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Diffstat (limited to 'reference_model/test/model_runner_tests.cpp')
-rw-r--r-- | reference_model/test/model_runner_tests.cpp | 60 |
1 files changed, 60 insertions, 0 deletions
diff --git a/reference_model/test/model_runner_tests.cpp b/reference_model/test/model_runner_tests.cpp index e838ea1..71e26c9 100644 --- a/reference_model/test/model_runner_tests.cpp +++ b/reference_model/test/model_runner_tests.cpp @@ -180,6 +180,66 @@ TEST_SUITE("model_runner") compareOutput(dstData, expectedData, expectedData.size()); } + TEST_CASE("op_entry_transpose_conv2d") + { + // Transpose Conv 2D parameters + const int32_t stride[2] = { 1, 1 }; + const int32_t out_pad[4] = { 0, 0, 0, 0 }; + const int32_t out_shape[4] = { 1, 32, 32, 16 }; + + // Inputs/Outputs + tosa_datatype_t dt = tosa_datatype_fp32_t; + std::vector<int32_t> input_shape = { 1, 32, 32, 8 }; + std::vector<int32_t> output_shape = { 1, 32, 32, 16 }; + std::vector<int32_t> weight_shape = { 16, 1, 1, 8 }; + std::vector<int32_t> bias_shape = { 16 }; + + std::vector<float> srcData(32 * 32 * 8, 1.0f); + std::vector<float> dstData(32 * 32 * 16, 0.f); + std::vector<float> biasData(16, 0.f); + std::vector<float> weightData(16 * 8, 1.0f); + + tosa_tensor_t input; + input.shape = input_shape.data(); + input.num_dims = input_shape.size(); + input.data_type = dt; + input.data = reinterpret_cast<uint8_t*>(srcData.data()); + input.size = srcData.size() * sizeof(float); + + tosa_tensor_t weight; + weight.shape = weight_shape.data(); + weight.num_dims = weight_shape.size(); + weight.data_type = dt; + weight.data = reinterpret_cast<uint8_t*>(weightData.data()); + weight.size = weightData.size() * sizeof(float); + + tosa_tensor_t bias; + bias.shape = bias_shape.data(); + bias.num_dims = bias_shape.size(); + bias.data_type = dt; + bias.data = reinterpret_cast<uint8_t*>(biasData.data()); + bias.size = biasData.size() * sizeof(float); + + 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); + + const int32_t input_zp = 0; + const int32_t weight_zp = 0; + + // Execution + auto status = + tosa_run_transpose_conv2d(input, weight, bias, out_pad, stride, out_shape, input_zp, weight_zp, output, {}); + CHECK((status == tosa_status_valid)); + + // Compare results + std::vector<float> expectedData(32 * 32 * 16, 8.0f); + compareOutput(dstData, expectedData, expectedData.size()); + } + TEST_CASE("op_entry_conv2d_abs_mode") { // Conv parameters |