Compute Library
 22.11
ClKernelLibrary.cpp
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1 /*
2  * Copyright (c) 2016-2022 Arm Limited.
3  *
4  * SPDX-License-Identifier: MIT
5  *
6  * Permission is hereby granted, free of charge, to any person obtaining a copy
7  * of this software and associated documentation files (the "Software"), to
8  * deal in the Software without restriction, including without limitation the
9  * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10  * sell copies of the Software, and to permit persons to whom the Software is
11  * furnished to do so, subject to the following conditions:
12  *
13  * The above copyright notice and this permission notice shall be included in all
14  * copies or substantial portions of the Software.
15  *
16  * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17  * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18  * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19  * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20  * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21  * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22  * SOFTWARE.
23  */
25 
26 #include "arm_compute/core/Error.h"
27 #include "arm_compute/core/Utils.h"
28 
29 #include <algorithm>
30 #include <array>
31 #include <fstream>
32 #include <utility>
33 
34 #ifdef ARM_COMPUTE_COMPRESSED_KERNELS
35 #include <zlib.h>
36 
37 namespace
38 {
39 /* Decoding table */
40 constexpr std::array<uint8_t, 256> b64_invtab =
41 {
42  0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
43  0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
44  0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 62, 0, 0, 0, 63,
45  52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 0, 0, 0, 0, 0, 0,
46  0, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,
47  15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 0, 0, 0, 0, 0,
48  0, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40,
49  41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 0, 0, 0, 0, 0,
50  0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
51  0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
52  0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
53  0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
54  0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
55  0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
56  0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
57  0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
58 };
59 
60 /** Decode a base64 encoded string
61  *
62  * @param[in] str Base64 encoded string to decode
63  *
64  * @return The decode string in case of a valid, non-empty string otherwise an empty string
65  */
66 std::string decode_base64(const std::string &str)
67 {
68  constexpr const char pad_char = '=';
69 
70  // Handle empty string
71  if(str.empty())
72  {
73  return {};
74  }
75 
76  // Base64 encoded string has size multiple of 4
77  if(str.length() % 4)
78  {
79  return {};
80  }
81 
82  //
83  // Check encoded string padding
84  std::size_t padding = (str.rbegin()[0] == pad_char) + (str.rbegin()[1] == pad_char);
85  const int str_len = str.size();
86 
87  // Reserve memory for the decoded string
88  // Note each 4 consecutive elements of 6-bit encode 3 bytes
89  std::string dec_b64;
90  dec_b64.reserve(((str_len / 4) * 3));
91 
92  // Block decoding function (exclude padding)
93  int c = 0;
94  const int end = str_len - 4 - padding;
95  for(; c <= end; c += 4)
96  {
97  const int byte0 = b64_invtab[str[c]];
98  const int byte1 = b64_invtab[str[c + 1]];
99  const int byte2 = b64_invtab[str[c + 2]];
100  const int byte3 = b64_invtab[str[c + 3]];
101 
102  dec_b64.push_back((byte0 << 2) | (byte1 >> 4));
103  dec_b64.push_back((byte1 << 4) | (byte2 >> 2));
104  dec_b64.push_back((byte2 << 6) | (byte3));
105  }
106 
107  // Last step that might contain padding symbols
108  if(padding == 1)
109  {
110  const int byte0 = b64_invtab[str[c]];
111  const int byte1 = b64_invtab[str[c + 1]];
112  const int byte2 = b64_invtab[str[c + 2]];
113 
114  dec_b64.push_back((byte0 << 2) | (byte1 >> 4));
115  dec_b64.push_back((byte1 << 4) | (byte2 >> 2));
116  }
117  else if(padding == 2)
118  {
119  const int byte0 = b64_invtab[str[c]];
120  const int byte1 = b64_invtab[str[c + 1]];
121 
122  dec_b64.push_back((byte0 << 2) | (byte1 >> 4));
123  }
124 
125  return dec_b64;
126 }
127 
128 /** Decompress a zlib compressed string
129  *
130  * @param[in] str ZLib compressed string
131  *
132  * @return The decompressed string if successful, otherwise false.
133  */
134 std::string decompress_zlib(const std::string &str)
135 {
136  // Create and initialize decompression stream
137  z_stream ds{};
138  if(inflateInit(&ds) != Z_OK)
139  {
140  return std::string();
141  }
142  ds.avail_in = str.size();
143  ds.next_in = (Bytef *)str.data();
144 
145  // Roll-over the string using a buffer and decompress
146  int status = Z_OK;
147  char roll_buff[16384];
148  std::string inflated_str;
149  do
150  {
151  ds.avail_out = sizeof(roll_buff);
152  ds.next_out = reinterpret_cast<Bytef *>(roll_buff);
153 
154  status = inflate(&ds, 0);
155  if(inflated_str.size() < ds.total_out)
156  {
157  inflated_str.append(roll_buff, ds.total_out - inflated_str.size());
158  }
159  }
160  while(status == Z_OK);
161 
162  // Finalize decompression stream
163  inflateEnd(&ds);
164  if(status != Z_STREAM_END)
165  {
166  return std::string();
167  }
168 
169  return inflated_str;
170 }
171 } // namespace
172 #endif /* ARM_COMPUTE_COMPRESSED_KERNELS */
173 
174 namespace arm_compute
175 {
176 namespace opencl
177 {
178 const std::map<std::string, std::string> ClKernelLibrary::_kernel_program_map =
179 {
180  // Common Kernels
181  { "activation_layer", "common/activation_layer.cl" },
182  { "activation_layer_quant", "common/activation_layer_quant.cl" },
183  { "activation_layer_quant_f32", "common/activation_layer_quant.cl" },
184  { "arg_min_max_x", "common/arg_min_max.cl" },
185  { "arg_min_max_y", "common/arg_min_max.cl" },
186  { "arg_min_max_z", "common/arg_min_max.cl" },
187  { "arg_min_max_w", "common/arg_min_max.cl" },
188  { "bitwise_or", "common/bitwise_op.cl" },
189  { "bitwise_and", "common/bitwise_op.cl" },
190  { "bitwise_xor", "common/bitwise_op.cl" },
191  { "bitwise_not", "common/bitwise_op.cl" },
192  { "bounding_box_transform", "common/bounding_box_transform.cl" },
193  { "bounding_box_transform_quantized", "common/bounding_box_transform_quantized.cl" },
194  { "compare_equal", "common/comparisons.cl" },
195  { "compare_equal_quantized", "common/comparisons.cl" },
196  { "compare_notequal", "common/comparisons.cl" },
197  { "compare_notequal_quantized", "common/comparisons.cl" },
198  { "compare_greater", "common/comparisons.cl" },
199  { "compare_greater_quantized", "common/comparisons.cl" },
200  { "compare_greaterequal", "common/comparisons.cl" },
201  { "compare_greaterequal_quantized", "common/comparisons.cl" },
202  { "compare_less", "common/comparisons.cl" },
203  { "compare_less_quantized", "common/comparisons.cl" },
204  { "compare_lessequal", "common/comparisons.cl" },
205  { "compare_lessequal_quantized", "common/comparisons.cl" },
206  { "concatenate", "common/concatenate.cl" },
207  { "concatenate_width", "common/concatenate.cl" },
208  { "concatenate_height", "common/concatenate.cl" },
209  { "concatenate_width_x2", "common/concatenate.cl" },
210  { "concatenate_width_x4", "common/concatenate.cl" },
211  { "col2im", "common/col2im.cl" },
212  { "cast_down", "common/cast.cl" },
213  { "cast_up", "common/cast.cl" },
214  { "convert_fc_weights", "common/convert_fc_weights.cl" },
215  { "copy_tensor", "common/copy_tensor.cl" },
216  { "crop_tensor", "common/crop_tensor.cl" },
217  { "deconvolution_reshape", "common/deconvolution_layer.cl" },
218  { "deconvolution_upsample", "common/deconvolution_layer.cl" },
219  { "dequantization_layer", "common/dequantization_layer.cl" },
220  { "elementwise_operation_ADD", "common/elementwise_operation.cl" },
221  { "elementwise_operation_SUB", "common/elementwise_operation.cl" },
222  { "elementwise_operation_MAX", "common/elementwise_operation.cl" },
223  { "elementwise_operation_MIN", "common/elementwise_operation.cl" },
224  { "elementwise_operation_DIV", "common/elementwise_operation.cl" },
225  { "elementwise_operation_SQUARED_DIFF", "common/elementwise_operation.cl" },
226  { "elementwise_operation_POWER", "common/elementwise_operation.cl" },
227  { "elementwise_operation_PRELU", "common/elementwise_operation.cl" },
228  { "elementwise_operation_AND", "common/elementwise_operation.cl" },
229  { "elementwise_operation_OR", "common/elementwise_operation.cl" },
230  { "elementwise_operation_ADD_quantized", "common/elementwise_operation_quantized.cl" },
231  { "elementwise_operation_SUB_quantized", "common/elementwise_operation_quantized.cl" },
232  { "elementwise_operation_MAX_quantized", "common/elementwise_operation_quantized.cl" },
233  { "elementwise_operation_MIN_quantized", "common/elementwise_operation_quantized.cl" },
234  { "elementwise_operation_DIV_quantized", "common/elementwise_operation_quantized.cl" },
235  { "elementwise_operation_SQUARED_DIFF_quantized", "common/elementwise_operation_quantized.cl" },
236  { "elementwise_operation_PRELU_quantized", "common/elementwise_operation_quantized.cl" },
237  { "elementwise_unary", "common/elementwise_unary.cl" },
238  { "fft_digit_reverse_axis_0", "common/fft_digit_reverse.cl" },
239  { "fft_digit_reverse_axis_1", "common/fft_digit_reverse.cl" },
240  { "fft_radix_2_first_stage_axis_0", "common/fft.cl" },
241  { "fft_radix_2_first_stage_axis_1", "common/fft.cl" },
242  { "fft_radix_2_axis_0", "common/fft.cl" },
243  { "fft_radix_2_axis_1", "common/fft.cl" },
244  { "fft_radix_3_first_stage_axis_0", "common/fft.cl" },
245  { "fft_radix_3_first_stage_axis_1", "common/fft.cl" },
246  { "fft_radix_3_axis_0", "common/fft.cl" },
247  { "fft_radix_3_axis_1", "common/fft.cl" },
248  { "fft_radix_4_first_stage_axis_0", "common/fft.cl" },
249  { "fft_radix_4_first_stage_axis_1", "common/fft.cl" },
250  { "fft_radix_4_axis_0", "common/fft.cl" },
251  { "fft_radix_4_axis_1", "common/fft.cl" },
252  { "fft_radix_5_first_stage_axis_0", "common/fft.cl" },
253  { "fft_radix_5_first_stage_axis_1", "common/fft.cl" },
254  { "fft_radix_5_axis_0", "common/fft.cl" },
255  { "fft_radix_5_axis_1", "common/fft.cl" },
256  { "fft_radix_7_first_stage_axis_0", "common/fft.cl" },
257  { "fft_radix_7_first_stage_axis_1", "common/fft.cl" },
258  { "fft_radix_7_axis_0", "common/fft.cl" },
259  { "fft_radix_7_axis_1", "common/fft.cl" },
260  { "fft_radix_8_first_stage_axis_0", "common/fft.cl" },
261  { "fft_radix_8_first_stage_axis_1", "common/fft.cl" },
262  { "fft_radix_8_axis_0", "common/fft.cl" },
263  { "fft_radix_8_axis_1", "common/fft.cl" },
264  { "fft_scale_conj", "common/fft_scale.cl" },
265  { "fill_image_borders_constant", "common/fill_border.cl" },
266  { "fill_image_borders_replicate", "common/fill_border.cl" },
267  { "floor_layer", "common/floor.cl" },
268  { "fuse_batchnormalization_layer", "common/batchnormalization_layer.cl" },
269  { "gather", "common/gather.cl" },
270  { "gemm_ma_f16", "common/gemm.cl" },
271  { "gemm_ma_f32", "common/gemm.cl" },
272  { "gemm_mv", "common/gemv.cl" },
273  { "gemm_mv_quantized", "common/gemv.cl" },
274  { "gemm_mm_native", "common/gemm.cl" },
275  { "gemm_mm_reshaped_only_rhs_nt_mmul", "common/gemm_reshaped_only_rhs_mmul.cl" },
276  { "gemm_mm_reshaped_only_rhs_nt_mmul_texture", "common/gemm_reshaped_only_rhs_mmul.cl" },
277  { "gemm_mm_native_post_act_eltwise_op_act", "common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_native.cl" },
278  { "gemm_mm_reshaped_lhs_nt_rhs_t", "common/gemm.cl" },
279  { "gemm_mm_reshaped_lhs_nt_rhs_t_texture", "common/gemm.cl" },
280  { "gemm_mm_reshaped_lhs_t_rhs_nt", "common/gemm.cl" },
281  { "gemm_mm_reshaped_lhs_t_rhs_nt_texture", "common/gemm.cl" },
282  { "gemm_mm_reshaped_lhs_nt_rhs_t_post_act_eltwise_op_act", "common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped.cl" },
283  { "gemm_mm_reshaped_lhs_nt_rhs_t_texture_post_act_eltwise_op_act", "common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped.cl" },
284  { "gemm_mm_reshaped_lhs_t_rhs_nt_post_act_eltwise_op_act", "common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped.cl" },
285  { "gemm_mm_reshaped_lhs_t_rhs_nt_texture_post_act_eltwise_op_act", "common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped.cl" },
286  { "gemm_mm_reshaped_only_rhs_nt", "common/gemm.cl" },
287  { "gemm_mm_reshaped_only_rhs_nt_texture", "common/gemm.cl" },
288  { "gemm_mm_reshaped_only_rhs_t", "common/gemm.cl" },
289  { "gemm_mm_reshaped_only_rhs_t_texture", "common/gemm.cl" },
290  { "gemm_mm_reshaped_only_rhs_nt_post_act_eltwise_op_act", "common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped_only_rhs.cl" },
291  { "gemm_mm_reshaped_only_rhs_nt_texture_post_act_eltwise_op_act", "common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped_only_rhs.cl" },
292  { "gemm_mm_reshaped_only_rhs_t_post_act_eltwise_op_act", "common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped_only_rhs.cl" },
293  { "gemm_mm_reshaped_only_rhs_t_texture_post_act_eltwise_op_act", "common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped_only_rhs.cl" },
294  { "gemm_lc_vm_f32", "common/gemm.cl" },
295  { "gemm_reshape_lhs_matrix_nt", "common/gemm_utils.cl" },
296  { "gemm_reshape_lhs_matrix_t", "common/gemm_utils.cl" },
297  { "gemm_reshape_rhs_matrix_nt", "common/gemm_utils.cl" },
298  { "gemm_reshape_rhs_matrix_t", "common/gemm_utils.cl" },
299  { "gemmlowp_matrix_a_reduction", "common/gemmlowp.cl" },
300  { "gemmlowp_matrix_a_reduction_dot8", "common/gemmlowp.cl" },
301  { "gemmlowp_matrix_b_reduction", "common/gemmlowp.cl" },
302  { "gemmlowp_mm_native", "common/gemmlowp.cl" },
303  { "gemmlowp_mm_reshaped_lhs_nt_rhs_t", "common/gemmlowp.cl" },
304  { "gemmlowp_mm_reshaped_only_rhs_t", "common/gemmlowp.cl" },
305  { "gemmlowp_mm_reshaped_only_rhs_t_fused_output_stage_fixedpoint", "common/gemmlowp.cl" },
306  { "gemmlowp_mm_reshaped_only_rhs_mmul", "common/gemmlowp_reshaped_only_rhs_mmul.cl" },
307  { "gemmlowp_offset_contribution", "common/gemmlowp.cl" },
308  { "gemmlowp_offset_contribution_quantize_down", "common/gemmlowp.cl" },
309  { "gemmlowp_offset_contribution_quantize_down_fixedpoint", "common/gemmlowp.cl" },
310  { "gemmlowp_output_stage_quantize_down", "common/gemmlowp.cl" },
311  { "gemmlowp_output_stage_quantize_down_fixedpoint", "common/gemmlowp.cl" },
312  { "gemmlowp_output_stage_quantize_down_fixedpoint_qsymm16", "common/gemmlowp.cl" },
313  { "gemmlowp_output_stage_quantize_down_float", "common/gemmlowp.cl" },
314  { "generate_proposals_compute_all_anchors", "common/generate_proposals.cl" },
315  { "generate_proposals_compute_all_anchors_quantized", "common/generate_proposals_quantized.cl" },
316  { "instance_normalization", "common/instance_normalization.cl" },
317  { "compute_mean_var", "common/instance_normalization.cl" },
318  { "l2_normalize_x", "common/l2_normalize.cl" },
319  { "l2_normalize_y", "common/l2_normalize.cl" },
320  { "l2_normalize_z", "common/l2_normalize.cl" },
321  { "max_unpooling_layer_2", "common/unpooling_layer.cl" },
322  { "mean_stddev_normalization", "common/mean_stddev_normalization.cl" },
323  { "memset", "common/memset.cl" },
324  { "minmax_layer", "common/minmax_layer.cl" },
325  { "non_max_suppression", "common/nonmax.cl" },
326  { "pad_layer_constant", "common/pad_layer.cl" },
327  { "pad_layer_symmetric_reflect", "common/pad_layer.cl" },
328  { "permute", "common/permute.cl" },
329  { "pixelwise_mul_complex", "common/pixelwise_mul_float.cl" },
330  { "pixelwise_mul_float", "common/pixelwise_mul_float.cl" },
331  { "pixelwise_mul_int", "common/pixelwise_mul_int.cl" },
332  { "pixelwise_mul_quantized", "common/pixelwise_mul_int.cl" },
333  { "qlstm_layer_normalization", "common/qlstm_layer_normalization.cl" },
334  { "quantization_layer", "common/quantization_layer.cl" },
335  { "range", "common/range.cl" },
336  { "range_quantized", "common/range.cl" },
337  { "reduction_operation_x", "common/reduction_operation.cl" },
338  { "reduction_operation_non_parallel_x", "common/reduction_operation.cl" },
339  { "reduction_operation_y", "common/reduction_operation.cl" },
340  { "reduction_operation_z", "common/reduction_operation.cl" },
341  { "reduction_operation_w", "common/reduction_operation.cl" },
342  { "reshape_layer", "common/reshape_layer.cl" },
343  { "reshape_to_columns", "common/convolution_layer.cl" },
344  { "reverse", "common/reverse.cl" },
345  { "roi_align_layer", "common/roi_align_layer.cl" },
346  { "roi_align_layer_quantized", "common/roi_align_layer_quantized.cl" },
347  { "roi_pooling_layer", "common/roi_pooling_layer.cl" },
348  { "select_same_rank", "common/select.cl" },
349  { "select_different_rank_2", "common/select.cl" },
350  { "select_different_rank_n", "common/select.cl" },
351  { "softmax_layer_norm", "common/softmax_layer.cl" },
352  { "softmax_layer_norm_quantized", "common/softmax_layer_quantized.cl" },
353  { "softmax_layer_max_shift_exp_sum_quantized_serial", "common/softmax_layer_quantized.cl" },
354  { "softmax_layer_max_shift_exp_sum_quantized_parallel", "common/softmax_layer_quantized.cl" },
355  { "softmax_layer_max_shift_exp_sum_serial", "common/softmax_layer.cl" },
356  { "softmax_layer_max_shift_exp_sum_parallel", "common/softmax_layer.cl" },
357  { "stack_layer", "common/stack_layer.cl" },
358  { "strided_slice", "common/slice_ops.cl" },
359  { "tile", "common/tile.cl" },
360  { "transpose", "common/transpose.cl" },
361 #ifdef ENABLE_NCHW_KERNELS
362  { "batch_to_space_nchw", "nchw/batch_to_space.cl" },
363  { "batch_to_space_static_nchw", "nchw/batch_to_space.cl" },
364  { "batchnormalization_layer_nchw", "nchw/batchnormalization_layer.cl" },
365  { "channel_shuffle_nchw", "nchw/channel_shuffle.cl" },
366  { "depth_to_space_nchw", "nchw/depth_to_space.cl" },
367  { "dequantization_layer_per_channel_nchw", "nchw/dequantization_layer.cl" },
368  { "direct_convolution1x1", "nchw/direct_convolution1x1.cl" },
369  { "direct_convolution_nchw", "nchw/direct_convolution.cl" },
370 
371  { "im2col1x1_stridex1_nchw", "nchw/im2col.cl" },
372  { "im2col3x3_nchw", "nchw/im2col.cl" },
373  { "im2col5x5_nchw", "nchw/im2col.cl" },
374  { "im2col11x11_padx0_pady0_nchw", "nchw/im2col.cl" },
375  { "im2col_generic_nchw", "nchw/im2col.cl" },
376  { "im2col_generic_padx0_pady0_nchw", "nchw/im2col.cl" },
377  { "normalization_layer_cross_map_nchw", "nchw/normalization_layer.cl" },
378  { "normalization_layer_in_map_nchw", "nchw/normalization_layer.cl" },
379  { "normalize_planar_yuv_layer_nchw", "nchw/normalize_planar_yuv_layer.cl" },
380  { "normalize_planar_yuv_layer_q8_nchw", "nchw/normalize_planar_yuv_layer_quantized.cl" },
381  { "pooling_layer_MxN_nchw", "nchw/pooling_layer.cl" },
382  { "pooling_layer_2_nchw_indices", "nchw/pooling_layer.cl" },
383  { "prior_box_layer_nchw", "nchw/prior_box_layer.cl" },
384  { "reorg_layer_nchw", "nchw/reorg_layer.cl" },
385  { "scale_nearest_neighbour_nchw", "nchw/scale.cl" },
386  { "scale_bilinear_nchw", "nchw/scale.cl" },
387  { "space_to_batch_nchw", "nchw/space_to_batch.cl" },
388  { "space_to_batch_static_nchw", "nchw/space_to_batch.cl" },
389  { "space_to_depth_nchw", "nchw/space_to_depth.cl" },
390  { "upsample_layer_nchw", "nchw/upsample_layer.cl" },
391  { "winograd_filter_transform_2x2_3x3_nchw", "nchw/winograd_filter_transform.cl" },
392  { "winograd_filter_transform_2x1_3x1_nchw", "nchw/winograd_filter_transform.cl" },
393  { "winograd_filter_transform_1x2_1x3_nchw", "nchw/winograd_filter_transform.cl" },
394  { "winograd_filter_transform_4x4_3x3_nchw", "nchw/winograd_filter_transform.cl" },
395  { "winograd_filter_transform_4x1_3x1_nchw", "nchw/winograd_filter_transform.cl" },
396  { "winograd_filter_transform_1x4_1x3_nchw", "nchw/winograd_filter_transform.cl" },
397  { "winograd_filter_transform_4x4_5x5_nchw", "nchw/winograd_filter_transform.cl" },
398  { "winograd_filter_transform_4x1_5x1_nchw", "nchw/winograd_filter_transform.cl" },
399  { "winograd_filter_transform_1x4_1x5_nchw", "nchw/winograd_filter_transform.cl" },
400  { "winograd_input_transform_2x2_3x3_stepz1_nchw", "nchw/winograd_input_transform.cl" },
401  { "winograd_input_transform_2x2_3x3_stepz2_nchw", "nchw/winograd_input_transform.cl" },
402  { "winograd_input_transform_2x1_3x1_stepz1_nchw", "nchw/winograd_input_transform.cl" },
403  { "winograd_input_transform_2x1_3x1_stepz2_nchw", "nchw/winograd_input_transform.cl" },
404  { "winograd_input_transform_1x2_1x3_stepz1_nchw", "nchw/winograd_input_transform.cl" },
405  { "winograd_input_transform_1x2_1x3_stepz2_nchw", "nchw/winograd_input_transform.cl" },
406  { "winograd_input_transform_4x4_3x3_stepz1_nchw", "nchw/winograd_input_transform.cl" },
407  { "winograd_input_transform_4x1_3x1_stepz1_nchw", "nchw/winograd_input_transform.cl" },
408  { "winograd_input_transform_1x4_1x3_stepz1_nchw", "nchw/winograd_input_transform.cl" },
409  { "winograd_input_transform_4x4_5x5_stepz1_nchw", "nchw/winograd_input_transform.cl" },
410  { "winograd_input_transform_4x1_5x1_stepz1_nchw", "nchw/winograd_input_transform.cl" },
411  { "winograd_input_transform_1x4_1x5_stepz1_nchw", "nchw/winograd_input_transform.cl" },
412  { "winograd_output_transform_2x2_3x3_nchw", "nchw/winograd_output_transform.cl" },
413  { "winograd_output_transform_2x1_3x1_nchw", "nchw/winograd_output_transform.cl" },
414  { "winograd_output_transform_1x2_1x3_nchw", "nchw/winograd_output_transform.cl" },
415  { "winograd_output_transform_4x4_3x3_nchw", "nchw/winograd_output_transform.cl" },
416  { "winograd_output_transform_4x1_3x1_nchw", "nchw/winograd_output_transform.cl" },
417  { "winograd_output_transform_1x4_1x3_nchw", "nchw/winograd_output_transform.cl" },
418  { "winograd_output_transform_4x4_5x5_nchw", "nchw/winograd_output_transform.cl" },
419  { "winograd_output_transform_4x1_5x1_nchw", "nchw/winograd_output_transform.cl" },
420  { "winograd_output_transform_1x4_1x5_nchw", "nchw/winograd_output_transform.cl" },
421 #endif /* ENABLE_NCHW_KERNELS */
422 #ifdef ENABLE_NHWC_KERNELS
423  { "batch_to_space_nhwc", "nhwc/batch_to_space.cl" },
424  { "batch_to_space_static_nhwc", "nhwc/batch_to_space.cl" },
425  { "batchnormalization_layer_nhwc", "nhwc/batchnormalization_layer.cl" },
426  { "channel_shuffle_nhwc", "nhwc/channel_shuffle.cl" },
427  { "depth_to_space_nhwc", "nhwc/depth_to_space.cl" },
428  { "dequantization_layer_per_channel_nhwc", "nhwc/dequantization_layer.cl" },
429  { "dwc_native_fp_nhwc", "nhwc/dwc_native_fp_nhwc.cl" },
430  { "dwc_native_quantized_nhwc", "nhwc/dwc_native_quantized_nhwc.cl" },
431  { "direct_convolution_nhwc", "nhwc/direct_convolution.cl" },
432  { "direct_convolution3d_ndhwc", "nhwc/direct_convolution3d.cl" },
433  { "im2col3x3_nhwc", "nhwc/im2col.cl" },
434  { "im2col9x9_nhwc", "nhwc/im2col.cl" },
435  { "im2col_generic_nhwc", "nhwc/im2col.cl" },
436  { "normalization_layer_cross_map_nhwc", "nhwc/normalization_layer.cl" },
437  { "normalization_layer_in_map_nhwc", "nhwc/normalization_layer.cl" },
438  { "normalize_planar_yuv_layer_nhwc", "nhwc/normalize_planar_yuv_layer.cl" },
439  { "normalize_planar_yuv_layer_q8_nhwc", "nhwc/normalize_planar_yuv_layer_quantized.cl" },
440  { "pooling_layer_MxN_nhwc", "nhwc/pooling_layer.cl" },
441  { "pooling_layer_2x2_nhwc", "nhwc/pooling_layer.cl" },
442  { "pooling_layer_MxN_quantized_nhwc", "nhwc/pooling_layer_quantized.cl" },
443  { "pooling_3d_layer_MxN_ndhwc", "nhwc/pooling_3d_layer.cl" },
444  { "pooling_3d_layer_MxN_ndhwc_quantized", "nhwc/pooling_3d_layer_quantized.cl" },
445  { "reorg_layer_nhwc", "nhwc/reorg_layer.cl" },
446  { "scale_nearest_neighbour_nhwc", "nhwc/scale.cl" },
447  { "scale_bilinear_nhwc", "nhwc/scale.cl" },
448  { "space_to_batch_nhwc", "nhwc/space_to_batch.cl" },
449  { "space_to_batch_static_nhwc", "nhwc/space_to_batch.cl" },
450  { "space_to_depth_nhwc", "nhwc/space_to_depth.cl" },
451  { "upsample_layer_nhwc", "nhwc/upsample_layer.cl" },
452  { "winograd_filter_transform_4x1_3x1_nhwc", "nhwc/winograd_filter_transform.cl" },
453  { "winograd_filter_transform_1x4_1x3_nhwc", "nhwc/winograd_filter_transform.cl" },
454  { "winograd_filter_transform_4x4_3x3_nhwc", "nhwc/winograd_filter_transform.cl" },
455  { "winograd_filter_transform_4x4_5x5_nhwc", "nhwc/winograd_filter_transform.cl" },
456  { "winograd_filter_transform_4x1_5x1_nhwc", "nhwc/winograd_filter_transform.cl" },
457  { "winograd_filter_transform_1x4_1x5_nhwc", "nhwc/winograd_filter_transform.cl" },
458  { "winograd_filter_transform_2x2_7x7_nhwc", "nhwc/winograd_filter_transform.cl" },
459  { "winograd_filter_transform_2x1_7x1_nhwc", "nhwc/winograd_filter_transform.cl" },
460  { "winograd_filter_transform_1x2_1x7_nhwc", "nhwc/winograd_filter_transform.cl" },
461  { "winograd_input_transform_4x1_3x1_stepz1_nhwc", "nhwc/winograd_input_transform.cl" },
462  { "winograd_input_transform_1x4_1x3_stepz1_nhwc", "nhwc/winograd_input_transform.cl" },
463  { "winograd_input_transform_4x4_3x3_stepz1_nhwc", "nhwc/winograd_input_transform.cl" },
464  { "winograd_input_transform_4x4_5x5_stepz1_nhwc", "nhwc/winograd_input_transform.cl" },
465  { "winograd_input_transform_4x1_5x1_stepz1_nhwc", "nhwc/winograd_input_transform.cl" },
466  { "winograd_input_transform_1x4_1x5_stepz1_nhwc", "nhwc/winograd_input_transform.cl" },
467  { "winograd_input_transform_2x2_7x7_stepz1_nhwc", "nhwc/winograd_input_transform.cl" },
468  { "winograd_input_transform_2x1_7x1_stepz1_nhwc", "nhwc/winograd_input_transform.cl" },
469  { "winograd_input_transform_1x2_1x7_stepz1_nhwc", "nhwc/winograd_input_transform.cl" },
470  { "winograd_output_transform_4x1_3x1_nhwc", "nhwc/winograd_output_transform.cl" },
471  { "winograd_output_transform_1x4_1x3_nhwc", "nhwc/winograd_output_transform.cl" },
472  { "winograd_output_transform_4x4_3x3_nhwc", "nhwc/winograd_output_transform.cl" },
473  { "winograd_output_transform_4x4_5x5_nhwc", "nhwc/winograd_output_transform.cl" },
474  { "winograd_output_transform_4x1_5x1_nhwc", "nhwc/winograd_output_transform.cl" },
475  { "winograd_output_transform_1x4_1x5_nhwc", "nhwc/winograd_output_transform.cl" },
476  { "winograd_output_transform_2x2_7x7_nhwc", "nhwc/winograd_output_transform.cl" },
477  { "winograd_output_transform_2x1_7x1_nhwc", "nhwc/winograd_output_transform.cl" },
478  { "winograd_output_transform_1x2_1x7_nhwc", "nhwc/winograd_output_transform.cl" },
479 #endif /* ENABLE_NHWC_KERNELS */
480 };
481 
482 const std::map<std::string, std::string> ClKernelLibrary::_program_source_map =
483 {
484 #ifdef EMBEDDED_KERNELS
485  {
486  "common/activation_layer.cl",
487 #include "./cl_kernels/common/activation_layer.clembed"
488  },
489  {
490  "common/activation_layer_quant.cl",
491 #include "./cl_kernels/common/activation_layer_quant.clembed"
492  },
493  {
494  "common/arg_min_max.cl",
495 #include "./cl_kernels/common/arg_min_max.clembed"
496  },
497  {
498  "common/bitwise_op.cl",
499 #include "./cl_kernels/common/bitwise_op.clembed"
500  },
501  {
502  "common/bounding_box_transform.cl",
503 #include "./cl_kernels/common/bounding_box_transform.clembed"
504  },
505  {
506  "common/bounding_box_transform_quantized.cl",
507 #include "./cl_kernels/common/bounding_box_transform_quantized.clembed"
508  },
509  {
510  "common/col2im.cl",
511 #include "./cl_kernels/common/col2im.clembed"
512  },
513  {
514  "common/comparisons.cl",
515 #include "./cl_kernels/common/comparisons.clembed"
516  },
517  {
518  "common/concatenate.cl",
519 #include "./cl_kernels/common/concatenate.clembed"
520  },
521  {
522  "common/convert_fc_weights.cl",
523 #include "./cl_kernels/common/convert_fc_weights.clembed"
524  },
525  {
526  "common/convolution_layer.cl",
527 #include "./cl_kernels/common/convolution_layer.clembed"
528  },
529  {
530  "common/copy_tensor.cl",
531 #include "./cl_kernels/common/copy_tensor.clembed"
532  },
533  {
534  "common/crop_tensor.cl",
535 #include "./cl_kernels/common/crop_tensor.clembed"
536  },
537  {
538  "common/deconvolution_layer.cl",
539 #include "./cl_kernels/common/deconvolution_layer.clembed"
540  },
541  {
542  "common/cast.cl",
543 #include "./cl_kernels/common/cast.clembed"
544  },
545  {
546  "common/dequantization_layer.cl",
547 #include "./cl_kernels/common/dequantization_layer.clembed"
548  },
549  {
550  "common/elementwise_operation.cl",
551 #include "./cl_kernels/common/elementwise_operation.clembed"
552  },
553  {
554  "common/elementwise_operation_quantized.cl",
555 #include "./cl_kernels/common/elementwise_operation_quantized.clembed"
556  },
557  {
558  "common/elementwise_unary.cl",
559 #include "./cl_kernels/common/elementwise_unary.clembed"
560  },
561  {
562  "common/fft.cl",
563 #include "./cl_kernels/common/fft.clembed"
564  },
565  {
566  "common/fft_digit_reverse.cl",
567 #include "./cl_kernels/common/fft_digit_reverse.clembed"
568  },
569  {
570  "common/fft_scale.cl",
571 #include "./cl_kernels/common/fft_scale.clembed"
572  },
573  {
574  "common/fill_border.cl",
575 #include "./cl_kernels/common/fill_border.clembed"
576  },
577  {
578  "common/floor.cl",
579 #include "./cl_kernels/common/floor.clembed"
580  },
581  {
582  "common/gather.cl",
583 #include "./cl_kernels/common/gather.clembed"
584  },
585  {
586  "common/gemm.cl",
587 #include "./cl_kernels/common/gemm.clembed"
588  },
589  {
590  "common/gemm_reshaped_only_rhs_mmul.cl",
591 #include "./cl_kernels/common/gemm_reshaped_only_rhs_mmul.clembed"
592  },
593  {
594  "common/gemm_utils.cl",
595 #include "./cl_kernels/common/gemm_utils.clembed"
596  },
597  {
598  "common/experimental/gemm_fused_post_ops/act_eltwise_op_act/fp_post_ops_act_eltwise_op_act.h",
599 #include "./cl_kernels/common/experimental/gemm_fused_post_ops/act_eltwise_op_act/fp_post_ops_act_eltwise_op_act.hembed"
600  },
601  {
602  "common/experimental/gemm_fused_post_ops/fp_mixed_precision_helpers.h",
603 #include "./cl_kernels/common/experimental/gemm_fused_post_ops/fp_mixed_precision_helpers.hembed"
604  },
605  {
606  "common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_native.cl",
607 #include "./cl_kernels/common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_native.clembed"
608  },
609  {
610  "common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped.cl",
611 #include "./cl_kernels/common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped.clembed"
612  },
613  {
614  "common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped_only_rhs.cl",
615 #include "./cl_kernels/common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped_only_rhs.clembed"
616  },
617  {
618  "common/gemmlowp.cl",
619 #include "./cl_kernels/common/gemmlowp.clembed"
620  },
621  {
622  "common/gemmlowp_reshaped_only_rhs_mmul.cl",
623 #include "./cl_kernels/common/gemmlowp_reshaped_only_rhs_mmul.clembed"
624  },
625  {
626  "common/gemv.cl",
627 #include "./cl_kernels/common/gemv.clembed"
628  },
629  {
630  "common/generate_proposals.cl",
631 #include "./cl_kernels/common/generate_proposals.clembed"
632  },
633  {
634  "common/generate_proposals_quantized.cl",
635 #include "./cl_kernels/common/generate_proposals_quantized.clembed"
636  },
637  {
638  "gemm_helpers.h",
639 #include "./cl_kernels/gemm_helpers.hembed"
640  },
641  {
642  "helpers.h",
643 #include "./cl_kernels/helpers.hembed"
644  },
645  {
646  "helpers_asymm.h",
647 #include "./cl_kernels/helpers_asymm.hembed"
648  },
649  {
650  "repeat.h",
651 #include "./cl_kernels/repeat.hembed"
652  },
653  {
654  "tile_helpers.h",
655 #include "./cl_kernels/tile_helpers.hembed"
656  },
657  {
658  "common/instance_normalization.cl",
659 #include "./cl_kernels/common/instance_normalization.clembed"
660  },
661  {
662  "common/l2_normalize.cl",
663 #include "./cl_kernels/common/l2_normalize.clembed"
664  },
665  {
666  "common/mean_stddev_normalization.cl",
667 #include "./cl_kernels/common/mean_stddev_normalization.clembed"
668  },
669  {
670  "common/memset.cl",
671 #include "./cl_kernels/common/memset.clembed"
672  },
673  {
674  "common/minmax_layer.cl",
675 #include "./cl_kernels/common/minmax_layer.clembed"
676  },
677  {
678  "common/nonmax.cl",
679 #include "./cl_kernels/common/nonmax.clembed"
680  },
681  {
682  "common/batchnormalization_layer.cl",
683 #include "./cl_kernels/common/batchnormalization_layer.clembed"
684  },
685  {
686  "common/pad_layer.cl",
687 #include "./cl_kernels/common/pad_layer.clembed"
688  },
689  {
690  "common/permute.cl",
691 #include "./cl_kernels/common/permute.clembed"
692  },
693  {
694  "common/pixelwise_mul_float.cl",
695 #include "./cl_kernels/common/pixelwise_mul_float.clembed"
696  },
697  {
698  "common/pixelwise_mul_int.cl",
699 #include "./cl_kernels/common/pixelwise_mul_int.clembed"
700  },
701  {
702  "common/qlstm_layer_normalization.cl",
703 #include "./cl_kernels/common/qlstm_layer_normalization.clembed"
704  },
705  {
706  "common/quantization_layer.cl",
707 #include "./cl_kernels/common/quantization_layer.clembed"
708  },
709  {
710  "common/range.cl",
711 #include "./cl_kernels/common/range.clembed"
712  },
713  {
714  "common/reduction_operation.cl",
715 #include "./cl_kernels/common/reduction_operation.clembed"
716  },
717  {
718  "common/reshape_layer.cl",
719 #include "./cl_kernels/common/reshape_layer.clembed"
720  },
721  {
722  "common/reverse.cl",
723 #include "./cl_kernels/common/reverse.clembed"
724  },
725  {
726  "common/roi_align_layer.cl",
727 #include "./cl_kernels/common/roi_align_layer.clembed"
728  },
729  {
730  "common/roi_align_layer_quantized.cl",
731 #include "./cl_kernels/common/roi_align_layer_quantized.clembed"
732  },
733  {
734  "common/roi_pooling_layer.cl",
735 #include "./cl_kernels/common/roi_pooling_layer.clembed"
736  },
737  {
738  "common/select.cl",
739 #include "./cl_kernels/common/select.clembed"
740  },
741  {
742  "common/softmax_layer.cl",
743 #include "./cl_kernels/common/softmax_layer.clembed"
744  },
745  {
746  "common/softmax_layer_quantized.cl",
747 #include "./cl_kernels/common/softmax_layer_quantized.clembed"
748  },
749  {
750  "common/slice_ops.cl",
751 #include "./cl_kernels/common/slice_ops.clembed"
752  },
753  {
754  "common/stack_layer.cl",
755 #include "./cl_kernels/common/stack_layer.clembed"
756  },
757  {
758  "common/tile.cl",
759 #include "./cl_kernels/common/tile.clembed"
760  },
761  {
762  "common/transpose.cl",
763 #include "./cl_kernels/common/transpose.clembed"
764  },
765  {
766  "types.h",
767 #include "./cl_kernels/types.hembed"
768  },
769  {
770  "common/unpooling_layer.cl",
771 #include "./cl_kernels/common/unpooling_layer.clembed"
772  },
773 #ifdef ENABLE_NCHW_KERNELS
774  {
775  "nchw/batch_to_space.cl",
776 #include "./cl_kernels/nchw/batch_to_space.clembed"
777  },
778  {
779  "nchw/channel_shuffle.cl",
780 #include "./cl_kernels/nchw/channel_shuffle.clembed"
781  },
782  {
783  "nchw/upsample_layer.cl",
784 #include "./cl_kernels/nchw/upsample_layer.clembed"
785  },
786  {
787  "nchw/depth_to_space.cl",
788 #include "./cl_kernels/nchw/depth_to_space.clembed"
789  },
790  {
791  "nchw/dequantization_layer.cl",
792 #include "./cl_kernels/nchw/dequantization_layer.clembed"
793  },
794  {
795  "nchw/direct_convolution.cl",
796 #include "./cl_kernels/nchw/direct_convolution.clembed"
797  },
798  {
799  "nchw/im2col.cl",
800 #include "./cl_kernels/nchw/im2col.clembed"
801  },
802  {
803  "nchw/normalization_layer.cl",
804 #include "./cl_kernels/nchw/normalization_layer.clembed"
805  },
806  {
807  "nchw/normalize_planar_yuv_layer.cl",
808 #include "./cl_kernels/nchw/normalize_planar_yuv_layer.clembed"
809  },
810  {
811  "nchw/normalize_planar_yuv_layer_quantized.cl",
812 #include "./cl_kernels/nchw/normalize_planar_yuv_layer_quantized.clembed"
813  },
814  {
815  "nchw/batchnormalization_layer.cl",
816 #include "./cl_kernels/nchw/batchnormalization_layer.clembed"
817  },
818  {
819  "nchw/pooling_layer.cl",
820 #include "./cl_kernels/nchw/pooling_layer.clembed"
821  },
822  {
823  "nchw/prior_box_layer.cl",
824 #include "./cl_kernels/nchw/prior_box_layer.clembed"
825  },
826  {
827  "nchw/reorg_layer.cl",
828 #include "./cl_kernels/nchw/reorg_layer.clembed"
829  },
830  {
831  "nchw/scale.cl",
832 #include "./cl_kernels/nchw/scale.clembed"
833  },
834  {
835  "nchw/space_to_batch.cl",
836 #include "./cl_kernels/nchw/space_to_batch.clembed"
837  },
838  {
839  "nchw/space_to_depth.cl",
840 #include "./cl_kernels/nchw/space_to_depth.clembed"
841  },
842  {
843  "nchw/winograd_filter_transform.cl",
844 #include "./cl_kernels/nchw/winograd_filter_transform.clembed"
845  },
846  {
847  "nchw/winograd_input_transform.cl",
848 #include "./cl_kernels/nchw/winograd_input_transform.clembed"
849  },
850  {
851  "nchw/winograd_output_transform.cl",
852 #include "./cl_kernels/nchw/winograd_output_transform.clembed"
853  },
854 #endif /* ENABLE_NCHW_KERNELS */
855 
856 #ifdef ENABLE_NHWC_KERNELS
857  {
858  "nhwc/batch_to_space.cl",
859 #include "./cl_kernels/nhwc/batch_to_space.clembed"
860  },
861  {
862  "nhwc/channel_shuffle.cl",
863 #include "./cl_kernels/nhwc/channel_shuffle.clembed"
864  },
865  {
866  "nhwc/upsample_layer.cl",
867 #include "./cl_kernels/nhwc/upsample_layer.clembed"
868  },
869  {
870  "nhwc/depth_to_space.cl",
871 #include "./cl_kernels/nhwc/depth_to_space.clembed"
872  },
873  {
874  "nhwc/dequantization_layer.cl",
875 #include "./cl_kernels/nhwc/dequantization_layer.clembed"
876  },
877  {
878  "nhwc/direct_convolution.cl",
879 #include "./cl_kernels/nhwc/direct_convolution.clembed"
880  },
881  {
882  "nhwc/direct_convolution3d.cl",
883 #include "./cl_kernels/nhwc/direct_convolution3d.clembed"
884  },
885  {
886  "nhwc/dwc_native_fp_nhwc.cl",
887 #include "./cl_kernels/nhwc/dwc_native_fp_nhwc.clembed"
888  },
889  {
890  "nhwc/dwc_native_quantized_nhwc.cl",
891 #include "./cl_kernels/nhwc/dwc_native_quantized_nhwc.clembed"
892  },
893  {
894  "nhwc/normalization_layer.cl",
895 #include "./cl_kernels/nhwc/normalization_layer.clembed"
896  },
897  {
898  "nhwc/normalize_planar_yuv_layer.cl",
899 #include "./cl_kernels/nhwc/normalize_planar_yuv_layer.clembed"
900  },
901  {
902  "nhwc/normalize_planar_yuv_layer_quantized.cl",
903 #include "./cl_kernels/nhwc/normalize_planar_yuv_layer_quantized.clembed"
904  },
905  {
906  "nhwc/im2col.cl",
907 #include "./cl_kernels/nhwc/im2col.clembed"
908  },
909  {
910  "nhwc/batchnormalization_layer.cl",
911 #include "./cl_kernels/nhwc/batchnormalization_layer.clembed"
912  },
913  {
914  "nhwc/pooling_layer.cl",
915 #include "./cl_kernels/nhwc/pooling_layer.clembed"
916  },
917  {
918  "nhwc/pooling_3d_layer.cl",
919 #include "./cl_kernels/nhwc/pooling_3d_layer.clembed"
920  },
921  {
922  "nhwc/pooling_3d_layer_quantized.cl",
923 #include "./cl_kernels/nhwc/pooling_3d_layer_quantized.clembed"
924  },
925  {
926  "nhwc/pooling_layer_quantized.cl",
927 #include "./cl_kernels/nhwc/pooling_layer_quantized.clembed"
928  },
929  {
930  "nhwc/reorg_layer.cl",
931 #include "./cl_kernels/nhwc/reorg_layer.clembed"
932  },
933  {
934  "nhwc/scale.cl",
935 #include "./cl_kernels/nhwc/scale.clembed"
936  },
937  {
938  "nhwc/space_to_batch.cl",
939 #include "./cl_kernels/nhwc/space_to_batch.clembed"
940  },
941  {
942  "nhwc/space_to_depth.cl",
943 #include "./cl_kernels/nhwc/space_to_depth.clembed"
944  },
945  {
946  "nhwc/winograd_filter_transform.cl",
947 #include "./cl_kernels/nhwc/winograd_filter_transform.clembed"
948  },
949  {
950  "nhwc/winograd_input_transform.cl",
951 #include "./cl_kernels/nhwc/winograd_input_transform.clembed"
952  },
953  {
954  "nhwc/winograd_output_transform.cl",
955 #include "./cl_kernels/nhwc/winograd_output_transform.clembed"
956  },
957 #endif /* ENABLE_NHWC_KERNELS */
958 #endif /* EMBEDDED_KERNELS */
959 };
960 
962 {
963  static ClKernelLibrary _kernel_library;
964  return _kernel_library;
965 }
966 
967 std::string ClKernelLibrary::program_name(const std::string &kernel_name) const
968 {
969  // Find which program contains the kernel
970  auto kernel_program_it = _kernel_program_map.find(kernel_name);
971 
972  if(_kernel_program_map.end() == kernel_program_it)
973  {
974  ARM_COMPUTE_ERROR_VAR("Kernel %s not found in the CLKernelLibrary", kernel_name.c_str());
975  }
976 
977  const std::string program_name = kernel_program_it->second;
978 
979  return program_name;
980 }
981 
983 {
984  _kernel_path = std::move(kernel_path);
985  _kernel_path += "/";
986 }
987 
988 const std::string &ClKernelLibrary::kernel_path() const
989 {
990  return _kernel_path;
991 }
992 
994 {
995 #ifdef EMBEDDED_KERNELS
996 #ifdef ARM_COMPUTE_COMPRESSED_KERNELS
997  const auto inflatted_program_source_it = _decompressed_source_map.find(program_name);
998  if(inflatted_program_source_it != _decompressed_source_map.end())
999  {
1000  return ClProgramInfo{ inflatted_program_source_it->second, false };
1001  }
1002 #endif /* ARM_COMPUTE_COMPRESSED_KERNELS */
1003 
1004  const auto program_source_it = _program_source_map.find(program_name);
1005  if(program_source_it == _program_source_map.end())
1006  {
1007  ARM_COMPUTE_ERROR_VAR("Embedded program for %s does not exist.", program_name.c_str());
1008  }
1009  std::string program_source = program_source_it->second;
1010 
1011 #ifdef ARM_COMPUTE_COMPRESSED_KERNELS
1012  std::string decompressed_program_source = decompress_zlib(decode_base64(program_source_it->second));
1013  ARM_COMPUTE_ERROR_ON_MSG(decompressed_program_source.empty(), "Cannot de-compress requested program");
1014  _decompressed_source_map.insert(std::make_pair(program_name, decompressed_program_source));
1015  program_source = std::move(decompressed_program_source);
1016 #endif /* ARM_COMPUTE_COMPRESSED_KERNELS */
1017 
1018  return ClProgramInfo{ program_source, false };
1019 #else /* EMBEDDED_KERNELS */
1020  // Check for binary
1021  std::string source_name = _kernel_path + program_name;
1022  std::string binary_name = source_name + "bin";
1023  std::string program_source{};
1024  bool is_binary = false;
1025 
1026  if(std::ifstream(binary_name).is_open())
1027  {
1028  program_source = read_file(binary_name, true);
1029  is_binary = true;
1030  }
1031  else if(std::ifstream(source_name).is_open())
1032  {
1033  program_source = read_file(source_name, false);
1034  }
1035  else
1036  {
1037  ARM_COMPUTE_ERROR_VAR("Kernel file %s does not exist.", source_name.c_str());
1038  }
1039 
1040  return ClProgramInfo{ program_source, is_binary };
1041 #endif /* EMBEDDED_KERNELS */
1042 }
1043 } // namespace opencl
1044 } // namespace arm_compute
ClKernelLibrary contains all the OpenCL kernels that are used throughout the library.
#define ARM_COMPUTE_ERROR_VAR(msg,...)
Print the given message then throw an std::runtime_error.
Definition: Error.h:346
ClProgramInfo program(const std::string &program_name) const
Gets the source of the selected program.
std::string program_name(const std::string &kernel_name) const
Returns the program name given a kernel name.
Copyright (c) 2017-2022 Arm Limited.
const std::string & kernel_path() const
Gets the path that the kernels reside in.
static ClKernelLibrary & get()
Access the KernelLibrary singleton.
std::string read_file(const std::string &filename, bool binary)
Load an entire file in memory.
Definition: Utils.cpp:38
#define ARM_COMPUTE_ERROR_ON_MSG(cond, msg)
Definition: Error.h:456
Structure to encapsulte program related information.
void end(TokenStream &in, bool &valid)
Definition: MLGOParser.cpp:290
void set_kernel_path(std::string kernel_path)
Sets the path that the kernels reside in.
std::string kernel_name