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Marat Dukhan3b59de22020-06-03 20:15:19 -07001// Copyright 2020 Google LLC
2//
3// This source code is licensed under the BSD-style license found in the
4// LICENSE file in the root directory of this source tree.
5
6#include <math.h>
7#include <stddef.h>
8#include <stdint.h>
9
10#include <xnnpack/common.h>
11#include <xnnpack/log.h>
12#include <xnnpack/subgraph.h>
13
14
Marat Dukhan210e35d2020-06-04 02:45:57 -070015// This function is defined inline when logging is disabled
16#if XNN_LOG_LEVEL > 0
Marat Dukhan3b59de22020-06-03 20:15:19 -070017const char* xnn_operator_type_to_string(enum xnn_operator_type type) {
18 switch (type) {
19 case xnn_operator_type_invalid:
20 return "Invalid";
21 case xnn_operator_type_add_nc_f32:
22 return "Add (NC, F32)";
23 case xnn_operator_type_add_nd_f32:
24 return "Add (ND, F32)";
25 case xnn_operator_type_add_nc_q8:
26 return "Add (NC, Q8)";
27 case xnn_operator_type_argmax_pooling_nhwc_f32:
28 return "ArgMax Pooling (NHWC, F32)";
29 case xnn_operator_type_average_pooling_nhwc_f32:
30 return "Average Pooling (NHWC, F32)";
31 case xnn_operator_type_average_pooling_nhwc_q8:
32 return "Average Pooling (NHWC, Q8)";
33 case xnn_operator_type_channel_pad_nc_x32:
34 return "Channel Pad (NC, X32)";
35 case xnn_operator_type_channel_shuffle_nc_x32:
36 return "Channel Shuffle (NC, X32)";
37 case xnn_operator_type_channel_shuffle_nc_x8:
38 return "Channel Shuffle (NC, X8)";
39 case xnn_operator_type_clamp_nc_f32:
40 return "Clamp (NC, F32)";
41 case xnn_operator_type_clamp_nc_u8:
42 return "Clamp (NC, U8)";
43 case xnn_operator_type_constant_pad_nd_x32:
44 return "Constant Pad (ND, X32)";
45 case xnn_operator_type_convolution_nhwc_f32:
46 return "Convolution (NHWC, F32)";
47 case xnn_operator_type_convolution_nhwc_q8:
48 return "Convolution (NHWC, Q8)";
49 case xnn_operator_type_convolution_nchw_f32:
50 return "Convolution (NCHW, F32)";
51 case xnn_operator_type_deconvolution_nhwc_f32:
52 return "Deconvolution (NHWC, F32)";
53 case xnn_operator_type_deconvolution_nhwc_q8:
54 return "Deconvolution (NHWC, Q8)";
55 case xnn_operator_type_divide_nd_f32:
56 return "Divide (ND, F32)";
57 case xnn_operator_type_fully_connected_nc_f32:
58 return "Fully Connected (NC, F32)";
59 case xnn_operator_type_fully_connected_nc_q8:
60 return "Fully Connected (NC, Q8)";
61 case xnn_operator_type_global_average_pooling_nwc_f32:
62 return "Global Average Pooling (NWC, F32)";
63 case xnn_operator_type_global_average_pooling_nwc_q8:
64 return "Global Average Pooling (NWC, Q8)";
65 case xnn_operator_type_global_average_pooling_ncw_f32:
66 return "Global Average Pooling (NCW, F32)";
67 case xnn_operator_type_hardswish_nc_f32:
68 return "HardSwish (NC, F32)";
69 case xnn_operator_type_leaky_relu_nc_q8:
70 return "Leaky ReLU (NC, Q8)";
71 case xnn_operator_type_max_pooling_nhwc_f32:
72 return "Max Pooling (NHWC, F32)";
73 case xnn_operator_type_max_pooling_nhwc_u8:
74 return "Max Pooling (NHWC, U8)";
75 case xnn_operator_type_maximum_nd_f32:
76 return "Maximum (ND, F32)";
77 case xnn_operator_type_minimum_nd_f32:
78 return "Minimum (ND, F32)";
79 case xnn_operator_type_multiply_nd_f32:
80 return "Multiply (ND, F32)";
81 case xnn_operator_type_prelu_nc_f32:
82 return "PReLU (NC, F32)";
83 case xnn_operator_type_resize_bilinear_nhwc_f32:
84 return "Resize Bilinear (NHWC, F32)";
85 case xnn_operator_type_sigmoid_nc_f32:
86 return "Sigmoid (NC, F32)";
87 case xnn_operator_type_sigmoid_nc_q8:
88 return "Sigmoid (NC, Q8)";
89 case xnn_operator_type_softmax_nc_f32:
90 return "Softmax (NC, F32)";
91 case xnn_operator_type_softmax_nc_q8:
92 return "Softmax (NC, Q8)";
93 case xnn_operator_type_subtract_nd_f32:
94 return "Subtract (ND, F32)";
95 case xnn_operator_type_unpooling_nhwc_x32:
96 return "Unpooling (NHWC, X32)";
97 }
98 XNN_UNREACHABLE;
99 return NULL;
100}
Marat Dukhan210e35d2020-06-04 02:45:57 -0700101#endif // XNN_LOG_LEVEL > 0