| // Copyright 2020 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 <math.h> |
| #include <stddef.h> |
| #include <stdint.h> |
| |
| #include <xnnpack.h> |
| #include <xnnpack/log.h> |
| #include <xnnpack/params.h> |
| #include <xnnpack/subgraph.h> |
| |
| |
| enum xnn_status xnn_define_square_root( |
| xnn_subgraph_t subgraph, |
| uint32_t input_id, |
| uint32_t output_id, |
| uint32_t flags) |
| { |
| if ((xnn_params.init_flags & XNN_INIT_FLAG_XNNPACK) == 0) { |
| xnn_log_error("failed to define %s operator: XNNPACK is not initialized", |
| xnn_node_type_to_string(xnn_node_type_square_root)); |
| return xnn_status_uninitialized; |
| } |
| |
| if (input_id >= subgraph->num_values) { |
| xnn_log_error( |
| "failed to define %s operator with input ID #%" PRIu32 ": invalid Value ID", |
| xnn_node_type_to_string(xnn_node_type_square_root), input_id); |
| return xnn_status_invalid_parameter; |
| } |
| |
| const struct xnn_value* input_value = &subgraph->values[input_id]; |
| if (input_value->type != xnn_value_type_dense_tensor) { |
| xnn_log_error( |
| "failed to define %s operator with input ID #%" PRIu32 ": unsupported Value type %d (expected dense tensor)", |
| xnn_node_type_to_string(xnn_node_type_square_root), input_id, input_value->type); |
| return xnn_status_invalid_parameter; |
| } |
| |
| switch (input_value->datatype) { |
| case xnn_datatype_fp32: |
| break; |
| default: |
| xnn_log_error( |
| "failed to define %s operator with input ID #%" PRIu32 ": unsupported Value datatype %s (%d)", |
| xnn_node_type_to_string(xnn_node_type_square_root), input_id, |
| xnn_datatype_to_string(input_value->datatype), input_value->datatype); |
| return xnn_status_invalid_parameter; |
| } |
| |
| if (output_id >= subgraph->num_values) { |
| xnn_log_error( |
| "failed to define %s operator with output ID #%" PRIu32 ": invalid Value ID", |
| xnn_node_type_to_string(xnn_node_type_square_root), output_id); |
| return xnn_status_invalid_parameter; |
| } |
| |
| const struct xnn_value* output_value = &subgraph->values[output_id]; |
| if (output_value->type != xnn_value_type_dense_tensor) { |
| xnn_log_error( |
| "failed to define %s operator with output ID #%" PRIu32 ": unsupported Value type %d (expected dense tensor)", |
| xnn_node_type_to_string(xnn_node_type_square_root), output_id, output_value->type); |
| return xnn_status_invalid_parameter; |
| } |
| |
| switch (output_value->datatype) { |
| case xnn_datatype_fp32: |
| break; |
| default: |
| xnn_log_error( |
| "failed to define %s operator with output ID #%" PRIu32 ": unsupported Value datatype %s (%d)", |
| xnn_node_type_to_string(xnn_node_type_square_root), output_id, |
| xnn_datatype_to_string(output_value->datatype), output_value->datatype); |
| return xnn_status_invalid_parameter; |
| } |
| |
| struct xnn_node* node = xnn_subgraph_new_node(subgraph); |
| if (node == NULL) { |
| return xnn_status_out_of_memory; |
| } |
| |
| node->type = xnn_node_type_square_root; |
| node->num_inputs = 1; |
| node->inputs[0] = input_id; |
| node->num_outputs = 1; |
| node->outputs[0] = output_id; |
| node->flags = flags; |
| |
| return xnn_status_success; |
| } |