| // Copyright 2019 Google LLC |
| // |
| // This source code is licensed under the BSD-style license found in the |
| // LICENSE file in the root directory of this source tree. |
| |
| #include <assert.h> |
| #include <math.h> |
| #include <stddef.h> |
| #include <stdint.h> |
| #include <stdlib.h> |
| |
| #include <xnnpack.h> |
| #include <xnnpack/allocator.h> |
| #include <xnnpack/operator.h> |
| #include <xnnpack/log.h> |
| #include <xnnpack/params.h> |
| |
| |
| enum xnn_status xnn_create_channel_pad_nc_x32( |
| size_t input_channels, |
| size_t pad_before_channels, |
| size_t pad_after_channels, |
| size_t input_stride, |
| size_t output_stride, |
| const void* pad_value, |
| uint32_t flags, |
| xnn_operator_t* channel_pad_op_out) |
| { |
| xnn_operator_t channel_pad_op = NULL; |
| enum xnn_status status = xnn_status_uninitialized; |
| |
| if (!xnn_params.initialized) { |
| xnn_log_error("failed to create Channel Pad operator: XNNPACK is not initialized"); |
| goto error; |
| } |
| |
| status = xnn_status_invalid_parameter; |
| |
| if (input_channels == 0) { |
| xnn_log_error( |
| "failed to create Channel Pad operator with %zu input channels: number of channels must be non-zero", |
| input_channels); |
| goto error; |
| } |
| |
| if (input_stride < input_channels) { |
| xnn_log_error( |
| "failed to create Channel Pad operator with input element stride of %zu: " |
| "stride must be at least as large as the number of input channels (%zu)", |
| input_stride, input_channels); |
| goto error; |
| } |
| |
| const size_t output_channels = pad_before_channels + input_channels + pad_after_channels; |
| if (output_stride < output_channels) { |
| xnn_log_error( |
| "failed to create Channel Pad operator with output element stride of %zu: " |
| "stride must be at least as large as the number of output channels (%zu+%zu+%zu)", |
| output_stride, pad_before_channels, input_channels, pad_after_channels); |
| goto error; |
| } |
| |
| status = xnn_status_out_of_memory; |
| |
| channel_pad_op = xnn_allocate_zero_memory(sizeof(struct xnn_operator)); |
| if (channel_pad_op == NULL) { |
| xnn_log_error("failed to allocate %zu bytes for Channel Pad operator descriptor", sizeof(struct xnn_operator)); |
| goto error; |
| } |
| |
| channel_pad_op->channels = input_channels; |
| channel_pad_op->pad_before_channels = pad_before_channels; |
| channel_pad_op->pad_after_channels = pad_after_channels; |
| channel_pad_op->input_pixel_stride = input_stride; |
| channel_pad_op->output_pixel_stride = output_stride; |
| channel_pad_op->pad_value = *((const uint32_t*) pad_value); |
| |
| channel_pad_op->type = xnn_operator_type_channel_pad_x32; |
| channel_pad_op->ukernel.type = xnn_ukernel_type_pad; |
| |
| channel_pad_op->state = xnn_run_state_invalid; |
| |
| *channel_pad_op_out = channel_pad_op; |
| return xnn_status_success; |
| |
| error: |
| xnn_delete_operator(channel_pad_op); |
| return status; |
| } |
| |
| enum xnn_status xnn_setup_channel_pad_nc_x32( |
| xnn_operator_t channel_pad_op, |
| size_t batch_size, |
| const void* input, |
| void* output, |
| pthreadpool_t threadpool) |
| { |
| if (channel_pad_op->type != xnn_operator_type_channel_pad_x32) { |
| xnn_log_error("failed to setup Channel Pad (X32) operator: operator type mismatch"); |
| return xnn_status_invalid_parameter; |
| } |
| channel_pad_op->state = xnn_run_state_invalid; |
| |
| if (!xnn_params.initialized) { |
| xnn_log_error("failed to setup Channel Pad operator: XNNPACK is not initialized"); |
| return xnn_status_uninitialized; |
| } |
| |
| if (batch_size == 0) { |
| channel_pad_op->state = xnn_run_state_skip; |
| return xnn_status_success; |
| } |
| |
| channel_pad_op->batch_size = batch_size; |
| channel_pad_op->input = input; |
| channel_pad_op->output = output; |
| |
| channel_pad_op->context.channel_pad = (struct channel_pad_context) { |
| .x = input, |
| .x_stride = channel_pad_op->input_pixel_stride * sizeof(uint32_t), |
| .y = output, |
| .y_stride = channel_pad_op->output_pixel_stride * sizeof(uint32_t), |
| .n = channel_pad_op->channels * sizeof(uint32_t), |
| .l = channel_pad_op->pad_before_channels * sizeof(uint32_t), |
| .r = channel_pad_op->pad_after_channels * sizeof(uint32_t), |
| .c = channel_pad_op->pad_value, |
| .ukernel = xnn_params.x32.pad.ukernel, |
| }; |
| channel_pad_op->compute.type = xnn_parallelization_type_1d_tile_1d; |
| channel_pad_op->compute.task_1d_tile_1d = |
| (pthreadpool_task_1d_tile_1d_t) xnn_compute_channel_pad; |
| channel_pad_op->compute.range[0] = batch_size; |
| channel_pad_op->compute.tile[0] = xnn_params.x32.pad.mr; |
| channel_pad_op->state = xnn_run_state_ready; |
| |
| return xnn_status_success; |
| } |