NNACL_INFER_INVALID);
46 if ((inputs[FIRST_INPUT]->data_type_ != inputs[SECOND_INPUT]->data_type_) ||
47 (inputs[FIRST_INPUT]->data_type_ != inputs[THIRD_INPUT]->data_type_)) {
48 return NNACL_INFER_INVALID;
49 }
50 if (GetElementNum(inputs[SECOND_INPUT]) < 1 || GetElementNum(inputs[THIRD_INPUT]) < 1) {
51 NNACL_LOG_ERROR("GetElementNum(inputs[SECOND_INPUT]) < 1 || GetElementNum(inputs[THIRD_INPUT]) < 1");
52 return NNACL_ERR;
53 }
54 switch (inputs[0]->data_type_) {
55 case kNumberTypeInt:
56 case kNumberTypeInt32: {
57 int start = *(int *)(inputs[0]->data_);
58 int limit = *(int *)(inputs[1]->data_);
59 int delta = *(int *)(inputs[2]->data_);
60 if (delta == 0) {
61 NNACL_LOG_ERROR("delta == 0");
62 return NNACL_ERR;
63 }
64 shape_size = imax((int)(ceil((float)(limit - start) / delta)), 0);
65 } break;
66 case kNumberTypeFloat32:
67 case kNumberTypeFloat: {
68 float start = *(float *)(inputs[0]->data_);
69 float limit = *(float *)(inputs[1]->data_);
70 float delta = *(float *)(inputs[2]->data_);
71 if (fabsf(delta) < EPSILON_VALUE) {
72 NNACL_LOG_ERROR("fabsf(delta) < EPSILON_VALUE");
73 return NNACL_ERR;
74 }
75 shape_size = imax((int)(ceil((float)(limit - start) / delta)), 0);
76 } break;
77 default: {
78 NNACL_LOG_ERROR("inputs[0]->data_type_ is invalid");
79 return NNACL_ERR;
80 }
81 }
82 } else {
83 RangeParameter *param = (RangeParameter *)parameter;
84 NNACL_CHECK_NULL_RETURN_ERR(param);
85 if (param->delta_ == 0) {
86 NNACL_LOG_ERROR("param->delta_ == 0");
87 return NNACL_PARAM_INVALID;
88 }
89 shape_size = ceil((float)(param->limit_ - param->start_) / param->delta_);
90 }
91
92 output->shape_size_ = 1;
93 output->shape_[0] = shape_size;
94 return NNACL_OK;
95 }
96
97 REG_INFER(Range, PrimType_Range, RangeInferShape)
98