| |
| // Copyright (c) 2022, ARM Limited. |
| // |
| // Licensed under the Apache License, Version 2.0 (the "License"); |
| // you may not use this file except in compliance with the License. |
| // You may obtain a copy of the License at |
| // |
| // http://www.apache.org/licenses/LICENSE-2.0 |
| // |
| // Unless required by applicable law or agreed to in writing, software |
| // distributed under the License is distributed on an "AS IS" BASIS, |
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| // See the License for the specific language governing permissions and |
| // limitations under the License. |
| |
| // THIS FILE IS GENERATED. DO NOT EDIT! |
| // See scripts/operator_api/generate_api.py |
| |
| #ifndef OPERATORS_H_ |
| #define OPERATORS_H_ |
| |
| #include <stddef.h> |
| #include <stdint.h> |
| |
| #ifdef __cplusplus |
| extern "C" |
| { |
| #endif /* __cplusplus */ |
| |
| // Note status needs to be aligned with graph_status |
| enum tosa_status_t |
| { |
| tosa_status_valid = 0, |
| tosa_status_unpredictable = 1, |
| tosa_status_error = 2 |
| }; |
| |
| enum tosa_mode_t |
| { |
| tosa_mode_unknown = 0, |
| tosa_mode_nearest = 1, |
| tosa_mode_bilinear = 2, |
| tosa_mode_min = 3, |
| tosa_mode_max = 4 |
| }; |
| |
| enum tosa_datatype_t |
| { |
| tosa_datatype_bf16_t = 0, |
| tosa_datatype_bool_t = 1, |
| tosa_datatype_fp16_t = 2, |
| tosa_datatype_fp32_t = 3, |
| tosa_datatype_int16_t = 4, |
| tosa_datatype_int32_t = 5, |
| tosa_datatype_int48_t = 6, |
| tosa_datatype_int4_t = 7, |
| tosa_datatype_int8_t = 8, |
| tosa_datatype_uint16_t = 9, |
| tosa_datatype_uint8_t = 10, |
| }; |
| |
| struct tosa_tensor_t |
| { |
| int32_t* shape; |
| int32_t num_dims; |
| tosa_datatype_t data_type; |
| uint8_t* data; |
| size_t size; |
| }; |
| |
| tosa_status_t tosa_run_argmax(tosa_tensor_t client_input, const int32_t client_axis, tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_avg_pool2d(tosa_tensor_t client_input, |
| const int32_t client_kernel[2], |
| const int32_t client_stride[2], |
| const int32_t client_pad[4], |
| const int32_t client_input_zp, |
| const int32_t client_output_zp, |
| tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_conv2d(tosa_tensor_t client_input, |
| tosa_tensor_t client_weight, |
| tosa_tensor_t client_bias, |
| const int32_t client_pad[4], |
| const int32_t client_stride[2], |
| const int32_t client_dilation[2], |
| const int32_t client_input_zp, |
| const int32_t client_weight_zp, |
| tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_conv3d(tosa_tensor_t client_input, |
| tosa_tensor_t client_weight, |
| tosa_tensor_t client_bias, |
| const int32_t client_pad[6], |
| const int32_t client_stride[3], |
| const int32_t client_dilation[3], |
| const int32_t client_input_zp, |
| const int32_t client_weight_zp, |
| tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_depthwise_conv2d(tosa_tensor_t client_input, |
| tosa_tensor_t client_weight, |
| tosa_tensor_t client_bias, |
| const int32_t client_pad[4], |
| const int32_t client_stride[2], |
| const int32_t client_dilation[2], |
| const int32_t client_input_zp, |
| const int32_t client_weight_zp, |
| tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_fully_connected(tosa_tensor_t client_input, |
| const int32_t client_input_zp, |
| const int32_t client_weight_zp, |
| tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_matmul(tosa_tensor_t client_a, |
| tosa_tensor_t client_b, |
| const int32_t client_a_zp, |
| const int32_t client_b_zp, |
| tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_max_pool2d(tosa_tensor_t client_input, |
| const int32_t client_kernel[2], |
| const int32_t client_stride[2], |
| const int32_t client_pad[4], |
| const int32_t client_input_zp, |
| const int32_t client_output_zp, |
| tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_transpose_conv2d(tosa_tensor_t client_input, |
| tosa_tensor_t client_weight, |
| tosa_tensor_t client_bias, |
| const int32_t client_out_pad[4], |
| const int32_t client_stride[2], |
| const int32_t client_out_shape[4], |
| const int32_t client_input_zp, |
| const int32_t client_weight_zp, |
| const int32_t client_pad_len, |
| const int32_t client_pad[], |
| const int32_t client_dilation_len, |
| const int32_t client_dilation[], |
| tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_clamp(tosa_tensor_t client_input, |
| const int32_t client_min_int, |
| const int32_t client_max_int, |
| const float client_min_fp, |
| const float client_max_fp, |
| tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_sigmoid(tosa_tensor_t client_input, tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_tanh(tosa_tensor_t client_input, tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_add(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_arithmetic_right_shift(tosa_tensor_t client_input1, |
| tosa_tensor_t client_input2, |
| const bool client_round, |
| tosa_tensor_t client_output); |
| |
| tosa_status_t |
| tosa_run_bitwise_and(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| |
| tosa_status_t |
| tosa_run_bitwise_or(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| |
| tosa_status_t |
| tosa_run_bitwise_xor(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| |
| tosa_status_t |
| tosa_run_intdiv(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| |
| tosa_status_t |
| tosa_run_logical_and(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_logical_left_shift(tosa_tensor_t client_input1, |
| tosa_tensor_t client_input2, |
| tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_logical_right_shift(tosa_tensor_t client_input1, |
| tosa_tensor_t client_input2, |
| tosa_tensor_t client_output); |
| |
| tosa_status_t |
| tosa_run_logical_or(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| |
| tosa_status_t |
| tosa_run_logical_xor(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| |
| tosa_status_t |
| tosa_run_maximum(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| |
| tosa_status_t |
| tosa_run_minimum(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_mul(tosa_tensor_t client_input1, |
| tosa_tensor_t client_input2, |
| const uint8_t client_shift, |
| tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_pow(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_sub(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_table(tosa_tensor_t client_input, |
| const int32_t client_table_len, |
| const int16_t client_table[], |
| tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_abs(tosa_tensor_t client_input1, tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_bitwise_not(tosa_tensor_t client_input1, tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_ceil(tosa_tensor_t client_input1, tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_clz(tosa_tensor_t client_input1, tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_exp(tosa_tensor_t client_input1, tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_floor(tosa_tensor_t client_input1, tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_log(tosa_tensor_t client_input1, tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_logical_not(tosa_tensor_t client_input1, tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_negate(tosa_tensor_t client_input1, |
| const int32_t client_input1_zp, |
| const int32_t client_output_zp, |
| tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_reciprocal(tosa_tensor_t client_input1, tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_rsqrt(tosa_tensor_t client_input1, tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_select(tosa_tensor_t client_input1, |
| tosa_tensor_t client_input2, |
| tosa_tensor_t client_input3, |
| tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_equal(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| |
| tosa_status_t |
| tosa_run_greater(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| |
| tosa_status_t |
| tosa_run_greater_equal(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| |
| tosa_status_t |
| tosa_run_reduce_all(tosa_tensor_t client_input, const int32_t client_axis, tosa_tensor_t client_output); |
| |
| tosa_status_t |
| tosa_run_reduce_any(tosa_tensor_t client_input, const int32_t client_axis, tosa_tensor_t client_output); |
| |
| tosa_status_t |
| tosa_run_reduce_max(tosa_tensor_t client_input, const int32_t client_axis, tosa_tensor_t client_output); |
| |
| tosa_status_t |
| tosa_run_reduce_min(tosa_tensor_t client_input, const int32_t client_axis, tosa_tensor_t client_output); |
| |
| tosa_status_t |
| tosa_run_reduce_product(tosa_tensor_t client_input, const int32_t client_axis, tosa_tensor_t client_output); |
| |
| tosa_status_t |
| tosa_run_reduce_sum(tosa_tensor_t client_input, const int32_t client_axis, tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_concat(tosa_tensor_t client_input1, const int32_t client_axis, tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_pad(tosa_tensor_t client_input1, |
| const int32_t client_padding_len, |
| const int32_t client_padding[], |
| const int32_t client_pad_const_int, |
| const float client_pad_const_fp, |
| tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_reshape(tosa_tensor_t client_input1, |
| const int32_t client_new_shape_len, |
| const int32_t client_new_shape[], |
| tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_reverse(tosa_tensor_t client_input, const int32_t client_axis, tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_slice(tosa_tensor_t client_input1, |
| const int32_t client_start_len, |
| const int32_t client_start[], |
| const int32_t client_size_len, |
| const int32_t client_size[], |
| tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_tile(tosa_tensor_t client_input1, |
| const int32_t client_multiplies_len, |
| const int32_t client_multiplies[], |
| const int32_t client_multiples_len, |
| const int32_t client_multiples[], |
| tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_transpose(tosa_tensor_t client_input1, |
| const int32_t client_perms_len, |
| const int32_t client_perms[], |
| tosa_tensor_t client_output); |
| |
| tosa_status_t |
| tosa_run_gather(tosa_tensor_t client_values, tosa_tensor_t client_indices, tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_scatter(tosa_tensor_t client_values_in, |
| tosa_tensor_t client_indices, |
| tosa_tensor_t client_input, |
| tosa_tensor_t client_values_out); |
| |
| tosa_status_t tosa_run_resize(tosa_tensor_t client_input, |
| const int16_t client_scale[4], |
| const int16_t client_offset[2], |
| const int16_t client_border[2], |
| const tosa_mode_t client_mode, |
| tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_cast(tosa_tensor_t client_input, tosa_tensor_t client_output); |
| |
| tosa_status_t tosa_run_rescale(tosa_tensor_t client_input, |
| tosa_tensor_t client_output, |
| const int32_t client_input_zp, |
| const int32_t client_output_zp, |
| const int32_t client_multiplier_len, |
| const int32_t client_multiplier[], |
| const int32_t client_shift_len, |
| const uint8_t client_shift[], |
| const bool client_scale32, |
| const bool client_double_round, |
| const bool client_per_channel); |
| |
| tosa_status_t tosa_run_identity(tosa_tensor_t client_input1, tosa_tensor_t client_output); |
| |
| #ifdef __cplusplus |
| } |
| #endif /* __cplusplus */ |
| |
| #endif // OPERATORS_H_ |