| |
| // 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<std::underlying_type_t<GraphStatus>>(status); \ |
| return static_cast<tosa_status_t>(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<int32_t> 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<int32_t> pad(&client_pad[0], &client_pad[4]); |
| const std::vector<int32_t> kernel(&client_kernel[0], &client_kernel[2]); |
| const std::vector<int32_t> 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<int32_t> pad(&client_pad[0], &client_pad[4]); |
| const std::vector<int32_t> stride(&client_stride[0], &client_stride[2]); |
| const std::vector<int32_t> 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<int32_t> pad(&client_pad[0], &client_pad[6]); |
| const std::vector<int32_t> stride(&client_stride[0], &client_stride[3]); |
| const std::vector<int32_t> 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<int32_t> pad(&client_pad[0], &client_pad[4]); |
| const std::vector<int32_t> stride(&client_stride[0], &client_stride[2]); |
| const std::vector<int32_t> 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<int32_t> pad(&client_pad[0], &client_pad[4]); |
| const std::vector<int32_t> kernel(&client_kernel[0], &client_kernel[2]); |
| const std::vector<int32_t> 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<int32_t> pad(&client_pad[0], &client_pad[0] + client_pad_len); |
| const std::vector<int32_t> stride(&client_stride[0], &client_stride[2]); |
| const std::vector<int32_t> 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<int16_t> 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<int32_t> 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<int32_t> 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<int32_t> start(&client_start[0], &client_start[0] + client_start_len); |
| const std::vector<int32_t> 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<int32_t> 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<int32_t> 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<int16_t> scale(&client_scale[0], &client_scale[4]); |
| const std::vector<int16_t> offset(&client_offset[0], &client_offset[2]); |
| const std::vector<int16_t> 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<int32_t> multiplier(&client_multiplier[0], &client_multiplier[0] + client_multiplier_len); |
| const std::vector<int32_t> 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" |