diff options
Diffstat (limited to 'reference_model/test/model_runner_tests.cpp')
| -rw-r--r-- | reference_model/test/model_runner_tests.cpp | 74 |
1 files changed, 61 insertions, 13 deletions
diff --git a/reference_model/test/model_runner_tests.cpp b/reference_model/test/model_runner_tests.cpp index 0b73494..820ed63 100644 --- a/reference_model/test/model_runner_tests.cpp +++ b/reference_model/test/model_runner_tests.cpp @@ -75,7 +75,7 @@ TEST_SUITE("model_runner") output.size = dstData.size() * sizeof(float); // Execution - auto status = tosa_run_add(input1, input2, output); + auto status = tosa_run_add(input1, input2, output, {}); CHECK((status == tosa_status_valid)); // Compare results @@ -112,7 +112,7 @@ TEST_SUITE("model_runner") output.size = dstData.size() * sizeof(float); // Execution - auto status = tosa_run_avg_pool2d(input, kernel, stride, pad, 0, 0, output); + auto status = tosa_run_avg_pool2d(input, kernel, stride, pad, 0, 0, output, {}); CHECK((status == tosa_status_valid)); // Compare results @@ -170,7 +170,7 @@ TEST_SUITE("model_runner") const int32_t weight_zp = 0; // Execution - auto status = tosa_run_conv2d(input, weight, bias, pad, stride, dilation, input_zp, weight_zp, output); + auto status = tosa_run_conv2d(input, weight, bias, pad, stride, dilation, input_zp, weight_zp, output, {}); CHECK((status == tosa_status_valid)); // Compare results @@ -228,10 +228,10 @@ TEST_SUITE("model_runner") const int32_t weight_zp = 0; // Execution - func_config_t func_config; - func_config.abs_mode = true; + func_ctx_t func_ctx; + func_ctx.func_config.abs_mode = true; auto status = - tosa_run_conv2d(input, weight, bias, pad, stride, dilation, input_zp, weight_zp, output, func_config); + tosa_run_conv2d(input, weight, bias, pad, stride, dilation, input_zp, weight_zp, output, func_ctx); CHECK((status == tosa_status_valid)); // Compare results @@ -269,7 +269,7 @@ TEST_SUITE("model_runner") output.size = dstData.size() * sizeof(float); // Execution - auto status = tosa_run_max_pool2d(input, kernel, stride, pad, 0, 0, output); + auto status = tosa_run_max_pool2d(input, kernel, stride, pad, 0, 0, output, {}); CHECK((status == tosa_status_valid)); // Compare results @@ -280,10 +280,12 @@ TEST_SUITE("model_runner") TEST_CASE("op_entry_pad") { // Inputs/Outputs - tosa_datatype_t dt = tosa_datatype_fp32_t; - std::vector<int32_t> input_shape = { 2, 2 }; - std::vector<int32_t> output_shape = { 4, 4 }; + tosa_datatype_t dt = tosa_datatype_fp32_t; + std::vector<int32_t> input_shape = { 2, 2 }; + std::vector<int32_t> padding_shape = { 1, 4 }; + std::vector<int32_t> output_shape = { 4, 4 }; std::vector<float> srcData1(4, 4.0f); + std::vector<int32_t> padData(4, 1); std::vector<float> dstData(16, 0.0f); tosa_tensor_t input1; @@ -293,6 +295,13 @@ TEST_SUITE("model_runner") input1.data = reinterpret_cast<uint8_t*>(srcData1.data()); input1.size = srcData1.size() * sizeof(float); + tosa_tensor_t padding; + padding.shape = padding_shape.data(); + padding.num_dims = padding_shape.size(); + padding.data_type = tosa_datatype_int32_t; + padding.data = reinterpret_cast<uint8_t*>(padData.data()); + padding.size = padData.size() * sizeof(int32_t); + tosa_tensor_t output; output.shape = output_shape.data(); output.num_dims = output_shape.size(); @@ -301,11 +310,9 @@ TEST_SUITE("model_runner") output.size = dstData.size() * sizeof(float); // Execution - int32_t padding[4] = { 1, 1, 1, 1 }; - int32_t padding_len = 4; int32_t pad_const_int = 0; float pad_const_fp = 5.0f; - auto status = tosa_run_pad(input1, padding_len, padding, pad_const_int, pad_const_fp, output); + auto status = tosa_run_pad(input1, padding, pad_const_int, pad_const_fp, output, func_ctx_t{}); CHECK((status == tosa_status_valid)); // Compare results @@ -318,6 +325,47 @@ TEST_SUITE("model_runner") compareOutput(dstData, expectedData, expectedData.size()); } + TEST_CASE("op_entry_tile") + { + // Inputs/Outputs + tosa_datatype_t dt = tosa_datatype_fp32_t; + std::vector<int32_t> input_shape = { 2, 3 }; + std::vector<int32_t> multiples_shape = { 1, 2 }; + std::vector<int32_t> output_shape = { 2, 6 }; + std::vector<float> srcData1 = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 }; + std::vector<int32_t> multiples_data = { 1, 2 }; + std::vector<float> dstData(12, 0.0f); + + tosa_tensor_t input1; + input1.shape = input_shape.data(); + input1.num_dims = input_shape.size(); + input1.data_type = dt; + input1.data = reinterpret_cast<uint8_t*>(srcData1.data()); + input1.size = srcData1.size() * sizeof(float); + + tosa_tensor_t multiples; + multiples.shape = multiples_shape.data(); + multiples.num_dims = multiples_shape.size(); + multiples.data_type = tosa_datatype_int32_t; + multiples.data = reinterpret_cast<uint8_t*>(multiples_data.data()); + multiples.size = multiples_data.size() * sizeof(int32_t); + + tosa_tensor_t output; + output.shape = output_shape.data(); + output.num_dims = output_shape.size(); + output.data_type = dt; + output.data = reinterpret_cast<uint8_t*>(dstData.data()); + output.size = dstData.size() * sizeof(float); + + // Execution + auto status = tosa_run_tile(input1, multiples, output, {}); + CHECK((status == tosa_status_valid)); + + // Compare results + std::vector<float> expectedData = { 1.0, 2.0, 3.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 4.0, 5.0, 6.0 }; + compareOutput(dstData, expectedData, expectedData.size()); + } + TEST_CASE("simple_add_f32_test") { std::string test_root(std::string(PROJECT_ROOT) + "../examples/test_add_1x4x4x4_f32/"); 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