XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 1 | // Copyright 2019 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 | #include <stdlib.h> |
| 10 | #include <string.h> |
| 11 | |
| 12 | #include <xnnpack.h> |
| 13 | #include <xnnpack/allocator.h> |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 14 | #include <xnnpack/log.h> |
Marat Dukhan | eeaa7bd | 2019-10-25 17:31:25 -0700 | [diff] [blame] | 15 | #include <xnnpack/operator.h> |
| 16 | #include <xnnpack/params-init.h> |
| 17 | #include <xnnpack/params.h> |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 18 | |
| 19 | |
| 20 | enum xnn_status xnn_create_prelu_nc_f32( |
| 21 | size_t channels, |
| 22 | size_t input_stride, |
| 23 | size_t output_stride, |
| 24 | const float* negative_slope, |
| 25 | float output_min, |
| 26 | float output_max, |
| 27 | uint32_t flags, |
| 28 | xnn_operator_t* prelu_op_out) |
| 29 | { |
| 30 | xnn_operator_t prelu_op = NULL; |
| 31 | enum xnn_status status = xnn_status_uninitialized; |
| 32 | |
| 33 | if (!xnn_params.initialized) { |
| 34 | xnn_log_error("failed to create PReLU operator: XNNPACK is not initialized"); |
| 35 | goto error; |
| 36 | } |
| 37 | |
| 38 | status = xnn_status_invalid_parameter; |
| 39 | |
| 40 | if (channels == 0) { |
| 41 | xnn_log_error( |
| 42 | "failed to create PReLU operator with %zu channels: number of channels must be non-zero", channels); |
| 43 | goto error; |
| 44 | } |
| 45 | |
| 46 | if (input_stride < channels) { |
| 47 | xnn_log_error( |
| 48 | "failed to create PReLU operator with input element stride of %zu: " |
| 49 | "stride must be at least as large as the number of channels (%zu)", |
| 50 | input_stride, channels); |
| 51 | goto error; |
| 52 | } |
| 53 | |
| 54 | if (output_stride < channels) { |
| 55 | xnn_log_error( |
| 56 | "failed to create PReLU operator with output element stride of %zu: " |
| 57 | "stride must be at least as large as the number of channels (%zu)", |
| 58 | output_stride, channels); |
| 59 | goto error; |
| 60 | } |
| 61 | |
| 62 | if (output_min >= output_max) { |
| 63 | xnn_log_error( |
| 64 | "failed to create PReLU operator with [%.7g, %.7g] output range: lower bound must be below upper bound", |
| 65 | output_min, output_max); |
| 66 | goto error; |
| 67 | } |
| 68 | |
| 69 | status = xnn_status_out_of_memory; |
| 70 | |
Marat Dukhan | 04f03be | 2019-11-19 12:36:47 -0800 | [diff] [blame] | 71 | prelu_op = xnn_allocate_zero_simd_memory(sizeof(struct xnn_operator)); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 72 | if (prelu_op == NULL) { |
| 73 | xnn_log_error("failed to allocate %zu bytes for PReLU operator descriptor", sizeof(struct xnn_operator)); |
| 74 | goto error; |
| 75 | } |
| 76 | |
Marat Dukhan | 69c3f2c | 2019-11-06 12:30:01 -0800 | [diff] [blame] | 77 | const size_t packed_channels = round_up_po2(channels, XNN_EXTRA_BYTES / sizeof(float)); |
Marat Dukhan | 04f03be | 2019-11-19 12:36:47 -0800 | [diff] [blame] | 78 | prelu_op->packed_weights = xnn_allocate_simd_memory(packed_channels * sizeof(float)); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 79 | if (prelu_op->packed_weights == NULL) { |
| 80 | xnn_log_error("failed to allocate %zu bytes for packed slope data", |
| 81 | packed_channels * sizeof(float)); |
| 82 | goto error; |
| 83 | } |
| 84 | memcpy(prelu_op->packed_weights, negative_slope, channels * sizeof(float)); |
| 85 | |
| 86 | prelu_op->channels = channels; |
| 87 | prelu_op->input_pixel_stride = input_stride; |
| 88 | prelu_op->output_pixel_stride = output_stride; |
Marat Dukhan | eeaa7bd | 2019-10-25 17:31:25 -0700 | [diff] [blame] | 89 | prelu_op->f32_output_params = xnn_init_f32_output_params(output_min, output_max); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 90 | |
Marat Dukhan | efc47b8 | 2019-11-18 09:25:38 -0800 | [diff] [blame] | 91 | prelu_op->type = xnn_operator_type_prelu_nc_f32; |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 92 | prelu_op->ukernel.type = xnn_ukernel_type_prelu; |
| 93 | |
| 94 | prelu_op->state = xnn_run_state_invalid; |
| 95 | |
| 96 | *prelu_op_out = prelu_op; |
| 97 | return xnn_status_success; |
| 98 | |
| 99 | error: |
| 100 | xnn_delete_operator(prelu_op); |
| 101 | return status; |
| 102 | } |
| 103 | |
| 104 | enum xnn_status xnn_setup_prelu_nc_f32( |
| 105 | xnn_operator_t prelu_op, |
| 106 | size_t batch_size, |
| 107 | const float* input, |
| 108 | float* output, |
| 109 | pthreadpool_t threadpool) |
| 110 | { |
Marat Dukhan | efc47b8 | 2019-11-18 09:25:38 -0800 | [diff] [blame] | 111 | if (prelu_op->type != xnn_operator_type_prelu_nc_f32) { |
| 112 | xnn_log_error("failed to setup PReLU (NC, F32) operator: operator type mismatch"); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 113 | return xnn_status_invalid_parameter; |
| 114 | } |
| 115 | prelu_op->state = xnn_run_state_invalid; |
| 116 | |
| 117 | if (!xnn_params.initialized) { |
| 118 | xnn_log_error("failed to setup PReLU operator: XNNPACK is not initialized"); |
| 119 | return xnn_status_uninitialized; |
| 120 | } |
| 121 | |
| 122 | if (batch_size == 0) { |
| 123 | prelu_op->state = xnn_run_state_skip; |
| 124 | return xnn_status_success; |
| 125 | } |
| 126 | |
| 127 | const size_t channels = prelu_op->channels; |
| 128 | prelu_op->context.prelu = (struct prelu_context) { |
| 129 | .n = channels * sizeof(float), |
| 130 | .x = input, |
| 131 | .x_stride = prelu_op->input_pixel_stride * sizeof(float), |
| 132 | .w = prelu_op->packed_weights, |
| 133 | .y = output, |
| 134 | .y_stride = prelu_op->output_pixel_stride * sizeof(float), |
| 135 | .ukernel = xnn_params.f32.prelu.ukernel, |
| 136 | .params = prelu_op->f32_output_params, |
| 137 | }; |
Marat Dukhan | 69c3f2c | 2019-11-06 12:30:01 -0800 | [diff] [blame] | 138 | |
| 139 | size_t batch_tile = batch_size; |
| 140 | const size_t num_threads = pthreadpool_get_threads_count(threadpool); |
| 141 | if (num_threads > 1) { |
| 142 | const size_t target_tiles_per_thread = 5; |
| 143 | const size_t max_batch_tile = divide_round_up(batch_size, num_threads * target_tiles_per_thread); |
| 144 | if (max_batch_tile < batch_tile) { |
| 145 | const uint32_t row_tile = xnn_params.f32.prelu.row_tile; |
| 146 | batch_tile = min(batch_tile, divide_round_up(batch_tile, max_batch_tile * row_tile) * row_tile); |
| 147 | } |
| 148 | } |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 149 | prelu_op->compute.type = xnn_parallelization_type_1d_tile_1d; |
| 150 | prelu_op->compute.task_1d_tile_1d = (pthreadpool_task_1d_tile_1d_t) xnn_compute_prelu; |
| 151 | prelu_op->compute.range[0] = batch_size; |
Marat Dukhan | 69c3f2c | 2019-11-06 12:30:01 -0800 | [diff] [blame] | 152 | prelu_op->compute.tile[0] = batch_tile; |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 153 | prelu_op->state = xnn_run_state_ready; |
| 154 | |
| 155 | return xnn_status_success; |
| 156 | } |