// Copyright (c) 2022-2023, 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 #include "operators.h" #include "model_runner_impl.h" #include "ops/op_factory.h" #define TOSA_RETURN_ON_ERROR(status) \ do \ { \ if (status != 0) \ { \ return tosa_status_error; \ } \ } while (false) #define TOSA_RETURN_ON_GRAPH_STATUS_ERROR(status) \ do \ { \ if (status != GraphStatus::TOSA_VALID) \ { \ auto ustatus = static_cast>(status); \ return static_cast(ustatus); \ } \ } while (false) namespace { tosa::DType translate_client_datatype(tosa_datatype_t type) { switch (type) { case tosa_datatype_fp16_t: return tosa::DType::DType_FP16; case tosa_datatype_fp32_t: return tosa::DType::DType_FP32; default: return tosa::DType::DType_UNKNOWN; } }; tosa::TosaSerializationTensor* translate_client_tensor(tosa_tensor_t& tensor, const std::string& name) { std::vector shape(tensor.shape, tensor.shape + tensor.num_dims); return new tosa::TosaSerializationTensor(name, shape, translate_client_datatype(tensor.data_type), {}); } tosa::ResizeMode translate_client_tosa_mode(tosa_mode_t mode) { switch (mode) { case tosa_mode_nearest: return tosa::ResizeMode_NEAREST; case tosa_mode_max: case tosa_mode_bilinear: return tosa::ResizeMode_BILINEAR; default: return tosa::ResizeMode_UNKNOWN; } } } // namespace extern "C" { tosa_status_t tosa_run_argmax(tosa_tensor_t client_input, const int32_t client_axis, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input = translate_client_tensor(client_input, "input"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_ARGMAX, tosa::Attribute::Attribute_NONE, &attr, { input->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("argmax", "main", { op }, { input, output }, { input->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input->GetName(), client_input.data, client_input.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } 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) { // Create operator attributes const std::vector pad(&client_pad[0], &client_pad[4]); const std::vector kernel(&client_kernel[0], &client_kernel[2]); const std::vector stride(&client_stride[0], &client_stride[2]); const int32_t input_zp = client_input_zp; const int32_t output_zp = client_output_zp; const tosa::DType accum_dtype = tosa::DType::DType_FP32; TosaPoolAttribute attr(pad, kernel, stride, input_zp, output_zp, accum_dtype); // Create tensors tosa::TosaSerializationTensor* input = translate_client_tensor(client_input, "input"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_AVG_POOL2D, tosa::Attribute::Attribute_PoolAttribute, &attr, { input->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("avg_pool2d", "main", { op }, { input, output }, { input->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input->GetName(), client_input.data, client_input.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } 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) { // Create operator attributes const std::vector pad(&client_pad[0], &client_pad[4]); const std::vector stride(&client_stride[0], &client_stride[2]); const std::vector dilation(&client_dilation[0], &client_dilation[2]); const int32_t input_zp = client_input_zp; const int32_t weight_zp = client_weight_zp; TosaConvAttribute attr(pad, stride, dilation, input_zp, weight_zp); // Create tensors tosa::TosaSerializationTensor* input = translate_client_tensor(client_input, "input"); tosa::TosaSerializationTensor* weight = translate_client_tensor(client_weight, "weight"); tosa::TosaSerializationTensor* bias = translate_client_tensor(client_bias, "bias"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_CONV2D, tosa::Attribute::Attribute_ConvAttribute, &attr, { input->GetName(), weight->GetName(), bias->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("conv2d", "main", { op }, { input, weight, bias, output }, { input->GetName(), weight->GetName(), bias->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input->GetName(), client_input.data, client_input.size)); TOSA_RETURN_ON_ERROR(runner.setInput(weight->GetName(), client_weight.data, client_weight.size)); TOSA_RETURN_ON_ERROR(runner.setInput(bias->GetName(), client_bias.data, client_bias.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } 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) { // Create operator attributes const std::vector pad(&client_pad[0], &client_pad[6]); const std::vector stride(&client_stride[0], &client_stride[3]); const std::vector dilation(&client_dilation[0], &client_dilation[3]); const int32_t input_zp = client_input_zp; const int32_t weight_zp = client_weight_zp; TosaConvAttribute attr(pad, stride, dilation, input_zp, weight_zp); // Create tensors tosa::TosaSerializationTensor* input = translate_client_tensor(client_input, "input"); tosa::TosaSerializationTensor* weight = translate_client_tensor(client_weight, "weight"); tosa::TosaSerializationTensor* bias = translate_client_tensor(client_bias, "bias"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_CONV3D, tosa::Attribute::Attribute_ConvAttribute, &attr, { input->GetName(), weight->GetName(), bias->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("conv3d", "main", { op }, { input, weight, bias, output }, { input->GetName(), weight->GetName(), bias->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input->GetName(), client_input.data, client_input.size)); TOSA_RETURN_ON_ERROR(runner.setInput(weight->GetName(), client_weight.data, client_weight.size)); TOSA_RETURN_ON_ERROR(runner.setInput(bias->GetName(), client_bias.data, client_bias.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } 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) { // Create operator attributes const std::vector pad(&client_pad[0], &client_pad[4]); const std::vector stride(&client_stride[0], &client_stride[2]); const std::vector dilation(&client_dilation[0], &client_dilation[2]); const int32_t input_zp = client_input_zp; const int32_t weight_zp = client_weight_zp; TosaConvAttribute attr(pad, stride, dilation, input_zp, weight_zp); // Create tensors tosa::TosaSerializationTensor* input = translate_client_tensor(client_input, "input"); tosa::TosaSerializationTensor* weight = translate_client_tensor(client_weight, "weight"); tosa::TosaSerializationTensor* bias = translate_client_tensor(client_bias, "bias"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator( tosa::Op::Op_DEPTHWISE_CONV2D, tosa::Attribute::Attribute_ConvAttribute, &attr, { input->GetName(), weight->GetName(), bias->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("depthwise_conv2d", "main", { op }, { input, weight, bias, output }, { input->GetName(), weight->GetName(), bias->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input->GetName(), client_input.data, client_input.size)); TOSA_RETURN_ON_ERROR(runner.setInput(weight->GetName(), client_weight.data, client_weight.size)); TOSA_RETURN_ON_ERROR(runner.setInput(bias->GetName(), client_bias.data, client_bias.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } 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) { // Create operator attributes const int32_t input_zp = client_input_zp; const int32_t weight_zp = client_weight_zp; TosaFullyConnectedAttribute attr(input_zp, weight_zp); // Create tensors tosa::TosaSerializationTensor* input = translate_client_tensor(client_input, "input"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_FULLY_CONNECTED, tosa::Attribute::Attribute_FullyConnectedAttribute, &attr, { input->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("fully_connected", "main", { op }, { input, output }, { input->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input->GetName(), client_input.data, client_input.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } 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) { // Create operator attributes const int32_t a_zp = client_a_zp; const int32_t b_zp = client_b_zp; TosaMatMulAttribute attr(a_zp, b_zp); // Create tensors tosa::TosaSerializationTensor* a = translate_client_tensor(client_a, "a"); tosa::TosaSerializationTensor* b = translate_client_tensor(client_b, "b"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_MATMUL, tosa::Attribute::Attribute_MatMulAttribute, &attr, { a->GetName(), b->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("matmul", "main", { op }, { a, b, output }, { a->GetName(), b->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(a->GetName(), client_a.data, client_a.size)); TOSA_RETURN_ON_ERROR(runner.setInput(b->GetName(), client_b.data, client_b.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } 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) { // Create operator attributes const std::vector pad(&client_pad[0], &client_pad[4]); const std::vector kernel(&client_kernel[0], &client_kernel[2]); const std::vector stride(&client_stride[0], &client_stride[2]); const int32_t input_zp = client_input_zp; const int32_t output_zp = client_output_zp; const tosa::DType accum_dtype = tosa::DType::DType_FP32; TosaPoolAttribute attr(pad, kernel, stride, input_zp, output_zp, accum_dtype); // Create tensors tosa::TosaSerializationTensor* input = translate_client_tensor(client_input, "input"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_MAX_POOL2D, tosa::Attribute::Attribute_PoolAttribute, &attr, { input->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("max_pool2d", "main", { op }, { input, output }, { input->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input->GetName(), client_input.data, client_input.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } 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) { // Create operator attributes const std::vector pad(&client_pad[0], &client_pad[0] + client_pad_len); const std::vector stride(&client_stride[0], &client_stride[2]); const std::vector dilation(&client_dilation[0], &client_dilation[0] + client_dilation_len); const int32_t input_zp = client_input_zp; const int32_t weight_zp = client_weight_zp; TosaConvAttribute attr(pad, stride, dilation, input_zp, weight_zp); // Create tensors tosa::TosaSerializationTensor* input = translate_client_tensor(client_input, "input"); tosa::TosaSerializationTensor* weight = translate_client_tensor(client_weight, "weight"); tosa::TosaSerializationTensor* bias = translate_client_tensor(client_bias, "bias"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator( tosa::Op::Op_TRANSPOSE_CONV2D, tosa::Attribute::Attribute_ConvAttribute, &attr, { input->GetName(), weight->GetName(), bias->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("transpose_conv2d", "main", { op }, { input, weight, bias, output }, { input->GetName(), weight->GetName(), bias->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input->GetName(), client_input.data, client_input.size)); TOSA_RETURN_ON_ERROR(runner.setInput(weight->GetName(), client_weight.data, client_weight.size)); TOSA_RETURN_ON_ERROR(runner.setInput(bias->GetName(), client_bias.data, client_bias.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } 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) { // Create operator attributes const int32_t min_int = client_min_int; const int32_t max_int = client_max_int; const float min_fp = client_min_fp; const float max_fp = client_max_fp; TosaClampAttribute attr(min_int, max_int, min_fp, max_fp); // Create tensors tosa::TosaSerializationTensor* input = translate_client_tensor(client_input, "input"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_CLAMP, tosa::Attribute::Attribute_ClampAttribute, &attr, { input->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("clamp", "main", { op }, { input, output }, { input->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input->GetName(), client_input.data, client_input.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_sigmoid(tosa_tensor_t client_input, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input = translate_client_tensor(client_input, "input"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_SIGMOID, tosa::Attribute::Attribute_NONE, &attr, { input->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("sigmoid", "main", { op }, { input, output }, { input->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input->GetName(), client_input.data, client_input.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_tanh(tosa_tensor_t client_input, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input = translate_client_tensor(client_input, "input"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_TANH, tosa::Attribute::Attribute_NONE, &attr, { input->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("tanh", "main", { op }, { input, output }, { input->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input->GetName(), client_input.data, client_input.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_add(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* input2 = translate_client_tensor(client_input2, "input2"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_ADD, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("add", "main", { op }, { input1, input2, output }, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); TOSA_RETURN_ON_ERROR(runner.setInput(input2->GetName(), client_input2.data, client_input2.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } 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) { // Create operator attributes const bool round = client_round; TosaArithmeticRightShiftAttribute attr(round); // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* input2 = translate_client_tensor(client_input2, "input2"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_ARITHMETIC_RIGHT_SHIFT, tosa::Attribute::Attribute_ArithmeticRightShiftAttribute, &attr, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("arithmetic_right_shift", "main", { op }, { input1, input2, output }, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); TOSA_RETURN_ON_ERROR(runner.setInput(input2->GetName(), client_input2.data, client_input2.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_bitwise_and(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* input2 = translate_client_tensor(client_input2, "input2"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_BITWISE_AND, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("bitwise_and", "main", { op }, { input1, input2, output }, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); TOSA_RETURN_ON_ERROR(runner.setInput(input2->GetName(), client_input2.data, client_input2.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_bitwise_or(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* input2 = translate_client_tensor(client_input2, "input2"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_BITWISE_OR, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("bitwise_or", "main", { op }, { input1, input2, output }, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); TOSA_RETURN_ON_ERROR(runner.setInput(input2->GetName(), client_input2.data, client_input2.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_bitwise_xor(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* input2 = translate_client_tensor(client_input2, "input2"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_BITWISE_XOR, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("bitwise_xor", "main", { op }, { input1, input2, output }, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); TOSA_RETURN_ON_ERROR(runner.setInput(input2->GetName(), client_input2.data, client_input2.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_intdiv(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* input2 = translate_client_tensor(client_input2, "input2"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_INTDIV, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("intdiv", "main", { op }, { input1, input2, output }, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); TOSA_RETURN_ON_ERROR(runner.setInput(input2->GetName(), client_input2.data, client_input2.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_logical_and(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* input2 = translate_client_tensor(client_input2, "input2"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_LOGICAL_AND, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("logical_and", "main", { op }, { input1, input2, output }, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); TOSA_RETURN_ON_ERROR(runner.setInput(input2->GetName(), client_input2.data, client_input2.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_logical_left_shift(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* input2 = translate_client_tensor(client_input2, "input2"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_LOGICAL_LEFT_SHIFT, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("logical_left_shift", "main", { op }, { input1, input2, output }, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); TOSA_RETURN_ON_ERROR(runner.setInput(input2->GetName(), client_input2.data, client_input2.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_logical_right_shift(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* input2 = translate_client_tensor(client_input2, "input2"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_LOGICAL_RIGHT_SHIFT, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("logical_right_shift", "main", { op }, { input1, input2, output }, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); TOSA_RETURN_ON_ERROR(runner.setInput(input2->GetName(), client_input2.data, client_input2.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_logical_or(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* input2 = translate_client_tensor(client_input2, "input2"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_LOGICAL_OR, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("logical_or", "main", { op }, { input1, input2, output }, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); TOSA_RETURN_ON_ERROR(runner.setInput(input2->GetName(), client_input2.data, client_input2.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_logical_xor(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* input2 = translate_client_tensor(client_input2, "input2"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_LOGICAL_XOR, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("logical_xor", "main", { op }, { input1, input2, output }, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); TOSA_RETURN_ON_ERROR(runner.setInput(input2->GetName(), client_input2.data, client_input2.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_maximum(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* input2 = translate_client_tensor(client_input2, "input2"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_MAXIMUM, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("maximum", "main", { op }, { input1, input2, output }, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); TOSA_RETURN_ON_ERROR(runner.setInput(input2->GetName(), client_input2.data, client_input2.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_minimum(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* input2 = translate_client_tensor(client_input2, "input2"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_MINIMUM, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("minimum", "main", { op }, { input1, input2, output }, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); TOSA_RETURN_ON_ERROR(runner.setInput(input2->GetName(), client_input2.data, client_input2.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } 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) { // Create operator attributes const int32_t shift = client_shift; TosaMulAttribute attr(shift); // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* input2 = translate_client_tensor(client_input2, "input2"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_MUL, tosa::Attribute::Attribute_MulAttribute, &attr, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("mul", "main", { op }, { input1, input2, output }, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); TOSA_RETURN_ON_ERROR(runner.setInput(input2->GetName(), client_input2.data, client_input2.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_pow(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* input2 = translate_client_tensor(client_input2, "input2"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_POW, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("pow", "main", { op }, { input1, input2, output }, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); TOSA_RETURN_ON_ERROR(runner.setInput(input2->GetName(), client_input2.data, client_input2.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_sub(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* input2 = translate_client_tensor(client_input2, "input2"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_SUB, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("sub", "main", { op }, { input1, input2, output }, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); TOSA_RETURN_ON_ERROR(runner.setInput(input2->GetName(), client_input2.data, client_input2.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } 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) { // Create operator attributes const std::vector table(&client_table[0], &client_table[0] + client_table_len); TosaTableAttribute attr(table); // Create tensors tosa::TosaSerializationTensor* input = translate_client_tensor(client_input, "input"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_TABLE, tosa::Attribute::Attribute_TableAttribute, &attr, { input->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("table", "main", { op }, { input, output }, { input->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input->GetName(), client_input.data, client_input.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_abs(tosa_tensor_t client_input1, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_ABS, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("abs", "main", { op }, { input1, output }, { input1->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_bitwise_not(tosa_tensor_t client_input1, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_BITWISE_NOT, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("bitwise_not", "main", { op }, { input1, output }, { input1->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_ceil(tosa_tensor_t client_input1, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_CEIL, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("ceil", "main", { op }, { input1, output }, { input1->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_clz(tosa_tensor_t client_input1, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_CLZ, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("clz", "main", { op }, { input1, output }, { input1->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_exp(tosa_tensor_t client_input1, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_EXP, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("exp", "main", { op }, { input1, output }, { input1->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_floor(tosa_tensor_t client_input1, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_FLOOR, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("floor", "main", { op }, { input1, output }, { input1->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_log(tosa_tensor_t client_input1, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_LOG, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("log", "main", { op }, { input1, output }, { input1->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_logical_not(tosa_tensor_t client_input1, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_LOGICAL_NOT, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("logical_not", "main", { op }, { input1, output }, { input1->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } 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) { // Create operator attributes const int32_t input1_zp = client_input1_zp; const int32_t output_zp = client_output_zp; TosaNegateAttribute attr(input1_zp, output_zp); // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_NEGATE, tosa::Attribute::Attribute_NegateAttribute, &attr, { input1->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("negate", "main", { op }, { input1, output }, { input1->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_reciprocal(tosa_tensor_t client_input1, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_RECIPROCAL, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("reciprocal", "main", { op }, { input1, output }, { input1->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_rsqrt(tosa_tensor_t client_input1, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_RSQRT, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("rsqrt", "main", { op }, { input1, output }, { input1->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } 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) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* input2 = translate_client_tensor(client_input2, "input2"); tosa::TosaSerializationTensor* input3 = translate_client_tensor(client_input3, "input3"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_SELECT, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName(), input2->GetName(), input3->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("select", "main", { op }, { input1, input2, input3, output }, { input1->GetName(), input2->GetName(), input3->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); TOSA_RETURN_ON_ERROR(runner.setInput(input2->GetName(), client_input2.data, client_input2.size)); TOSA_RETURN_ON_ERROR(runner.setInput(input3->GetName(), client_input3.data, client_input3.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_equal(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* input2 = translate_client_tensor(client_input2, "input2"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_EQUAL, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("equal", "main", { op }, { input1, input2, output }, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); TOSA_RETURN_ON_ERROR(runner.setInput(input2->GetName(), client_input2.data, client_input2.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_greater(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* input2 = translate_client_tensor(client_input2, "input2"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_GREATER, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("greater", "main", { op }, { input1, input2, output }, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); TOSA_RETURN_ON_ERROR(runner.setInput(input2->GetName(), client_input2.data, client_input2.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_greater_equal(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* input2 = translate_client_tensor(client_input2, "input2"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_GREATER_EQUAL, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("greater_equal", "main", { op }, { input1, input2, output }, { input1->GetName(), input2->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); TOSA_RETURN_ON_ERROR(runner.setInput(input2->GetName(), client_input2.data, client_input2.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_reduce_all(tosa_tensor_t client_input, const int32_t client_axis, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input = translate_client_tensor(client_input, "input"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_REDUCE_ALL, tosa::Attribute::Attribute_NONE, &attr, { input->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("reduce_all", "main", { op }, { input, output }, { input->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input->GetName(), client_input.data, client_input.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_reduce_any(tosa_tensor_t client_input, const int32_t client_axis, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input = translate_client_tensor(client_input, "input"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_REDUCE_ANY, tosa::Attribute::Attribute_NONE, &attr, { input->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("reduce_any", "main", { op }, { input, output }, { input->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input->GetName(), client_input.data, client_input.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_reduce_max(tosa_tensor_t client_input, const int32_t client_axis, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input = translate_client_tensor(client_input, "input"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_REDUCE_MAX, tosa::Attribute::Attribute_NONE, &attr, { input->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("reduce_max", "main", { op }, { input, output }, { input->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input->GetName(), client_input.data, client_input.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_reduce_min(tosa_tensor_t client_input, const int32_t client_axis, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input = translate_client_tensor(client_input, "input"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_REDUCE_MIN, tosa::Attribute::Attribute_NONE, &attr, { input->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("reduce_min", "main", { op }, { input, output }, { input->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input->GetName(), client_input.data, client_input.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_reduce_product(tosa_tensor_t client_input, const int32_t client_axis, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input = translate_client_tensor(client_input, "input"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_REDUCE_PRODUCT, tosa::Attribute::Attribute_NONE, &attr, { input->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("reduce_product", "main", { op }, { input, output }, { input->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input->GetName(), client_input.data, client_input.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_reduce_sum(tosa_tensor_t client_input, const int32_t client_axis, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input = translate_client_tensor(client_input, "input"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_REDUCE_SUM, tosa::Attribute::Attribute_NONE, &attr, { input->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("reduce_sum", "main", { op }, { input, output }, { input->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input->GetName(), client_input.data, client_input.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_concat(tosa_tensor_t client_input1, const int32_t client_axis, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_CONCAT, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("concat", "main", { op }, { input1, output }, { input1->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } 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) { // Create operator attributes const std::vector padding(&client_padding[0], &client_padding[0] + client_padding_len); const int32_t pad_const_int = client_pad_const_int; const float pad_const_fp = client_pad_const_fp; TosaPadAttribute attr(padding, pad_const_int, pad_const_fp); // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_PAD, tosa::Attribute::Attribute_PadAttribute, &attr, { input1->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("pad", "main", { op }, { input1, output }, { input1->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } 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) { // Create operator attributes const std::vector new_shape(&client_new_shape[0], &client_new_shape[0] + client_new_shape_len); TosaReshapeAttribute attr(new_shape); // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_RESHAPE, tosa::Attribute::Attribute_ReshapeAttribute, &attr, { input1->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("reshape", "main", { op }, { input1, output }, { input1->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_reverse(tosa_tensor_t client_input, const int32_t client_axis, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input = translate_client_tensor(client_input, "input"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_REVERSE, tosa::Attribute::Attribute_NONE, &attr, { input->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("reverse", "main", { op }, { input, output }, { input->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input->GetName(), client_input.data, client_input.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } 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) { // Create operator attributes const std::vector start(&client_start[0], &client_start[0] + client_start_len); const std::vector size(&client_size[0], &client_size[0] + client_size_len); TosaSliceAttribute attr(start, size); // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_SLICE, tosa::Attribute::Attribute_SliceAttribute, &attr, { input1->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("slice", "main", { op }, { input1, output }, { input1->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } 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) { // Create operator attributes const std::vector multiples(&client_multiples[0], &client_multiples[0] + client_multiples_len); TosaTileAttribute attr(multiples); // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_TILE, tosa::Attribute::Attribute_TileAttribute, &attr, { input1->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("tile", "main", { op }, { input1, output }, { input1->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } 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) { // Create operator attributes const std::vector perms(&client_perms[0], &client_perms[0] + client_perms_len); TosaTransposeAttribute attr(perms); // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_TRANSPOSE, tosa::Attribute::Attribute_TransposeAttribute, &attr, { input1->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("transpose", "main", { op }, { input1, output }, { input1->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_gather(tosa_tensor_t client_values, tosa_tensor_t client_indices, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* values = translate_client_tensor(client_values, "values"); tosa::TosaSerializationTensor* indices = translate_client_tensor(client_indices, "indices"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_GATHER, tosa::Attribute::Attribute_NONE, &attr, { values->GetName(), indices->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("gather", "main", { op }, { values, indices, output }, { values->GetName(), indices->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(values->GetName(), client_values.data, client_values.size)); TOSA_RETURN_ON_ERROR(runner.setInput(indices->GetName(), client_indices.data, client_indices.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } 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) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* values_in = translate_client_tensor(client_values_in, "values_in"); tosa::TosaSerializationTensor* indices = translate_client_tensor(client_indices, "indices"); tosa::TosaSerializationTensor* input = translate_client_tensor(client_input, "input"); tosa::TosaSerializationTensor* values_out = translate_client_tensor(client_values_out, "values_out"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_SCATTER, tosa::Attribute::Attribute_NONE, &attr, { values_in->GetName(), indices->GetName(), input->GetName() }, { values_out->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("scatter", "main", { op }, { values_in, indices, input, values_out }, { values_in->GetName(), indices->GetName(), input->GetName() }, { values_out->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(values_in->GetName(), client_values_in.data, client_values_in.size)); TOSA_RETURN_ON_ERROR(runner.setInput(indices->GetName(), client_indices.data, client_indices.size)); TOSA_RETURN_ON_ERROR(runner.setInput(input->GetName(), client_input.data, client_input.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(values_out->GetName(), client_values_out.data, client_values_out.size)); return tosa_status_valid; } 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) { // Create operator attributes const std::vector scale(&client_scale[0], &client_scale[4]); const std::vector offset(&client_offset[0], &client_offset[2]); const std::vector border(&client_border[0], &client_border[2]); const ResizeMode mode = translate_client_tosa_mode(client_mode); TosaResizeAttribute attr(scale, offset, border, mode); // Create tensors tosa::TosaSerializationTensor* input = translate_client_tensor(client_input, "input"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_RESIZE, tosa::Attribute::Attribute_ResizeAttribute, &attr, { input->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("resize", "main", { op }, { input, output }, { input->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input->GetName(), client_input.data, client_input.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_cast(tosa_tensor_t client_input, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input = translate_client_tensor(client_input, "input"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_CAST, tosa::Attribute::Attribute_NONE, &attr, { input->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("cast", "main", { op }, { input, output }, { input->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input->GetName(), client_input.data, client_input.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } 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) { // Create operator attributes const int32_t input_zp = client_input_zp; const int32_t output_zp = client_output_zp; const std::vector multiplier(&client_multiplier[0], &client_multiplier[0] + client_multiplier_len); const std::vector shift(&client_shift[0], &client_shift[0] + client_shift_len); const bool scale32 = client_scale32; const bool double_round = client_double_round; const bool per_channel = client_per_channel; TosaRescaleAttribute attr(input_zp, output_zp, multiplier, shift, scale32, double_round, per_channel); // Create tensors tosa::TosaSerializationTensor* input = translate_client_tensor(client_input, "input"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_RESCALE, tosa::Attribute::Attribute_RescaleAttribute, &attr, { input->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("rescale", "main", { op }, { input, output }, { input->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input->GetName(), client_input.data, client_input.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } tosa_status_t tosa_run_identity(tosa_tensor_t client_input1, tosa_tensor_t client_output) { // Create operator attributes TosaNoneAttribute attr; // Create tensors tosa::TosaSerializationTensor* input1 = translate_client_tensor(client_input1, "input1"); tosa::TosaSerializationTensor* output = translate_client_tensor(client_output, "output"); // Create operator auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_IDENTITY, tosa::Attribute::Attribute_NONE, &attr, { input1->GetName() }, { output->GetName() }); // Create a tosa single-op basic block tosa::TosaSerializationBasicBlock block("identity", "main", { op }, { input1, output }, { input1->GetName() }, { output->GetName() }); // Setup model TosaReference::ModelRunnerImpl runner; TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block)); TOSA_RETURN_ON_ERROR(runner.setInput(input1->GetName(), client_input1.data, client_input1.size)); // Execute TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run()); // Extract outputs TOSA_RETURN_ON_ERROR(runner.getOutput(output->GetName(), client_output.data, client_output.size)); return tosa_status_valid; } } // extern "C"