Marat Dukhan | 1d75a54 | 2020-02-03 12:23:01 -0800 | [diff] [blame] | 1 | // 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 <assert.h> |
| 7 | #include <stddef.h> |
| 8 | #include <stdint.h> |
| 9 | #include <stdlib.h> |
| 10 | |
| 11 | #include <xnnpack.h> |
| 12 | #include <xnnpack/allocator.h> |
| 13 | #include <xnnpack/log.h> |
| 14 | #include <xnnpack/params.h> |
| 15 | #include <xnnpack/subgraph.h> |
| 16 | |
| 17 | |
| 18 | enum xnn_status xnn_define_tensor_value( |
| 19 | xnn_subgraph_t subgraph, |
| 20 | enum xnn_datatype datatype, |
| 21 | size_t num_dims, |
| 22 | const size_t* dims, |
| 23 | const void* data, |
| 24 | uint32_t external_id, |
| 25 | uint32_t flags, |
| 26 | uint32_t* id_out) |
| 27 | { |
Marat Dukhan | 854fb6b | 2020-06-19 12:33:44 -0700 | [diff] [blame^] | 28 | if ((xnn_params.init_flags & XNN_INIT_FLAG_XNNPACK) == 0) { |
Marat Dukhan | 1d75a54 | 2020-02-03 12:23:01 -0800 | [diff] [blame] | 29 | xnn_log_error("failed to create Dense Tensor value: XNNPACK is not initialized"); |
| 30 | return xnn_status_uninitialized; |
| 31 | } |
| 32 | |
| 33 | if (external_id != XNN_INVALID_VALUE_ID && external_id >= subgraph->external_value_ids) { |
| 34 | xnn_log_error( |
| 35 | "failed to create Dense Tensor value: " |
| 36 | "external ID %" PRIu32 " exceeds the number of reserved external IDs in subgraph (%" PRIu32 ")", |
| 37 | external_id, subgraph->external_value_ids); |
| 38 | return xnn_status_invalid_parameter; |
| 39 | } |
| 40 | |
| 41 | if (num_dims > XNN_MAX_TENSOR_DIMS) { |
| 42 | xnn_log_error("failed to create Dense Tensor value: num of dimensions exceeds XNNPACK limit (%d)", |
| 43 | XNN_MAX_TENSOR_DIMS); |
| 44 | return xnn_status_unsupported_parameter; |
| 45 | } |
| 46 | |
| 47 | switch (datatype) { |
| 48 | case xnn_datatype_fp32: |
| 49 | case xnn_datatype_fp16: |
| 50 | break; |
| 51 | default: |
| 52 | xnn_log_error("failed to create Dense Tensor value: invalid data type (%d)", datatype); |
| 53 | return xnn_status_unsupported_parameter; |
| 54 | } |
| 55 | |
| 56 | struct xnn_value* value = subgraph->values + external_id; |
| 57 | if (external_id == XNN_INVALID_VALUE_ID) { |
| 58 | value = xnn_subgraph_new_internal_value(subgraph); |
| 59 | if (value == NULL) { |
| 60 | return xnn_status_out_of_memory; |
| 61 | } |
| 62 | } |
| 63 | value->type = xnn_value_type_dense_tensor; |
| 64 | value->datatype = datatype; |
| 65 | value->shape.num_dims = num_dims; |
| 66 | memcpy(value->shape.dim, dims, num_dims * sizeof(size_t)); |
| 67 | value->flags = flags; |
| 68 | value->data = data; |
| 69 | |
| 70 | *id_out = value->id; |
| 71 | return xnn_status_success; |
| 72 | } |
| 73 | |
| 74 | size_t xnn_tensor_get_size( |
| 75 | xnn_subgraph_t subgraph, |
| 76 | uint32_t value_id) |
| 77 | { |
| 78 | assert(value_id < subgraph->num_values); |
| 79 | |
| 80 | const struct xnn_value* value = subgraph->values + value_id; |
| 81 | assert(value->type == xnn_value_type_dense_tensor); |
| 82 | assert(value->datatype != xnn_datatype_invalid); |
| 83 | |
| 84 | size_t size = 0; |
| 85 | switch (value->datatype) { |
| 86 | case xnn_datatype_fp16: |
| 87 | size = 2; |
| 88 | break; |
| 89 | case xnn_datatype_fp32: |
| 90 | size = 4; |
| 91 | break; |
| 92 | case xnn_datatype_invalid: |
| 93 | XNN_UNREACHABLE; |
| 94 | } |
| 95 | |
| 96 | for (size_t i = 0; i < value->shape.num_dims; i++) { |
| 97 | size *= value->shape.dim[i]; |
| 98 | } |
| 99 | |
| 100 | return size; |
| 101 | } |