Georgios Pinitas | 3f26ef4 | 2021-02-23 10:01:33 +0000 | [diff] [blame^] | 1 | /* |
| 2 | * Copyright (c) 2021 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 | */ |
| 24 | #include "arm_compute/AclEntrypoints.h" |
| 25 | #include "src/common/ITensor.h" |
| 26 | #include "src/common/utils/Macros.h" |
| 27 | |
| 28 | namespace |
| 29 | { |
| 30 | /**< Maximum allowed dimensions by Compute Library */ |
| 31 | constexpr int32_t max_allowed_dims = 6; |
| 32 | |
| 33 | /** Check if a descriptor is valid |
| 34 | * |
| 35 | * @param desc Descriptor to validate |
| 36 | * |
| 37 | * @return true in case of success else false |
| 38 | */ |
| 39 | bool is_desc_valid(const AclTensorDescriptor &desc) |
| 40 | { |
| 41 | if(desc.data_type > AclFloat32) |
| 42 | { |
| 43 | ARM_COMPUTE_LOG_ERROR_ACL("[AclCreateTensor]: Unknown data type!"); |
| 44 | return false; |
| 45 | } |
| 46 | if(desc.ndims > max_allowed_dims) |
| 47 | { |
| 48 | ARM_COMPUTE_LOG_ERROR_ACL("[AclCreateTensor]: Dimensions surpass the maximum allowed value!"); |
| 49 | return false; |
| 50 | } |
| 51 | if(desc.ndims > 0 && desc.shape == nullptr) |
| 52 | { |
| 53 | ARM_COMPUTE_LOG_ERROR_ACL("[AclCreateTensor]: Dimensions values are empty while dimensionality is > 0!"); |
| 54 | return false; |
| 55 | } |
| 56 | return true; |
| 57 | } |
| 58 | } // namespace |
| 59 | |
| 60 | extern "C" AclStatus AclCreateTensor(AclTensor *external_tensor, |
| 61 | AclContext external_ctx, |
| 62 | const AclTensorDescriptor *desc, |
| 63 | bool allocate) |
| 64 | { |
| 65 | using namespace arm_compute; |
| 66 | |
| 67 | IContext *ctx = get_internal(external_ctx); |
| 68 | |
| 69 | StatusCode status = detail::validate_internal_context(ctx); |
| 70 | ARM_COMPUTE_RETURN_CENUM_ON_FAILURE(status); |
| 71 | |
| 72 | if(desc == nullptr || !is_desc_valid(*desc)) |
| 73 | { |
| 74 | ARM_COMPUTE_LOG_ERROR_ACL("[AclCreateTensor]: Descriptor is invalid!"); |
| 75 | return AclInvalidArgument; |
| 76 | } |
| 77 | |
| 78 | auto tensor = ctx->create_tensor(*desc, allocate); |
| 79 | if(tensor == nullptr) |
| 80 | { |
| 81 | ARM_COMPUTE_LOG_ERROR_ACL("[AclCreateTensor]: Couldn't allocate internal resources for tensor creation!"); |
| 82 | return AclOutOfMemory; |
| 83 | } |
| 84 | *external_tensor = tensor; |
| 85 | |
| 86 | return AclSuccess; |
| 87 | } |
| 88 | |
| 89 | extern "C" AclStatus AclMapTensor(AclTensor external_tensor, void **handle) |
| 90 | { |
| 91 | using namespace arm_compute; |
| 92 | |
| 93 | auto tensor = get_internal(external_tensor); |
| 94 | StatusCode status = detail::validate_internal_tensor(tensor); |
| 95 | ARM_COMPUTE_RETURN_CENUM_ON_FAILURE(status); |
| 96 | |
| 97 | if(handle == nullptr) |
| 98 | { |
| 99 | ARM_COMPUTE_LOG_ERROR_ACL("[AclMapTensor]: Handle object is nullptr!"); |
| 100 | return AclInvalidArgument; |
| 101 | } |
| 102 | |
| 103 | *handle = tensor->map(); |
| 104 | |
| 105 | return AclSuccess; |
| 106 | } |
| 107 | |
| 108 | extern "C" AclStatus AclUnmapTensor(AclTensor external_tensor, void *handle) |
| 109 | { |
| 110 | ARM_COMPUTE_UNUSED(handle); |
| 111 | |
| 112 | using namespace arm_compute; |
| 113 | |
| 114 | auto tensor = get_internal(external_tensor); |
| 115 | StatusCode status = detail::validate_internal_tensor(tensor); |
| 116 | ARM_COMPUTE_RETURN_CENUM_ON_FAILURE(status); |
| 117 | |
| 118 | status = tensor->unmap(); |
| 119 | return AclSuccess; |
| 120 | } |
| 121 | |
| 122 | extern "C" AclStatus AclTensorImport(AclTensor external_tensor, void *handle, AclImportMemoryType type) |
| 123 | { |
| 124 | using namespace arm_compute; |
| 125 | |
| 126 | auto tensor = get_internal(external_tensor); |
| 127 | StatusCode status = detail::validate_internal_tensor(tensor); |
| 128 | ARM_COMPUTE_RETURN_CENUM_ON_FAILURE(status); |
| 129 | |
| 130 | status = tensor->import(handle, utils::as_enum<ImportMemoryType>(type)); |
| 131 | ARM_COMPUTE_RETURN_CENUM_ON_FAILURE(status); |
| 132 | |
| 133 | return AclSuccess; |
| 134 | } |
| 135 | |
| 136 | extern "C" AclStatus AclDestroyTensor(AclTensor external_tensor) |
| 137 | { |
| 138 | using namespace arm_compute; |
| 139 | |
| 140 | auto tensor = get_internal(external_tensor); |
| 141 | |
| 142 | StatusCode status = detail::validate_internal_tensor(tensor); |
| 143 | ARM_COMPUTE_RETURN_CENUM_ON_FAILURE(status); |
| 144 | |
| 145 | delete tensor; |
| 146 | |
| 147 | return AclSuccess; |
| 148 | } |