diff options
Diffstat (limited to 'reference_model')
| -rw-r--r-- | reference_model/src/generate/generate_dot_product.cc | 136 | ||||
| -rw-r--r-- | reference_model/src/generate/generate_utils.cc | 1 | ||||
| -rw-r--r-- | reference_model/test/generate_tests.cpp | 159 |
3 files changed, 296 insertions, 0 deletions
diff --git a/reference_model/src/generate/generate_dot_product.cc b/reference_model/src/generate/generate_dot_product.cc index a5870c9..fe829e3 100644 --- a/reference_model/src/generate/generate_dot_product.cc +++ b/reference_model/src/generate/generate_dot_product.cc @@ -602,6 +602,140 @@ bool generateDepthwiseConv2D(const TosaReference::GenerateConfig& cfg, return false; } } +//---------------------------------------------------------------------------// +// Transpose Conv2D // +//---------------------------------------------------------------------------// + +template <typename DataType> +bool generateTransposeConv2DInput(const TosaReference::GenerateConfig& cfg, + TosaReference::IDotProductGenerator& generator, + DataType* data, + size_t size) +{ + if (cfg.dotProductInfo.kernel.size() != 2 || cfg.dotProductInfo.kernel[0] <= 0 || cfg.dotProductInfo.kernel[1] <= 0) + { + WARNING("[Generator][DP][TConv2D][Input] Missing or incorrect kernel size information."); + return false; + } + if (cfg.shape.size() != 4) + { + WARNING("[Generator][DP][TConv2D][Input] Tensor shape expected 4 dimensions."); + return false; + } + + const int64_t T = TosaReference::numElementsFromShape(cfg.shape); + const uint32_t IH = cfg.shape[1]; + const uint32_t IW = cfg.shape[2]; + const uint32_t IC = cfg.shape[3]; + const uint32_t KH = cfg.dotProductInfo.kernel[0]; + const uint32_t KW = cfg.dotProductInfo.kernel[1]; + + for (int64_t t = 0; t < T; ++t) + { + uint32_t ic = t % IC; + uint32_t ix = (t / IC) % IW; + uint32_t iy = ((t / IC) / IW) % IH; + uint32_t k = ((iy % KH) * KW + (ix % KW)) * IC + ic; + + data[t] = static_cast<DataType>(generator(k)); + } + return true; +} + +template <typename DataType> +bool generateTransposeConv2DWeight(const TosaReference::GenerateConfig& cfg, + TosaReference::IDotProductGenerator& generator, + DataType* data, + size_t size) +{ + if (cfg.shape.size() != 4) + { + WARNING("[Generator][DP][TConv2D][Weight] Tensor shape expected 4 dimensions."); + return false; + } + + const int64_t T = TosaReference::numElementsFromShape(cfg.shape); + const uint32_t KH = cfg.shape[1]; + const uint32_t KW = cfg.shape[2]; + const uint32_t IC = cfg.shape[3]; + + for (int64_t t = 0; t < T; ++t) + { + uint32_t ic = t % IC; + uint32_t kx = (t / IC) % KW; + uint32_t ky = ((t / IC) / KW) % KH; + uint32_t k = (ky * KW + kx) * IC + ic; + + data[t] = static_cast<DataType>(generator(k)); + } + return true; +} + +template <typename DataType> +bool generateTransposeConv2DBias(const TosaReference::GenerateConfig& cfg, + TosaReference::IDotProductGenerator& generator, + DataType* data, + size_t size) +{ + if (cfg.shape.size() != 1) + { + WARNING("[Generator][DP][TConv2D][Bias] Tensor shape expected 1 dimension."); + return false; + } + + const uint32_t T = cfg.shape[0]; + + for (uint32_t t = 0; t < T; ++t) + { + data[t] = static_cast<DataType>(generator(2)); + } + return true; +} + +bool generateTransposeConv2D(const TosaReference::GenerateConfig& cfg, + TosaReference::IDotProductGenerator& generator, + void* data, + size_t size) +{ + switch (cfg.dataType) + { + case DType::DType_FP32: { + float* outData = reinterpret_cast<float*>(data); + switch (cfg.inputPos) + { + case 0: + return generateTransposeConv2DInput(cfg, generator, outData, size); + case 1: + return generateTransposeConv2DWeight(cfg, generator, outData, size); + case 2: + return generateTransposeConv2DBias(cfg, generator, outData, size); + default: + WARNING("[Generator][DP][TConv2D] Invalid input tensor slot position to operator."); + return false; + } + break; + } + case DType::DType_FP16: { + half_float::half* outData = reinterpret_cast<half_float::half*>(data); + switch (cfg.inputPos) + { + case 0: + return generateTransposeConv2DInput(cfg, generator, outData, size); + case 1: + return generateTransposeConv2DWeight(cfg, generator, outData, size); + case 2: + return generateTransposeConv2DBias(cfg, generator, outData, size); + default: + WARNING("[Generator][DP][TConv2D] Invalid input tensor slot position to operator."); + return false; + } + break; + } + default: + WARNING("[Generator][DP][TConv2D] Only supports FP32 or FP16."); + return false; + } +} } // namespace namespace TosaReference @@ -636,6 +770,8 @@ bool generateDotProduct(const GenerateConfig& cfg, void* data, size_t size) return generateAvgPool2D(cfg, *generator, data, size); case tosa::Op_DEPTHWISE_CONV2D: return generateDepthwiseConv2D(cfg, *generator, data, size); + case tosa::Op_TRANSPOSE_CONV2D: + return generateTransposeConv2D(cfg, *generator, data, size); default: WARNING("[Generator][DP] Unsupported operator."); return false; diff --git a/reference_model/src/generate/generate_utils.cc b/reference_model/src/generate/generate_utils.cc index b2208c7..9807336 100644 --- a/reference_model/src/generate/generate_utils.cc +++ b/reference_model/src/generate/generate_utils.cc @@ -81,6 +81,7 @@ NLOHMANN_JSON_SERIALIZE_ENUM(Op, { Op::Op_SUB, "SUB" }, { Op::Op_TANH, "TANH" }, { Op::Op_TILE, "TILE" }, + { Op::Op_TRANSPOSE_CONV2D, "TRANSPOSE_CONV2D" }, }) } // namespace tosa diff --git a/reference_model/test/generate_tests.cpp b/reference_model/test/generate_tests.cpp index c01a223..c45c5b6 100644 --- a/reference_model/test/generate_tests.cpp +++ b/reference_model/test/generate_tests.cpp @@ -1065,4 +1065,163 @@ TEST_CASE("positive - FP16 depthwise_conv2d dot product (first 3 values)") } } +void transpose_conv2d_test_FP16(const std::string tosaName[3], + const size_t tosaElements[3], + const std::string templateJsonCfg, + const std::string setStr, + int32_t param, + const std::vector<uint16_t> lastExpected) +{ + std::string jsonCfg = templateJsonCfg; + update_json_template(jsonCfg, "_SET_", setStr); + + std::vector<half_float::half> buffer(tosaElements[param]); + REQUIRE(tgd_generate_data(jsonCfg.c_str(), tosaName[param].c_str(), (void*)buffer.data(), tosaElements[param] * 2)); + std::vector<half_float::half> last_three(buffer.end() - std::min<int>(3, buffer.size()), buffer.end()); + check_output<half_float::half>(last_three, lastExpected); +} + +TEST_CASE("positive - FP16 transpose_conv2d dot product (last 3 values)") +{ + std::string templateJsonCfg = R"({ + "tensors" : { + "input" : { + "generator": "DOT_PRODUCT", + "data_type": "FP16", + "input_type": "VARIABLE", + "shape" : [1, 5, 6, 3], + "input_pos": 0, + "op" : "TRANSPOSE_CONV2D", + "dot_product_info": { + "s": _SET_, + "ks": 30, + "acc_type": "FP16", + "kernel": [5, 2] + } + }, + "weight" : { + "generator": "DOT_PRODUCT", + "data_type": "FP16", + "input_type": "CONSTANT", + "shape" : [3, 5, 2, 3], + "input_pos": 1, + "op" : "TRANSPOSE_CONV2D", + "dot_product_info": { + "s": _SET_, + "ks": 30, + "acc_type": "FP16" + } + }, + "bias" : { + "generator": "DOT_PRODUCT", + "data_type": "FP16", + "input_type": "CONSTANT", + "shape" : [3], + "input_pos": 2, + "op" : "TRANSPOSE_CONV2D", + "dot_product_info": { + "s": _SET_, + "ks": 30, + "acc_type": "FP16" + } + } + + } + })"; + + const std::string tosaName[3] = { "input", "weight", "bias" }; + const size_t tosaElements[3] = { (1 * 5 * 6 * 3), (3 * 5 * 2 * 3), 3 }; + + SUBCASE("transpose_conv2d, set 0, param 0") + { + std::vector<uint16_t> expected = { 0x30e3, 0x0, 0x38e7 }; + transpose_conv2d_test_FP16(tosaName, tosaElements, templateJsonCfg, "0", 0, expected); + } + SUBCASE("transpose_conv2d, set 0, param 1") + { + std::vector<uint16_t> expected = { 0x0, 0x312a, 0x0 }; + transpose_conv2d_test_FP16(tosaName, tosaElements, templateJsonCfg, "0", 1, expected); + } + SUBCASE("transpose_conv2d, set 0, param 2") + { + std::vector<uint16_t> expected = { 0x0, 0x0, 0x0 }; + transpose_conv2d_test_FP16(tosaName, tosaElements, templateJsonCfg, "0", 2, expected); + } + SUBCASE("transpose_conv2d, set 1, param 0") + { + std::vector<uint16_t> expected = { 0x4eb3, 0x4fce, 0x4e4e }; + transpose_conv2d_test_FP16(tosaName, tosaElements, templateJsonCfg, "1", 0, expected); + } + SUBCASE("transpose_conv2d, set 1, param 1") + { + std::vector<uint16_t> expected = { 0x4e79, 0x4ed8, 0x502e }; + transpose_conv2d_test_FP16(tosaName, tosaElements, templateJsonCfg, "1", 1, expected); + } + SUBCASE("transpose_conv2d, set 1, param 2") + { + std::vector<uint16_t> expected = { 0x6426, 0x6635, 0x680e }; + transpose_conv2d_test_FP16(tosaName, tosaElements, templateJsonCfg, "1", 2, expected); + } + SUBCASE("transpose_conv2d, set 2, param 0") + { + std::vector<uint16_t> expected = { 0xb05d, 0xaf37, 0xa424 }; + transpose_conv2d_test_FP16(tosaName, tosaElements, templateJsonCfg, "2", 0, expected); + } + SUBCASE("transpose_conv2d, set 2, param 1") + { + std::vector<uint16_t> expected = { 0x3182, 0xacff, 0xaf9a }; + transpose_conv2d_test_FP16(tosaName, tosaElements, templateJsonCfg, "2", 1, expected); + } + SUBCASE("transpose_conv2d, set 2, param 2") + { + std::vector<uint16_t> expected = { 0x0, 0x0, 0x0 }; + transpose_conv2d_test_FP16(tosaName, tosaElements, templateJsonCfg, "2", 2, expected); + } + SUBCASE("transpose_conv2d, set 3, param 0") + { + std::vector<uint16_t> expected = { 0xbc41, 0x1cbe, 0x3009 }; + transpose_conv2d_test_FP16(tosaName, tosaElements, templateJsonCfg, "3", 0, expected); + } + SUBCASE("transpose_conv2d, set 3, param 1") + { + std::vector<uint16_t> expected = { 0x35ac, 0x3b2a, 0x2db4 }; + transpose_conv2d_test_FP16(tosaName, tosaElements, templateJsonCfg, "3", 1, expected); + } + SUBCASE("transpose_conv2d, set 3, param 2") + { + std::vector<uint16_t> expected = { 0x0, 0x0, 0x0 }; + transpose_conv2d_test_FP16(tosaName, tosaElements, templateJsonCfg, "3", 2, expected); + } + SUBCASE("transpose_conv2d, set 4, param 0") + { + std::vector<uint16_t> expected = { 0x0, 0x0, 0x4953 }; + transpose_conv2d_test_FP16(tosaName, tosaElements, templateJsonCfg, "4", 0, expected); + } + SUBCASE("transpose_conv2d, set 4, param 1") + { + std::vector<uint16_t> expected = { 0x4e62, 0xcd17, 0x0 }; + transpose_conv2d_test_FP16(tosaName, tosaElements, templateJsonCfg, "4", 1, expected); + } + SUBCASE("transpose_conv2d, set 4, param 2") + { + std::vector<uint16_t> expected = { 0x0, 0x0, 0x0 }; + transpose_conv2d_test_FP16(tosaName, tosaElements, templateJsonCfg, "4", 2, expected); + } + SUBCASE("transpose_conv2d, set 5, param 0") + { + std::vector<uint16_t> expected = { 0x505a, 0x4ff8, 0xd174 }; + transpose_conv2d_test_FP16(tosaName, tosaElements, templateJsonCfg, "5", 0, expected); + } + SUBCASE("transpose_conv2d, set 5, param 1") + { + std::vector<uint16_t> expected = { 0xd10e, 0xc728, 0xcd2e }; + transpose_conv2d_test_FP16(tosaName, tosaElements, templateJsonCfg, "5", 1, expected); + } + SUBCASE("transpose_conv2d, set 5, param 2") + { + std::vector<uint16_t> expected = { 0x0, 0x0, 0x0 }; + transpose_conv2d_test_FP16(tosaName, tosaElements, templateJsonCfg, "5", 2, expected); + } +} + TEST_SUITE_END(); // generate |