diff --git a/mlir-assigner/include/mlir-assigner/components/fixedpoint/trigonometric.hpp b/mlir-assigner/include/mlir-assigner/components/fixedpoint/trigonometric.hpp index 5eaf4f6..f664b84 100644 --- a/mlir-assigner/include/mlir-assigner/components/fixedpoint/trigonometric.hpp +++ b/mlir-assigner/include/mlir-assigner/components/fixedpoint/trigonometric.hpp @@ -59,6 +59,27 @@ namespace nil { 1, 1); fill_trace(component, input, operation, frame, bp, assignment, start_row); } + template + void handle_tanh( + mlir::math::TanhOp &operation, + stack_frame> &frame, + circuit_proxy> &bp, + assignment_proxy> + &assignment, + std::uint32_t start_row) { + using component_type = components::fix_tanh< + crypto3::zk::snark::plonk_constraint_system, + BlueprintFieldType, basic_non_native_policy>; + + auto input = PREPARE_UNARY_INPUT(mlir::math::TanhOp); + using manifest_reader = detail::ManifestReader; + const auto p = detail::PolicyManager::get_parameters( + detail::ManifestReader::get_witness(0, 1, 1)); + + component_type component(p.witness, manifest_reader::get_constants(), manifest_reader::get_public_inputs(), + 1, 1); + fill_trace(component, input, operation, frame, bp, assignment, start_row); + } } // namespace blueprint } // namespace nil diff --git a/mlir-assigner/include/mlir-assigner/components/fixedpoint/trigonometric/acos.hpp b/mlir-assigner/include/mlir-assigner/components/fixedpoint/trigonometric/acos.hpp deleted file mode 100644 index da5d48f..0000000 --- a/mlir-assigner/include/mlir-assigner/components/fixedpoint/trigonometric/acos.hpp +++ /dev/null @@ -1,121 +0,0 @@ -#ifndef CRYPTO3_ASSIGNER_FIXEDPOINT_ACOS_HPP -#define CRYPTO3_ASSIGNER_FIXEDPOINT_ACOS_HPP - -#include "mlir/Dialect/zkml/IR/DotProduct.h" -#include - -#include - -#include -#include -#include -#include // TODO: check if there is a new mechanism for this in nil upstream - -#include -#include - -#include - -namespace nil { - namespace blueprint { - /* - namespace detail { - template - typename components::fix_dot_rescale_2_gates< - crypto3::zk::snark::plonk_constraint_system, - BlueprintFieldType, - basic_non_native_policy>::result_type - handle_fixedpoint_dot_product_component( - memref> x, - memref> y, crypto3::zk::snark::plonk_variable &zero_var, - circuit> &bp, - assignment> &assignment, - std::uint32_t start_row) { - - using var = crypto3::zk::snark::plonk_variable< - typename BlueprintFieldType::value_type>; - - using component_type = components::fix_dot_rescale_2_gates< - crypto3::zk::snark::plonk_constraint_system, - BlueprintFieldType, basic_non_native_policy>; - using manifest_reader = - ManifestReader; - auto dims = x.getDims(); - ASSERT(dims.size() == 1 && "must be one-dim for dot product"); - const auto p = PolicyManager::get_parameters(manifest_reader::get_witness(0, - dims.front(), 1)); component_type component_instance(p.witness, - manifest_reader::get_constants(), manifest_reader::get_public_inputs(), - dims.front(), 1); - - if constexpr (nil::blueprint::use_custom_lookup_tables()) { - auto lookup_tables = component_instance.component_custom_lookup_tables(); - for (auto &t : lookup_tables) { - bp.register_lookup_table( - std::shared_ptr>(t)); - } - }; - - if constexpr (nil::blueprint::use_lookups()) { - auto lookup_tables = component_instance.component_lookup_tables(); - for (auto &[k, v] : lookup_tables) { - bp.reserve_table(k); - } - }; - - using DotProductInputType = const typename - components::plonk_fixedpoint_dot_rescale_2_gates< BlueprintFieldType, - ArithmetizationParams>::input_type; - - - // TACEO_TODO in the previous line I hardcoded 1 for now!!! CHANGE THAT - // TACEO_TODO make an assert that both have the same scale? - // TACEO_TODO we probably have to extract the field element from the type here - - DotProductInputType input = {x.getData(), y.getData(), zero_var}; - - components::generate_circuit(component_instance, bp, assignment, input, - start_row); - return components::generate_assignments(component_instance, assignment, input, - start_row); - } - - } // namespace detail - - template - void handle_fixedpoint_dot_product_component( - mlir::zkml::DotProductOp &operation, - crypto3::zk::snark::plonk_variable< - typename BlueprintFieldType::value_type> &zero_var, - stack_frame> &frame, - circuit> &bp, - assignment> &assignment) { - - auto lhs = frame.memrefs.find(mlir::hash_value(operation.getLhs())); - ASSERT(lhs != frame.memrefs.end()); - auto rhs = frame.memrefs.find(mlir::hash_value(operation.getRhs())); - ASSERT(rhs != frame.memrefs.end()); - - auto x = lhs->second; - auto y = rhs->second; - - // TACEO_TODO: check types - - auto result = detail::handle_fixedpoint_dot_product_component( - x, y, zero_var, bp, assignment, assignment.allocated_rows()); - frame.locals[mlir::hash_value(operation.getResult())] = result.output; - }*/ - } // namespace blueprint -} // namespace nil - -#endif // CRYPTO3_ASSIGNER_FIXEDPOINT_ACOS_HPP diff --git a/mlir-assigner/include/mlir-assigner/components/handle_component.hpp b/mlir-assigner/include/mlir-assigner/components/handle_component.hpp index d21cfb0..39bbd9f 100644 --- a/mlir-assigner/include/mlir-assigner/components/handle_component.hpp +++ b/mlir-assigner/include/mlir-assigner/components/handle_component.hpp @@ -31,6 +31,7 @@ #include #include #include +#include #include #include #include diff --git a/mlir-assigner/include/mlir-assigner/memory/memref.hpp b/mlir-assigner/include/mlir-assigner/memory/memref.hpp index acabe57..c416962 100644 --- a/mlir-assigner/include/mlir-assigner/memory/memref.hpp +++ b/mlir-assigner/include/mlir-assigner/memory/memref.hpp @@ -118,6 +118,14 @@ namespace nil { return data.size(); } + void copyFrom(memref &src, uint64_t num_elements, uint64_t dst_offset, uint64_t src_offset) { + assert(this->size() >= num_elements + dst_offset && "Out of bounds access"); + assert(src.size() >= num_elements + src_offset && "Out of bounds access"); + for (unsigned i = 0; i < num_elements; ++i) { + this->data[dst_offset + i] = src.data[src_offset + i]; + } + } + template void print( std::ostream &os, @@ -144,13 +152,13 @@ namespace nil { (BlueprintFieldType::modulus - typename BlueprintFieldType::integral_type(1)) / typename BlueprintFieldType::integral_type(2); for (int i = 0; i < data.size(); i++) { - auto val = - static_cast(var_value(assignment, data[i]).data); + auto val = static_cast( + var_value(assignment, data[i]).data); // check if negative if (val > half_p) { val = BlueprintFieldType::modulus - val; os << "-"; - } + } os << val; if (i != data.size() - 1) os << ","; diff --git a/mlir-assigner/include/mlir-assigner/parser/evaluator.hpp b/mlir-assigner/include/mlir-assigner/parser/evaluator.hpp index 9fe524e..ab0ed2c 100644 --- a/mlir-assigner/include/mlir-assigner/parser/evaluator.hpp +++ b/mlir-assigner/include/mlir-assigner/parser/evaluator.hpp @@ -261,6 +261,12 @@ namespace zk_ml_toolchain { } } + double toFixpoint(VarType toConvert) { + auto val = var_value(assignmnt, toConvert).data; + nil::blueprint::components::FixedPoint out(val, 16); + return out.to_double(); + } + void handleArithOperation(Operation *op) { std::uint32_t start_row = assignmnt.allocated_rows(); if (arith::AddFOp operation = llvm::dyn_cast(op)) { @@ -516,6 +522,8 @@ namespace zk_ml_toolchain { std::uint32_t start_row = assignmnt.allocated_rows(); if (math::ExpOp operation = llvm::dyn_cast(op)) { handle_fixedpoint_exp_component(operation, frames.back(), bp, assignmnt, start_row); + } else if (math::Exp2Op operation = llvm::dyn_cast(op)) { + UNREACHABLE("TODO: component for exp2 not ready"); } else if (math::LogOp operation = llvm::dyn_cast(op)) { handle_fixedpoint_log_component(operation, frames.back(), bp, assignmnt, start_row); } else if (math::PowFOp operation = llvm::dyn_cast(op)) { @@ -538,9 +546,9 @@ namespace zk_ml_toolchain { } else if (math::CosOp operation = llvm::dyn_cast(op)) { handle_cos(operation, frames.back(), bp, assignmnt, start_row); } else if (math::AtanOp operation = llvm::dyn_cast(op)) { - UNREACHABLE("TODO: component for atanh not ready"); + UNREACHABLE("TODO: component for atan not ready"); } else if (math::TanhOp operation = llvm::dyn_cast(op)) { - UNREACHABLE("TODO: component for tanh not ready"); + handle_tanh(operation, frames.back(), bp, assignmnt, start_row); } else if (math::ErfOp operation = llvm::dyn_cast(op)) { UNREACHABLE("TODO: component for erf not ready"); } else { @@ -745,7 +753,7 @@ namespace zk_ml_toolchain { assert(funcOp != functions.end()); // only can handle single outputs atm - assert(numOutputs == 1); + // assert(numOutputs == 1); // prepare the arguments for the function frames.push_back(nil::blueprint::stack_frame()); @@ -775,6 +783,21 @@ namespace zk_ml_toolchain { // TODO: what to do when done... // maybe print output? return; + } else if (KrnlMemcpyOp operation = llvm::dyn_cast(op)) { + // get dst and src memref + auto DstMemref = frames.back().memrefs.find(mlir::hash_value(operation.getDest())); + auto SrcMemref = frames.back().memrefs.find(mlir::hash_value(operation.getSrc())); + assert(DstMemref != frames.back().memrefs.end()); + assert(SrcMemref != frames.back().memrefs.end()); + // get num elements and offset + auto NumElements = frames.back().constant_values.find(mlir::hash_value(operation.getNumElems())); + auto DstOffset = frames.back().constant_values.find(mlir::hash_value(operation.getDestOffset())); + auto SrcOffset = frames.back().constant_values.find(mlir::hash_value(operation.getSrcOffset())); + assert(NumElements != frames.back().constant_values.end()); + assert(DstOffset != frames.back().constant_values.end()); + assert(SrcOffset != frames.back().constant_values.end()); + DstMemref->second.copyFrom(SrcMemref->second, NumElements->second, DstOffset->second, + SrcOffset->second); } else if (KrnlAcosOp operation = llvm::dyn_cast(op)) { UNREACHABLE(std::string("TODO KrnlAcos: link to bluebrint component")); } else if (KrnlAsinOp operation = llvm::dyn_cast(op)) { @@ -990,14 +1013,16 @@ namespace zk_ml_toolchain { if (func::ReturnOp operation = llvm::dyn_cast(op)) { auto ops = operation.getOperands(); - assert(ops.size() == 1); // only handle single return value atm + // assert(ops.size() == 1); // only handle single return value atm // the ops[0] is something that we can hash_value to grab the result // from maps - auto retval = frames.back().memrefs.find(mlir::hash_value(ops[0])); - assert(retval != frames.back().memrefs.end()); if (PrintCircuitOutput) { std::cout << "Result:\n"; - retval->second.print(std::cout, assignmnt); + for (unsigned i = 0; i < ops.size(); ++i) { + auto retval = frames.back().memrefs.find(mlir::hash_value(ops[i])); + assert(retval != frames.back().memrefs.end()); + retval->second.print(std::cout, assignmnt); + } } return; } diff --git a/mlir-assigner/include/mlir-assigner/parser/input_reader.hpp b/mlir-assigner/include/mlir-assigner/parser/input_reader.hpp index b6b4f98..c5c02a9 100644 --- a/mlir-assigner/include/mlir-assigner/parser/input_reader.hpp +++ b/mlir-assigner/include/mlir-assigner/parser/input_reader.hpp @@ -28,6 +28,7 @@ #include #include "mlir-assigner/helper/asserts.hpp" +#include "onnx/string_utils.h" #include #include @@ -62,12 +63,12 @@ namespace nil { } bool parse_fixedpoint(const boost::json::value &value, typename BlueprintFieldType::value_type &out) { - // for now only double, but later we most likely will need strings as well - // we hardcode the scale with 2^16 for now. Let's see later down the line double d; if (value.kind() == boost::json::kind::double_) { d = value.as_double(); - } else { + } else if (value.kind() == boost::json::kind::int64) { + d = static_cast(value.as_int64()); + }else { UNREACHABLE("TODO add string support"); } nil::blueprint::components::FixedPoint fixed(d); @@ -82,14 +83,14 @@ namespace nil { } bool parse_int(const boost::json::value &value, typename BlueprintFieldType::value_type &out) { - switch (value.kind()) { - case boost::json::kind::int64: - case boost::json::kind::uint64: - return parse_scalar(value, out); - default: - std::cerr << "unsupported int type: " << value.as_string() << std::endl; - UNREACHABLE("int must be int64 or uint64"); - }; + switch (value.kind()) { + case boost::json::kind::int64: + case boost::json::kind::uint64: + return parse_scalar(value, out); + default: + std::cerr << "unsupported int type: " << value.as_string() << std::endl; + UNREACHABLE("int must be int64 or uint64"); + }; } bool parse_scalar(const boost::json::value &value, typename BlueprintFieldType::value_type &out) { @@ -243,7 +244,6 @@ namespace nil { } bool parse_memref_data(memref &data, const boost::json::array &tensor_arr, std::string &type) { - if (type == "f32") { for (size_t i = 0; i < tensor_arr.size(); ++i) { if (!parse_fixedpoint(tensor_arr[i], assignmnt.public_input(0, public_input_idx))) { @@ -253,7 +253,7 @@ namespace nil { data.put_flat(i, var(0, public_input_idx++, false, var::column_type::public_input)); } } else if (type == "int") { - //TODO do we have to handle uint? + // TODO do we have to handle uint? for (size_t i = 0; i < tensor_arr.size(); ++i) { if (!parse_int(tensor_arr[i], assignmnt.public_input(0, public_input_idx))) { llvm::errs() << "expect fixedpoints in tensor\n"; @@ -261,8 +261,7 @@ namespace nil { } data.put_flat(i, var(0, public_input_idx++, false, var::column_type::public_input)); } - } - else if (type == "bool") { + } else if (type == "bool") { for (size_t i = 0; i < tensor_arr.size(); ++i) { if (!parse_bool(tensor_arr[i], assignmnt.public_input(0, public_input_idx))) { llvm::errs() << "expect fixedpoints in tensor\n"; diff --git a/mlir-assigner/tests/Ops/NeedsBlueprintComponent/CumSum/CumSumSimple.json b/mlir-assigner/tests/Ops/NeedsBlueprintComponent/CumSum/CumSumSimple.json new file mode 100644 index 0000000..2749312 --- /dev/null +++ b/mlir-assigner/tests/Ops/NeedsBlueprintComponent/CumSum/CumSumSimple.json @@ -0,0 +1 @@ +[{"memref": {"data": [0.863128662109375, 0.9586029052734375, 0.882354736328125, 0.1265869140625, 0.845703125, 0.1936492919921875, 0.6169281005859375, 0.9657135009765625, 0.6363525390625, 0.4542388916015625, 0.6410369873046875, 0.8735504150390625, 0.3882904052734375, 0.835235595703125, 0.3632965087890625, 0.9285125732421875, 0.348907470703125, 0.7984161376953125, 0.7083587646484375, 0.02813720703125, 0.947784423828125, 0.0034942626953125, 0.203033447265625, 0.0853729248046875, 0.5583343505859375], "dims": [1, 25], "type": "f32"}}] \ No newline at end of file diff --git a/mlir-assigner/tests/Ops/NeedsBlueprintComponent/CumSum/CumSumSimple.mlir b/mlir-assigner/tests/Ops/NeedsBlueprintComponent/CumSum/CumSumSimple.mlir new file mode 100644 index 0000000..17b90b8 --- /dev/null +++ b/mlir-assigner/tests/Ops/NeedsBlueprintComponent/CumSum/CumSumSimple.mlir @@ -0,0 +1,41 @@ +module attributes {llvm.data_layout = "e-m:e-p270:32:32-p271:32:32-p272:64:64-i64:64-f80:128-n8:16:32:64-S128", llvm.target_triple = "x86_64-pc-linux-gnu", "onnx-mlir.symbol-postfix" = "cumsumsimple.mlir"} { + func.func @main_graph(%arg0: memref<1x25xf32>) -> memref<1x25xf32> attributes {input_names = ["in_a"], llvm.emit_c_interface, output_names = ["out_a"]} { + %cst = arith.constant 0.000000e+00 : f32 + %c0 = arith.constant 0 : index + %alloc = memref.alloc() {alignment = 16 : i64} : memref<1x25xf32> + %alloc_0 = memref.alloc() {alignment = 16 : i64} : memref<1x25xf32> + affine.for %arg1 = 0 to 1 { + affine.for %arg2 = 0 to 25 { + %0 = affine.load %arg0[%arg1, %arg2] : memref<1x25xf32> + affine.store %0, %alloc_0[%arg1, %arg2] : memref<1x25xf32> + } + } + affine.for %arg1 = 0 to 5 { + %0 = arith.index_cast %arg1 : index to i64 + %1 = arith.sitofp %0 : i64 to f32 + %2 = math.exp2 %1 : f32 + %3 = arith.fptosi %2 : f32 to i64 + %4 = arith.index_cast %3 : i64 to index + affine.for %arg2 = 0 to 1 { + affine.for %arg3 = 0 to 25 { + %5 = affine.load %alloc_0[%arg2, %arg3] : memref<1x25xf32> + %6 = arith.subi %arg3, %4 : index + %7 = arith.cmpi sge, %6, %c0 : index + %8 = arith.select %7, %6, %arg3 : index + %9 = memref.load %alloc_0[%arg2, %8] : memref<1x25xf32> + %10 = arith.select %7, %9, %cst : f32 + %11 = arith.addf %5, %10 : f32 + affine.store %11, %alloc[%arg2, %arg3] : memref<1x25xf32> + } + } + affine.for %arg2 = 0 to 1 { + affine.for %arg3 = 0 to 25 { + %5 = affine.load %alloc[%arg2, %arg3] : memref<1x25xf32> + affine.store %5, %alloc_0[%arg2, %arg3] : memref<1x25xf32> + } + } + } + return %alloc : memref<1x25xf32> + } + "krnl.entry_point"() {func = @main_graph, numInputs = 1 : i32, numOutputs = 1 : i32, signature = "[ { \22type\22 : \22f32\22 , \22dims\22 : [1 , 25] , \22name\22 : \22in_a\22 }\0A\0A]\00@[ { \22type\22 : \22f32\22 , \22dims\22 : [1 , 25] , \22name\22 : \22out_a\22 }\0A\0A]\00"} : () -> () +} diff --git a/mlir-assigner/tests/Ops/NeedsBlueprintComponent/CumSum/CumSumSimple.onnx b/mlir-assigner/tests/Ops/NeedsBlueprintComponent/CumSum/CumSumSimple.onnx new file mode 100644 index 0000000..9fce9f5 --- /dev/null +++ b/mlir-assigner/tests/Ops/NeedsBlueprintComponent/CumSum/CumSumSimple.onnx @@ -0,0 +1,12 @@ + :i + +in_a +in_bout_a"CumSum CumSumSimple* :Bin_bZ +in_a +  + +b +out_a +  + +B \ No newline at end of file diff --git a/mlir-assigner/tests/Ops/NeedsBlueprintComponent/CumSum/CumSumSimple.res b/mlir-assigner/tests/Ops/NeedsBlueprintComponent/CumSum/CumSumSimple.res new file mode 100644 index 0000000..22a381e --- /dev/null +++ b/mlir-assigner/tests/Ops/NeedsBlueprintComponent/CumSum/CumSumSimple.res @@ -0,0 +1,3 @@ +Result: +memref<1x25xf32>[0.863128662109375, 1.8217315673828125, 2.7040863037109375, 2.8306732177734375, 3.6763763427734375, 3.870025634765625, 4.4869537353515625, 5.452667236328125, 6.089019775390625, 6.5432586669921875, 7.184295654296875, 8.057846069335938, 8.446136474609375, 9.2813720703125, 9.644668579101562, 10.57318115234375, 10.922088623046875, 11.720504760742188, 12.428863525390625, 12.457000732421875, 13.40478515625, 13.408279418945312, 13.611312866210938, 13.696685791015625, 14.255020141601562] +ADD THE ROWS HERE \ No newline at end of file diff --git a/mlir-assigner/tests/Ops/NeedsBlueprintComponent/LRN/LRNSimple.json b/mlir-assigner/tests/Ops/NeedsBlueprintComponent/LRN/LRNSimple.json new file mode 100644 index 0000000..eb559ff --- /dev/null +++ b/mlir-assigner/tests/Ops/NeedsBlueprintComponent/LRN/LRNSimple.json @@ -0,0 +1 @@ +[{"memref": {"data": [0.7279052734375, 0.621490478515625, 0.04486083984375, 0.5573883056640625, 0.324981689453125, 0.1620330810546875, 0.1077880859375, 0.618438720703125, 0.8605804443359375, 0.59765625, 0.6006011962890625, 0.997772216796875, 0.696502685546875, 0.0393524169921875, 0.1822662353515625, 0.9929656982421875, 0.78680419921875, 0.7318267822265625, 0.792724609375, 0.4756622314453125, 0.7882080078125, 0.873779296875, 0.911834716796875, 0.5997467041015625, 0.4006500244140625, 0.3631591796875, 0.1025848388671875, 0.2843017578125, 0.4908294677734375, 0.338470458984375, 0.92584228515625, 0.667022705078125, 0.4026031494140625, 0.86328125, 0.2275238037109375, 0.73919677734375, 0.1604766845703125, 0.5344696044921875, 0.0757904052734375, 0.399993896484375, 0.1120452880859375, 0.1246185302734375, 0.264617919921875, 0.280975341796875, 0.401458740234375, 0.213592529296875, 0.482635498046875, 0.32525634765625, 0.4530181884765625, 0.6632843017578125, 0.1862030029296875, 0.3113555908203125, 0.5822601318359375, 0.2676544189453125, 0.3687896728515625, 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--git a/mlir-assigner/tests/Ops/NeedsBlueprintComponent/LRN/LRNSimple.mlir b/mlir-assigner/tests/Ops/NeedsBlueprintComponent/LRN/LRNSimple.mlir new file mode 100644 index 0000000..df0a25f --- /dev/null +++ b/mlir-assigner/tests/Ops/NeedsBlueprintComponent/LRN/LRNSimple.mlir @@ -0,0 +1,37 @@ +#map = affine_map<(d0) -> (0, d0 - 1)> +#map1 = affine_map<(d0) -> (5, d0 + 2)> +module attributes {llvm.data_layout = "e-m:e-p270:32:32-p271:32:32-p272:64:64-i64:64-f80:128-n8:16:32:64-S128", llvm.target_triple = "x86_64-pc-linux-gnu", "onnx-mlir.symbol-postfix" = "lrnsimple.mlir"} { + func.func @main_graph(%arg0: memref<5x5x5x5xf32>) -> memref<5x5x5x5xf32> attributes {input_names = ["in_a"], llvm.emit_c_interface, output_names = ["out_a"]} { + %cst = arith.constant 0.000000e+00 : f32 + %cst_0 = arith.constant 1.000000e+00 : f32 + %cst_1 = arith.constant 3.33333337E-5 : f32 + %cst_2 = arith.constant 7.500000e-01 : f32 + %alloc = memref.alloc() {alignment = 16 : i64} : memref<5x5x5x5xf32> + affine.for %arg1 = 0 to 5 { + affine.for %arg2 = 0 to 5 { + affine.for %arg3 = 0 to 5 { + affine.for %arg4 = 0 to 5 { + %alloc_3 = memref.alloc() : memref + affine.store %cst, %alloc_3[] : memref + affine.for %arg5 = max #map(%arg2) to min #map1(%arg2) { + %6 = affine.load %arg0[%arg1, %arg5, %arg3, %arg4] : memref<5x5x5x5xf32> + %7 = arith.mulf %6, %6 : f32 + %8 = affine.load %alloc_3[] : memref + %9 = arith.addf %8, %7 : f32 + affine.store %9, %alloc_3[] : memref + } + %0 = affine.load %arg0[%arg1, %arg2, %arg3, %arg4] : memref<5x5x5x5xf32> + %1 = affine.load %alloc_3[] : memref + %2 = arith.mulf %1, %cst_1 : f32 + %3 = arith.addf %2, %cst_0 : f32 + %4 = math.powf %3, %cst_2 : f32 + %5 = arith.divf %0, %4 : f32 + affine.store %5, %alloc[%arg1, %arg2, %arg3, %arg4] : memref<5x5x5x5xf32> + } + } + } + } + return %alloc : memref<5x5x5x5xf32> + } + "krnl.entry_point"() {func = @main_graph, numInputs = 1 : i32, numOutputs = 1 : i32, signature = "[ { \22type\22 : \22f32\22 , \22dims\22 : [5 , 5 , 5 , 5] , \22name\22 : \22in_a\22 }\0A\0A]\00@[ { \22type\22 : \22f32\22 , \22dims\22 : [5 , 5 , 5 , 5] , \22name\22 : \22out_a\22 }\0A\0A]\00"} : () -> () +} diff --git a/mlir-assigner/tests/Ops/NeedsBlueprintComponent/LRN/LRNSimple.onnx b/mlir-assigner/tests/Ops/NeedsBlueprintComponent/LRN/LRNSimple.onnx new file mode 100644 index 0000000..d5aec8f --- /dev/null +++ b/mlir-assigner/tests/Ops/NeedsBlueprintComponent/LRN/LRNSimple.onnx @@ -0,0 +1,16 @@ + :m + +in_aout_a"LRN* +size� LRNSimpleZ +in_a + + + + +b +out_a + + + + +B \ No newline at end of file diff --git a/mlir-assigner/tests/Ops/NeedsBlueprintComponent/LRN/LRNSimple.res b/mlir-assigner/tests/Ops/NeedsBlueprintComponent/LRN/LRNSimple.res new file mode 100644 index 0000000..6ec8fec --- /dev/null +++ b/mlir-assigner/tests/Ops/NeedsBlueprintComponent/LRN/LRNSimple.res @@ -0,0 +1,3 @@ +Result: +memref<5x5x5x5xf32>[0.7278932332992554, 0.6214843392372131, 0.04486075043678284, 0.5573806762695312, 0.32497990131378174, 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arith.constant 127 : index + %c55 = arith.constant 55 : index + %cst = arith.constant 4.999990e-01 : f32 + %cst_0 = arith.constant 5.000000e-01 : f32 + %c0 = arith.constant 0 : index + %c0_i64 = arith.constant 0 : i64 + %cst_1 = arith.constant 2.000000e+00 : f32 + %c56 = arith.constant 56 : index + %c128 = arith.constant 128 : index + %c1 = arith.constant 1 : index + %alloc = memref.alloc() {alignment = 16 : i64} : memref<1x128x112x112xf32> + affine.for %arg2 = 0 to 1 { + affine.for %arg3 = 0 to 128 { + affine.for %arg4 = 0 to 112 { + affine.for %arg5 = 0 to 112 { + %0 = arith.index_cast %arg2 : index to i64 + %1 = arith.sitofp %0 : i64 to f32 + %2 = arith.addf %1, %cst_0 : f32 + %3 = arith.subf %2, %cst_0 : f32 + %4 = arith.addf %3, %cst : f32 + %5 = arith.fptosi %4 : f32 to i64 + %6 = arith.cmpi slt, %5, %c0_i64 : i64 + %7 = arith.select %6, %c0_i64, %5 : i64 + %8 = arith.index_cast %7 : i64 to index + %9 = arith.cmpi slt, %8, %c1 : index + %10 = arith.select %9, %8, %c0 : index + %11 = arith.index_cast %arg3 : index to i64 + %12 = arith.sitofp %11 : i64 to f32 + %13 = arith.addf %12, %cst_0 : f32 + %14 = arith.subf %13, %cst_0 : f32 + %15 = arith.addf %14, %cst : f32 + %16 = arith.fptosi %15 : f32 to i64 + %17 = arith.cmpi slt, %16, %c0_i64 : i64 + %18 = arith.select %17, %c0_i64, %16 : i64 + %19 = arith.index_cast %18 : i64 to index + %20 = arith.cmpi slt, %19, %c128 : index + %21 = arith.select %20, %19, %c127 : index + %22 = arith.index_cast %arg4 : index to i64 + %23 = arith.sitofp %22 : i64 to f32 + %24 = arith.addf %23, %cst_0 : f32 + %25 = arith.divf %24, %cst_1 : f32 + %26 = arith.subf %25, %cst_0 : f32 + %27 = arith.addf %26, %cst : f32 + %28 = arith.fptosi %27 : f32 to i64 + %29 = arith.cmpi slt, %28, %c0_i64 : i64 + %30 = arith.select %29, %c0_i64, %28 : i64 + %31 = arith.index_cast %30 : i64 to index + %32 = arith.cmpi slt, %31, %c56 : index + %33 = arith.select %32, %31, %c55 : index + %34 = arith.index_cast %arg5 : index to i64 + %35 = arith.sitofp %34 : i64 to f32 + %36 = arith.addf %35, %cst_0 : f32 + %37 = arith.divf %36, %cst_1 : f32 + %38 = arith.subf %37, %cst_0 : f32 + %39 = arith.addf %38, %cst : f32 + %40 = arith.fptosi %39 : f32 to i64 + %41 = arith.cmpi slt, %40, %c0_i64 : i64 + %42 = arith.select %41, %c0_i64, %40 : i64 + %43 = arith.index_cast %42 : i64 to index + %44 = arith.cmpi slt, %43, %c56 : index + %45 = arith.select %44, %43, %c55 : index + %46 = memref.load %arg0[%10, %21, %33, %45] : memref<1x128x56x56xf32> + affine.store %46, %alloc[%arg2, %arg3, %arg4, %arg5] : memref<1x128x112x112xf32> + } + } + } + } + return %alloc : memref<1x128x112x112xf32> + } + "krnl.entry_point"() {func = @main_graph, numInputs = 2 : i32, numOutputs = 1 : i32, signature = "[ { \22type\22 : \22f32\22 , \22dims\22 : [1 , 128 , 56 , 56] , \22name\22 : \22in_a\22 }\0A , { \22type\22 : \22f32\22 , \22dims\22 : [] , \22name\22 : \22in_b\22 }\0A\0A]\00@[ { \22type\22 : \22f32\22 , \22dims\22 : [1 , 128 , 112 , 112] , \22name\22 : \22out_a\22 }\0A\0A]\00"} : () -> () +} diff --git a/mlir-assigner/tests/Ops/NeedsBlueprintComponent/Resize/ResizeSimple.onnx b/mlir-assigner/tests/Ops/NeedsBlueprintComponent/Resize/ResizeSimple.onnx new file mode 100644 index 0000000..4097630 Binary files /dev/null and b/mlir-assigner/tests/Ops/NeedsBlueprintComponent/Resize/ResizeSimple.onnx differ diff --git a/mlir-assigner/tests/Ops/NeedsBlueprintComponent/Resize/ResizeSimple.res b/mlir-assigner/tests/Ops/NeedsBlueprintComponent/Resize/ResizeSimple.res new file mode 100644 index 0000000..f68d493 --- /dev/null +++ b/mlir-assigner/tests/Ops/NeedsBlueprintComponent/Resize/ResizeSimple.res @@ -0,0 +1,3 @@ +Result: +memref<1x128x112x112xf32>[0.334869384765625, 0.334869384765625, 0.833831787109375, 0.833831787109375, 0.202362060546875, 0.202362060546875, 0.4550323486328125, 0.4550323486328125, 0.03570556640625, 0.03570556640625, 0.3069610595703125, 0.3069610595703125, 0.21575927734375, 0.21575927734375, 0.3832550048828125, 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memref<1x10xf32>) -> memref<1x10xf32> attributes {input_names = ["in_a"], llvm.emit_c_interface, output_names = ["out_a"]} { - %alloc = memref.alloc() {alignment = 16 : i64} : memref<1x10xf32> - affine.for %arg1 = 0 to 1 { - affine.for %arg2 = 0 to 10 { - %0 = affine.load %arg0[%arg1, %arg2] : memref<1x10xf32> - %1 = math.tanh %0 : f32 - affine.store %1, %alloc[%arg1, %arg2] : memref<1x10xf32> - } - } - return %alloc : memref<1x10xf32> - } - "krnl.entry_point"() {func = @main_graph, numInputs = 1 : i32, numOutputs = 1 : i32, signature = "[ { \22type\22 : \22f32\22 , \22dims\22 : [1 , 10] , \22name\22 : \22in_a\22 }\0A\0A]\00@[ { \22type\22 : \22f32\22 , \22dims\22 : [1 , 10] , \22name\22 : \22out_a\22 }\0A\0A]\00"} : () -> () -} diff --git a/mlir-assigner/tests/Ops/Onnx/GRU/GRUSimple.json b/mlir-assigner/tests/Ops/Onnx/GRU/GRUSimple.json new file mode 100644 index 0000000..d22400f --- /dev/null +++ b/mlir-assigner/tests/Ops/Onnx/GRU/GRUSimple.json @@ -0,0 +1 @@ +[{"memref": {"data": 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activationsJSigmoidJTanh�* + direction"forward�* + hidden_size� GRUSimpleZ +in_a + + + + +Z +in_b + + + + +Z +in_c + + + +b +out_a + + + + +b +out_b + + + +B \ No newline at end of file diff --git a/mlir-assigner/tests/Ops/Onnx/GRU/GRUSimple.res b/mlir-assigner/tests/Ops/Onnx/GRU/GRUSimple.res new file mode 100644 index 0000000..2b04369 --- /dev/null +++ b/mlir-assigner/tests/Ops/Onnx/GRU/GRUSimple.res @@ -0,0 +1,4 @@ +Result: +memref<1x1x1x2xf32>[0.03424155339598656, 0.04885322228074074] +memref<1x1x2xf32>[0.03424155339598656, 0.04885322228074074] +87 diff --git a/mlir-assigner/tests/Ops/Onnx/InstanceNormalization/InstanceNormalizationSimple.json b/mlir-assigner/tests/Ops/Onnx/InstanceNormalization/InstanceNormalizationSimple.json new file mode 100644 index 0000000..399704a --- /dev/null +++ b/mlir-assigner/tests/Ops/Onnx/InstanceNormalization/InstanceNormalizationSimple.json @@ -0,0 +1 @@ +[{"memref": {"data": [0.6345672607421875, 0.0876922607421875, 0.411956787109375, 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3.2747962474823, -0.598192572593689, -1.967644214630127] +57416 diff --git a/mlir-assigner/tests/Ops/Onnx/InstanceNormalization/InstanceNormalizationSmall.json b/mlir-assigner/tests/Ops/Onnx/InstanceNormalization/InstanceNormalizationSmall.json new file mode 100644 index 0000000..3a91c07 --- /dev/null +++ b/mlir-assigner/tests/Ops/Onnx/InstanceNormalization/InstanceNormalizationSmall.json @@ -0,0 +1 @@ +[{"memref": {"data": [0.067779541015625, 0.75250244140625, 0.0051727294921875, 0.5377044677734375, 0.1295623779296875, 0.489166259765625, 0.0432891845703125, 0.7591552734375], "dims": [1, 2, 2, 2], "type": "f32"}}] diff --git a/mlir-assigner/tests/Ops/Onnx/InstanceNormalization/InstanceNormalizationSmall.onnx b/mlir-assigner/tests/Ops/Onnx/InstanceNormalization/InstanceNormalizationSmall.onnx new file mode 100644 index 0000000..de92427 Binary files /dev/null and b/mlir-assigner/tests/Ops/Onnx/InstanceNormalization/InstanceNormalizationSmall.onnx differ diff --git a/mlir-assigner/tests/Ops/Onnx/InstanceNormalization/InstanceNormalizationSmall.res b/mlir-assigner/tests/Ops/Onnx/InstanceNormalization/InstanceNormalizationSmall.res new file mode 100644 index 0000000..37ad6d3 --- /dev/null +++ b/mlir-assigner/tests/Ops/Onnx/InstanceNormalization/InstanceNormalizationSmall.res @@ -0,0 +1,3 @@ +Result: +memref<1x2x2x2xf32>[-0.5682361125946045, 1.609342098236084, -0.767340362071991, 0.9262344837188721, -1.273296594619751, 1.2330665588378906, -1.8746027946472168, 3.114832878112793] +74 diff --git a/mlir-assigner/tests/Ops/Onnx/LSTM/LSTMSimple.json b/mlir-assigner/tests/Ops/Onnx/LSTM/LSTMSimple.json new file mode 100644 index 0000000..4b5cdee --- /dev/null +++ b/mlir-assigner/tests/Ops/Onnx/LSTM/LSTMSimple.json @@ -0,0 +1 @@ +[{"memref": {"data": [0.3684234619140625, 0.7128753662109375, 0.4193878173828125, 0.896820068359375, 0.55279541015625, 0.7070465087890625, 0.9892730712890625, 0.855010986328125, 0.6102752685546875, 0.39398193359375], "dims": [1, 1, 10], "type": "f32"}}, {"memref": {"data": [0.847503662109375, 0.4221649169921875, 0.375335693359375, 0.48773193359375, 0.6833343505859375, 0.169769287109375, 0.6094512939453125, 0.24212646484375, 0.3075408935546875, 0.4161224365234375, 0.6598968505859375, 0.0650177001953125, 0.78485107421875, 0.0277252197265625, 0.2313995361328125, 0.7711181640625, 0.042694091796875, 0.5163726806640625, 0.185150146484375, 0.237548828125, 0.055633544921875, 0.8374176025390625, 0.8498687744140625, 0.1093292236328125, 0.8770599365234375, 0.5845489501953125, 0.8313446044921875, 0.2855987548828125, 0.763031005859375, 0.2971649169921875, 0.6662139892578125, 0.038970947265625, 0.6689300537109375, 0.2088470458984375, 0.6194610595703125, 0.54779052734375, 0.7610626220703125, 0.897796630859375, 0.106781005859375, 0.6976470947265625, 0.9066162109375, 0.56805419921875, 0.3556365966796875, 0.2246551513671875, 0.3246612548828125, 0.94879150390625, 0.6334991455078125, 0.40869140625, 0.13665771484375, 0.2743072509765625, 0.415679931640625, 0.961669921875, 0.5782623291015625, 0.378662109375, 0.80609130859375, 0.7813568115234375, 0.22515869140625, 0.9618988037109375, 0.3323822021484375, 0.628631591796875, 0.326995849609375, 0.7314605712890625, 0.2056884765625, 0.329833984375, 0.03082275390625, 0.8293609619140625, 0.1241302490234375, 0.2885589599609375, 0.9042510986328125, 0.235076904296875, 0.828338623046875, 0.1100006103515625, 0.143402099609375, 9.1552734375e-05, 0.88360595703125, 0.16546630859375, 0.7418975830078125, 0.32891845703125, 0.8741455078125, 0.685302734375], "dims": [1, 8, 10], "type": "f32"}}, {"memref": {"data": [0.8645477294921875, 0.1912689208984375, 0.5716705322265625, 0.8424224853515625, 0.710205078125, 0.64483642578125, 0.997161865234375, 0.0774993896484375, 0.5448760986328125, 0.25018310546875, 0.4555816650390625, 0.09637451171875, 0.785369873046875, 0.5171356201171875, 0.5470123291015625, 0.0838165283203125], "dims": [1, 8, 2], "type": "f32"}}] \ No newline at end of file diff --git a/mlir-assigner/tests/Ops/Onnx/LSTM/LSTMSimple.onnx b/mlir-assigner/tests/Ops/Onnx/LSTM/LSTMSimple.onnx new file mode 100644 index 0000000..c0216a0 --- /dev/null +++ b/mlir-assigner/tests/Ops/Onnx/LSTM/LSTMSimple.onnx @@ -0,0 +1,42 @@ + :� +� +in_a +in_b +in_cout_aout_bout_c"LSTM*% + activationsJSigmoidJTanhJTanh�* + direction"forward�* + hidden_size� +LSTMSimpleZ +in_a + + + + +Z +in_b + + + + +Z +in_c + + + +b +out_a + + + + +b +out_b + + + +b +out_c + + + +B \ No newline at end of file diff --git a/mlir-assigner/tests/Ops/Onnx/LSTM/LSTMSimple.res b/mlir-assigner/tests/Ops/Onnx/LSTM/LSTMSimple.res new file mode 100644 index 0000000..1501f62 --- /dev/null +++ b/mlir-assigner/tests/Ops/Onnx/LSTM/LSTMSimple.res @@ -0,0 +1,5 @@ +Result: +memref<1x1x1x2xf32>[0.7145301699638367, 0.6800279021263123] +memref<1x1x2xf32>[0.7145301699638367, 0.6800279021263123] +memref<1x1x2xf32>[0.9366470575332642, 0.8758513927459717] +111 diff --git a/mlir-assigner/tests/Ops/Onnx/RNN/RNNSimple.json b/mlir-assigner/tests/Ops/Onnx/RNN/RNNSimple.json new file mode 100644 index 0000000..db9b9df --- /dev/null +++ b/mlir-assigner/tests/Ops/Onnx/RNN/RNNSimple.json @@ -0,0 +1 @@ +[{"memref": {"data": [0.65252685546875, 0.0736083984375, 0.8104400634765625, 0.7957611083984375, 0.770416259765625, 0.2707061767578125, 0.96295166015625, 0.0800628662109375, 0.9478302001953125, 0.2642059326171875], "dims": [1, 1, 10], "type": "f32"}}, {"memref": {"data": [0.439849853515625, 0.629150390625, 0.71807861328125, 0.0506134033203125, 0.27685546875, 0.582794189453125, 0.982086181640625, 0.1154327392578125, 0.1664276123046875, 0.5259857177734375, 0.0520782470703125, 0.8998260498046875, 0.6036529541015625, 0.804107666015625, 0.0427703857421875, 0.086883544921875, 0.2770843505859375, 0.0444793701171875, 0.5822296142578125, 0.087158203125], "dims": [1, 2, 10], "type": "f32"}}, {"memref": {"data": [0.146820068359375, 0.2771148681640625, 0.47918701171875, 0.0381622314453125], "dims": [1, 2, 2], "type": "f32"}}] \ No newline at end of file diff --git a/mlir-assigner/tests/Ops/Onnx/RNN/RNNSimple.onnx b/mlir-assigner/tests/Ops/Onnx/RNN/RNNSimple.onnx new file mode 100644 index 0000000..2fd09d5 --- /dev/null +++ b/mlir-assigner/tests/Ops/Onnx/RNN/RNNSimple.onnx @@ -0,0 +1,36 @@ + :� +j +in_a +in_b +in_cout_aout_b"RNN* + activationsJTanh�* + direction"forward�* + hidden_size� RNNSimpleZ +in_a + + + + +Z +in_b + + + + +Z +in_c + + + +b +out_a + + + + +b +out_b + + + +B \ No newline at end of file diff --git a/mlir-assigner/tests/Ops/Onnx/RNN/RNNSimple.res b/mlir-assigner/tests/Ops/Onnx/RNN/RNNSimple.res new file mode 100644 index 0000000..4e716be --- /dev/null +++ b/mlir-assigner/tests/Ops/Onnx/RNN/RNNSimple.res @@ -0,0 +1,4 @@ +Result: +memref<1x1x1x2xf32>[0.9885429739952087, 0.9722064733505249] +memref<1x1x2xf32>[0.9885429739952087, 0.9722064733505249] +38 diff --git a/mlir-assigner/tests/Ops/NeedsBlueprintComponent/Tanh/TanhSimple.json b/mlir-assigner/tests/Ops/Onnx/Tanh/TanhSimple.json similarity index 100% rename from mlir-assigner/tests/Ops/NeedsBlueprintComponent/Tanh/TanhSimple.json rename to mlir-assigner/tests/Ops/Onnx/Tanh/TanhSimple.json diff --git a/mlir-assigner/tests/Ops/NeedsBlueprintComponent/Tanh/TanhSimple.onnx b/mlir-assigner/tests/Ops/Onnx/Tanh/TanhSimple.onnx similarity index 100% rename from mlir-assigner/tests/Ops/NeedsBlueprintComponent/Tanh/TanhSimple.onnx rename to mlir-assigner/tests/Ops/Onnx/Tanh/TanhSimple.onnx diff --git a/mlir-assigner/tests/Ops/NeedsBlueprintComponent/Tanh/TanhSimple.res b/mlir-assigner/tests/Ops/Onnx/Tanh/TanhSimple.res similarity index 93% rename from mlir-assigner/tests/Ops/NeedsBlueprintComponent/Tanh/TanhSimple.res rename to mlir-assigner/tests/Ops/Onnx/Tanh/TanhSimple.res index e4719de..67cbf78 100644 --- a/mlir-assigner/tests/Ops/NeedsBlueprintComponent/Tanh/TanhSimple.res +++ b/mlir-assigner/tests/Ops/Onnx/Tanh/TanhSimple.res @@ -1,3 +1,3 @@ Result: memref<1x10xf32>[0.35206401348114014, 0.4234505593776703, 0.4000608026981354, 0.6560736894607544, 0.6736595630645752, 0.37927767634391785, 0.21286578476428986, 0.13455499708652496, 0.4841194152832031, 0.4809940755367279] -ADD THE ROWS HERE \ No newline at end of file +50 diff --git a/mlir-assigner/tests/Ops/Problematic/BatchNormalization/BatchNormalizationSimple.json b/mlir-assigner/tests/Ops/Problematic/BatchNormalization/BatchNormalizationSimple.json new file mode 100644 index 0000000..4db7330 --- /dev/null +++ b/mlir-assigner/tests/Ops/Problematic/BatchNormalization/BatchNormalizationSimple.json @@ -0,0 +1 @@ +[{"memref": {"data": [0.700103759765625, 0.2248382568359375, 0.4392547607421875, 0.446197509765625, 0.5702056884765625, 0.3891143798828125, 0.6938629150390625, 0.342132568359375, 0.64263916015625, 0.7079010009765625, 0.6808319091796875, 0.520751953125, 0.1697235107421875, 0.8433990478515625, 0.57952880859375, 0.314697265625, 0.1252288818359375, 0.1658172607421875, 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0.9611968994140625, 0.69989013671875, 0.9351959228515625, 0.235595703125, 0.09765625], "dims": [8], "type": "f32"}}] \ No newline at end of file diff --git a/mlir-assigner/tests/Ops/Problematic/BatchNormalization/BatchNormalizationSimple.mlir b/mlir-assigner/tests/Ops/Problematic/BatchNormalization/BatchNormalizationSimple.mlir new file mode 100644 index 0000000..2d936e1 --- /dev/null +++ b/mlir-assigner/tests/Ops/Problematic/BatchNormalization/BatchNormalizationSimple.mlir @@ -0,0 +1,57 @@ +module attributes {llvm.data_layout = "e-m:e-p270:32:32-p271:32:32-p272:64:64-i64:64-f80:128-n8:16:32:64-S128", llvm.target_triple = "x86_64-pc-linux-gnu", "onnx-mlir.symbol-postfix" = "batchnormalizationsimple.mlir"} { + func.func @main_graph(%arg0: memref<1x8x32x32xf32>, %arg1: memref<8xf32>, %arg2: memref<8xf32>) -> memref<1x8x32x32xf32> attributes {input_names = ["in_a", "in_d", "in_e"], llvm.emit_c_interface, output_names = ["out_a"]} { + %c0 = arith.constant 0 : index + %0 = "krnl.global"() {name = "constant_1", shape = [1], value = dense<9.99999974E-6> : tensor<1xf32>} : () -> memref<1xf32> + %1 = "krnl.global"() {name = "constant_2", shape = [8], value = dense<[1.000000e+00, 2.000000e+00, 1.000000e+00, 2.000000e+00, 1.000000e+00, 2.000000e+00, 1.000000e+00, 2.000000e+00]> : tensor<8xf32>} : () -> memref<8xf32> + %2 = "krnl.global"() {name = "constant_3", shape = [8], value = dense<[0.000000e+00, 0.000000e+00, 1.000000e-01, 1.000000e-01, 2.000000e-01, 2.000000e-01, 3.000000e-01, 3.000000e-01]> : tensor<8xf32>} : () -> memref<8xf32> + %alloc = memref.alloc() {alignment = 16 : i64} : memref<8xf32> + affine.for %arg3 = 0 to 8 { + %3 = affine.load %arg2[%arg3] : memref<8xf32> + %4 = affine.load %0[%c0] : memref<1xf32> + %5 = arith.addf %3, %4 : f32 + %6 = math.sqrt %5 : f32 + %7 = affine.load %1[%arg3] : memref<8xf32> + %8 = arith.divf %7, %6 : f32 + affine.store %8, %alloc[%arg3] : memref<8xf32> + } + %reinterpret_cast = memref.reinterpret_cast %alloc to offset: [0], sizes: [8, 1, 1], strides: [1, 1, 1] : memref<8xf32> to memref<8x1x1xf32> + %alloc_0 = memref.alloc() {alignment = 16 : i64} : memref<1x8x32x32xf32> + affine.for %arg3 = 0 to 1 { + affine.for %arg4 = 0 to 8 { + affine.for %arg5 = 0 to 32 { + affine.for %arg6 = 0 to 32 { + %3 = affine.load %arg0[%c0, %arg4, %arg5, %arg6] : memref<1x8x32x32xf32> + %4 = affine.load %reinterpret_cast[%arg4, %c0, %c0] : memref<8x1x1xf32> + %5 = arith.mulf %3, %4 : f32 + affine.store %5, %alloc_0[%arg3, %arg4, %arg5, %arg6] : memref<1x8x32x32xf32> + } + } + } + } + %alloc_1 = memref.alloc() {alignment = 16 : i64} : memref<8xf32> + affine.for %arg3 = 0 to 8 { + %3 = affine.load %arg1[%arg3] : memref<8xf32> + %4 = affine.load %alloc[%arg3] : memref<8xf32> + %5 = arith.mulf %3, %4 : f32 + %6 = affine.load %2[%arg3] : memref<8xf32> + %7 = arith.subf %6, %5 : f32 + affine.store %7, %alloc_1[%arg3] : memref<8xf32> + } + %reinterpret_cast_2 = memref.reinterpret_cast %alloc_1 to offset: [0], sizes: [8, 1, 1], strides: [1, 1, 1] : memref<8xf32> to memref<8x1x1xf32> + %alloc_3 = memref.alloc() {alignment = 16 : i64} : memref<1x8x32x32xf32> + affine.for %arg3 = 0 to 1 { + affine.for %arg4 = 0 to 8 { + affine.for %arg5 = 0 to 32 { + affine.for %arg6 = 0 to 32 { + %3 = affine.load %alloc_0[%c0, %arg4, %arg5, %arg6] : memref<1x8x32x32xf32> + %4 = affine.load %reinterpret_cast_2[%arg4, %c0, %c0] : memref<8x1x1xf32> + %5 = arith.addf %3, %4 : f32 + affine.store %5, %alloc_3[%arg3, %arg4, %arg5, %arg6] : memref<1x8x32x32xf32> + } + } + } + } + return %alloc_3 : memref<1x8x32x32xf32> + } + "krnl.entry_point"() {func = @main_graph, numInputs = 3 : i32, numOutputs = 1 : i32, signature = "[ { \22type\22 : \22f32\22 , \22dims\22 : [1 , 8 , 32 , 32] , \22name\22 : \22in_a\22 }\0A , { \22type\22 : \22f32\22 , \22dims\22 : [8] , \22name\22 : \22in_d\22 }\0A , { \22type\22 : \22f32\22 , \22dims\22 : [8] , \22name\22 : \22in_e\22 }\0A\0A]\00@[ { \22type\22 : \22f32\22 , \22dims\22 : [1 , 8 , 32 , 32] , \22name\22 : \22out_a\22 }\0A\0A]\00"} : () -> () +} diff --git a/mlir-assigner/tests/Ops/Problematic/BatchNormalization/BatchNormalizationSimple.onnx b/mlir-assigner/tests/Ops/Problematic/BatchNormalization/BatchNormalizationSimple.onnx new file mode 100644 index 0000000..0e598b3 Binary files /dev/null and b/mlir-assigner/tests/Ops/Problematic/BatchNormalization/BatchNormalizationSimple.onnx differ diff --git a/mlir-assigner/tests/Ops/Problematic/BatchNormalization/BatchNormalizationSimple.res b/mlir-assigner/tests/Ops/Problematic/BatchNormalization/BatchNormalizationSimple.res new file mode 100644 index 0000000..b065e3e --- /dev/null +++ b/mlir-assigner/tests/Ops/Problematic/BatchNormalization/BatchNormalizationSimple.res @@ -0,0 +1,3 @@ +Result: +memref<1x8x32x32xf32>[-94.83552551269531, -245.127685546875, -177.32322692871094, -175.1277313232422, -135.91290283203125, -193.17901611328125, -96.80905151367188, -208.03594970703125, -113.00743103027344, -92.36981201171875, -100.92982482910156, 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0.9633941650390625, 0.3932647705078125, 0.7530517578125, 0.2896575927734375, 0.05987548828125, 0.8629150390625, 0.7353973388671875, 0.120941162109375, 0.784942626953125, 0.3748016357421875, 0.6924896240234375, 0.6902923583984375, 0.524322509765625, 0.1278533935546875, 0.465423583984375, 0.04022216796875], "dims": [1, 8, 2, 2], "type": "f32"}}, {"memref": {"data": [0.3447113037109375, 0.9159393310546875, 0.3950653076171875, 0.8951873779296875, 0.85614013671875, 0.0800933837890625, 0.7608489990234375, 0.8953094482421875], "dims": [8], "type": "f32"}}, {"memref": {"data": [0.2246551513671875, 0.185028076171875, 0.403045654296875, 0.13800048828125, 0.563018798828125, 0.2869720458984375, 0.4274139404296875, 0.0641021728515625], "dims": [8], "type": "f32"}}] diff --git a/mlir-assigner/tests/Ops/Problematic/BatchNormalization/BatchNormalizationSmall.mlir b/mlir-assigner/tests/Ops/Problematic/BatchNormalization/BatchNormalizationSmall.mlir new file mode 100644 index 0000000..14ebeb8 --- /dev/null +++ b/mlir-assigner/tests/Ops/Problematic/BatchNormalization/BatchNormalizationSmall.mlir @@ -0,0 +1,57 @@ +module attributes {llvm.data_layout = "e-m:e-p270:32:32-p271:32:32-p272:64:64-i64:64-f80:128-n8:16:32:64-S128", llvm.target_triple = "x86_64-pc-linux-gnu", "onnx-mlir.symbol-postfix" = "batchnormalizationsmall.mlir"} { + func.func @main_graph(%arg0: memref<1x8x2x2xf32>, %arg1: memref<8xf32>, %arg2: memref<8xf32>) -> memref<1x8x2x2xf32> attributes {input_names = ["in_a", "in_d", "in_e"], llvm.emit_c_interface, output_names = ["out_a"]} { + %c0 = arith.constant 0 : index + %0 = "krnl.global"() {name = "constant_1", shape = [1], value = dense<9.99999974E-6> : tensor<1xf32>} : () -> memref<1xf32> + %1 = "krnl.global"() {name = "constant_2", shape = [8], value = dense<[1.000000e+00, 2.000000e+00, 1.000000e+00, 2.000000e+00, 1.000000e+00, 2.000000e+00, 1.000000e+00, 2.000000e+00]> : tensor<8xf32>} : () -> memref<8xf32> + %2 = "krnl.global"() {name = "constant_3", shape = [8], value = dense<[0.000000e+00, 0.000000e+00, 1.000000e-01, 1.000000e-01, 2.000000e-01, 2.000000e-01, 3.000000e-01, 3.000000e-01]> : tensor<8xf32>} : () -> memref<8xf32> + %alloc = memref.alloc() {alignment = 16 : i64} : memref<8xf32> + affine.for %arg3 = 0 to 8 { + %3 = affine.load %arg2[%arg3] : memref<8xf32> + %4 = affine.load %0[%c0] : memref<1xf32> + %5 = arith.addf %3, %4 : f32 + %6 = math.sqrt %5 : f32 + %7 = affine.load %1[%arg3] : memref<8xf32> + %8 = arith.divf %7, %6 : f32 + affine.store %8, %alloc[%arg3] : memref<8xf32> + } + %reinterpret_cast = memref.reinterpret_cast %alloc to offset: [0], sizes: [8, 1, 1], strides: [1, 1, 1] : memref<8xf32> to memref<8x1x1xf32> + %alloc_0 = memref.alloc() {alignment = 16 : i64} : memref<1x8x2x2xf32> + affine.for %arg3 = 0 to 1 { + affine.for %arg4 = 0 to 8 { + affine.for %arg5 = 0 to 2 { + affine.for %arg6 = 0 to 2 { + %3 = affine.load %arg0[%c0, %arg4, %arg5, %arg6] : memref<1x8x2x2xf32> + %4 = affine.load %reinterpret_cast[%arg4, %c0, %c0] : memref<8x1x1xf32> + %5 = arith.mulf %3, %4 : f32 + affine.store %5, %alloc_0[%arg3, %arg4, %arg5, %arg6] : memref<1x8x2x2xf32> + } + } + } + } + %alloc_1 = memref.alloc() {alignment = 16 : i64} : memref<8xf32> + affine.for %arg3 = 0 to 8 { + %3 = affine.load %arg1[%arg3] : memref<8xf32> + %4 = affine.load %alloc[%arg3] : memref<8xf32> + %5 = arith.mulf %3, %4 : f32 + %6 = affine.load %2[%arg3] : memref<8xf32> + %7 = arith.subf %6, %5 : f32 + affine.store %7, %alloc_1[%arg3] : memref<8xf32> + } + %reinterpret_cast_2 = memref.reinterpret_cast %alloc_1 to offset: [0], sizes: [8, 1, 1], strides: [1, 1, 1] : memref<8xf32> to memref<8x1x1xf32> + %alloc_3 = memref.alloc() {alignment = 16 : i64} : memref<1x8x2x2xf32> + affine.for %arg3 = 0 to 1 { + affine.for %arg4 = 0 to 8 { + affine.for %arg5 = 0 to 2 { + affine.for %arg6 = 0 to 2 { + %3 = affine.load %alloc_0[%c0, %arg4, %arg5, %arg6] : memref<1x8x2x2xf32> + %4 = affine.load %reinterpret_cast_2[%arg4, %c0, %c0] : memref<8x1x1xf32> + %5 = arith.addf %3, %4 : f32 + affine.store %5, %alloc_3[%arg3, %arg4, %arg5, %arg6] : memref<1x8x2x2xf32> + } + } + } + } + return %alloc_3 : memref<1x8x2x2xf32> + } + "krnl.entry_point"() {func = @main_graph, numInputs = 3 : i32, numOutputs = 1 : i32, signature = "[ { \22type\22 : \22f32\22 , \22dims\22 : [1 , 8 , 2 , 2] , \22name\22 : \22in_a\22 }\0A , { \22type\22 : \22f32\22 , \22dims\22 : [8] , \22name\22 : \22in_d\22 }\0A , { \22type\22 : \22f32\22 , \22dims\22 : [8] , \22name\22 : \22in_e\22 }\0A\0A]\00@[ { \22type\22 : \22f32\22 , \22dims\22 : [1 , 8 , 2 , 2] , \22name\22 : \22out_a\22 }\0A\0A]\00"} : () -> () +} diff --git a/mlir-assigner/tests/Ops/Problematic/BatchNormalization/BatchNormalizationSmall.onnx b/mlir-assigner/tests/Ops/Problematic/BatchNormalization/BatchNormalizationSmall.onnx new file mode 100644 index 0000000..ce4d68e Binary files /dev/null and b/mlir-assigner/tests/Ops/Problematic/BatchNormalization/BatchNormalizationSmall.onnx differ diff --git a/mlir-assigner/tests/Ops/Problematic/BatchNormalization/BatchNormalizationSmall.res b/mlir-assigner/tests/Ops/Problematic/BatchNormalization/BatchNormalizationSmall.res new file mode 100644 index 0000000..2a1131b --- /dev/null +++ b/mlir-assigner/tests/Ops/Problematic/BatchNormalization/BatchNormalizationSmall.res @@ -0,0 +1,3 @@ +Result: +memref<1x8x2x2xf32>[-86.43475341796875, -12.0341796875, -268.3033752441406, -40.387359619140625, -861.1532592773438, -852.8441772460938, -1145.9493408203125, -1026.39892578125, -1.3276727199554443, -2.660968065261841, -2.3170411586761475, -2.6623191833496094, -11.858404159545898, -10.508365631103516, -9.955612182617188, -12.408937454223633, 0.1181490421295166, -1.1566673517227173, -0.35217928886413574, -1.3883342742919922, -8.47628402709961, -4.885071754455566, -5.455334186553955, -8.203197479248047, -0.09263265132904053, -0.8414316773414612, -0.2614251375198364, -0.26543664932250977, -5.088322162628174, -6.535998344421387, -5.30338716506958, -6.8559770584106445] +ADD THE ROWS HERE \ No newline at end of file diff --git a/mlir-assigner/tests/Ops/Problematic/BatchNormalization/README.txt b/mlir-assigner/tests/Ops/Problematic/BatchNormalization/README.txt new file mode 100644 index 0000000..efc059e --- /dev/null +++ b/mlir-assigner/tests/Ops/Problematic/BatchNormalization/README.txt @@ -0,0 +1,2 @@ +I don't know why the result from the script has those values. +When I compute by hand, I get the same result as mlir-assigner. Maybe train mode on? Also maybe put into llvm assigner and check whether we get same result?? diff --git a/mlir-assigner/tests/Ops/Problematic/Einsum/EinsumInnerProd.json b/mlir-assigner/tests/Ops/Problematic/Einsum/EinsumInnerProd.json new file mode 100644 index 0000000..fd03593 --- /dev/null +++ b/mlir-assigner/tests/Ops/Problematic/Einsum/EinsumInnerProd.json @@ -0,0 +1 @@ +[{"memref": {"data": [0.0347747802734375, 0.4170684814453125, 0.787994384765625, 0.239959716796875, 0.0882110595703125], "dims": [5], "type": "f32"}}, {"memref": {"data": [0.4361572265625, 0.0735931396484375, 0.562652587890625, 0.311737060546875, 0.0066070556640625], "dims": [5], "type": "f32"}}] \ No newline at end of file diff --git a/mlir-assigner/tests/Ops/Problematic/Einsum/EinsumInnerProd.mlir b/mlir-assigner/tests/Ops/Problematic/Einsum/EinsumInnerProd.mlir new file mode 100644 index 0000000..c3e54ec --- /dev/null +++ b/mlir-assigner/tests/Ops/Problematic/Einsum/EinsumInnerProd.mlir @@ -0,0 +1,26 @@ +module attributes {llvm.data_layout = "e-m:e-p270:32:32-p271:32:32-p272:64:64-i64:64-f80:128-n8:16:32:64-S128", llvm.target_triple = "x86_64-pc-linux-gnu", "onnx-mlir.symbol-postfix" = "einsuminnerprod.mlir"} { + func.func @main_graph(%arg0: memref<5xf32>, %arg1: memref<5xf32>) -> memref attributes {input_names = ["in_a", "in_b"], llvm.emit_c_interface, output_names = ["out_a"]} { + %reinterpret_cast = memref.reinterpret_cast %arg0 to offset: [0], sizes: [1, 5], strides: [5, 1] : memref<5xf32> to memref<1x5xf32> + %reinterpret_cast_0 = memref.reinterpret_cast %arg1 to offset: [0], sizes: [5, 1], strides: [1, 1] : memref<5xf32> to memref<5x1xf32> + %alloc = memref.alloc() {alignment = 16 : i64} : memref<1x1xf32> + %alloc_1 = memref.alloc() : memref<5xf32> + %alloc_2 = memref.alloc() : memref<5xf32> + affine.for %arg2 = 0 to 1 { + affine.for %arg3 = 0 to 1 { + affine.for %arg4 = 0 to 5 { + %1 = affine.load %reinterpret_cast[%arg2, %arg4] : memref<1x5xf32> + %2 = affine.load %reinterpret_cast_0[%arg4, %arg3] : memref<5x1xf32> + affine.store %1, %alloc_1[%arg4] : memref<5xf32> + affine.store %2, %alloc_2[%arg4] : memref<5xf32> + } + %0 = "zkML.dot-product"(%alloc_1, %alloc_2) : (memref<5xf32>, memref<5xf32>) -> f32 + affine.store %0, %alloc[%arg2, %arg3] : memref<1x1xf32> + } + } + memref.dealloc %alloc_1 : memref<5xf32> + memref.dealloc %alloc_2 : memref<5xf32> + %reinterpret_cast_3 = memref.reinterpret_cast %alloc to offset: [0], sizes: [], strides: [] : memref<1x1xf32> to memref + return %reinterpret_cast_3 : memref + } + "krnl.entry_point"() {func = @main_graph, numInputs = 2 : i32, numOutputs = 1 : i32, signature = "[ { \22type\22 : \22f32\22 , \22dims\22 : [5] , \22name\22 : \22in_a\22 }\0A , { \22type\22 : \22f32\22 , \22dims\22 : [5] , \22name\22 : \22in_b\22 }\0A\0A]\00@[ { \22type\22 : \22f32\22 , \22dims\22 : [] , \22name\22 : \22out_a\22 }\0A\0A]\00"} : () -> () +} diff --git a/mlir-assigner/tests/Ops/Problematic/Einsum/EinsumInnerProd.onnx b/mlir-assigner/tests/Ops/Problematic/Einsum/EinsumInnerProd.onnx new file mode 100644 index 0000000..b47cb59 Binary files /dev/null and b/mlir-assigner/tests/Ops/Problematic/Einsum/EinsumInnerProd.onnx differ diff --git a/mlir-assigner/tests/Ops/Problematic/Einsum/EinsumSimple.json b/mlir-assigner/tests/Ops/Problematic/Einsum/EinsumSimple.json new file mode 100644 index 0000000..b3840f6 --- /dev/null +++ b/mlir-assigner/tests/Ops/Problematic/Einsum/EinsumSimple.json @@ -0,0 +1 @@ +[{"memref": {"data": [0.6128387451171875, 0.1035003662109375, 0.873260498046875, 0.59619140625, 0.4374847412109375, 0.23828125, 0.1722869873046875, 0.1845550537109375, 0.0517425537109375, 0.72930908203125, 0.0628509521484375, 0.0171661376953125], "dims": [1, 3, 4], "type": "f32"}}, {"memref": {"data": [0.8438568115234375, 0.906829833984375, 0.7076263427734375, 0.112945556640625, 0.6533660888671875, 0.005523681640625, 0.539764404296875, 0.4152069091796875, 0.1634674072265625, 0.6858062744140625, 0.23675537109375, 0.681060791015625, 0.3037109375, 0.1006927490234375, 0.5829925537109375, 0.8340301513671875, 0.266876220703125, 0.967376708984375, 0.9199066162109375, 0.30657958984375, 0.198883056640625, 0.0484161376953125, 0.2684173583984375, 0.211700439453125], "dims": [1, 4, 6], "type": "f32"}}] \ No newline at end of file diff --git a/mlir-assigner/tests/Ops/Problematic/Einsum/EinsumSimple.onnx b/mlir-assigner/tests/Ops/Problematic/Einsum/EinsumSimple.onnx new file mode 100644 index 0000000..83b119e --- /dev/null +++ b/mlir-assigner/tests/Ops/Problematic/Einsum/EinsumSimple.onnx @@ -0,0 +1,20 @@ + :� +; +in_a +in_bout_a"Einsum* +equation"bij, bjk -> bik� EinsumSimpleZ +in_a + + + +Z +in_b + + + +b +out_a + + + +B \ No newline at end of file diff --git a/mlir-assigner/tests/Ops/Problematic/Einsum/EinsumSimple.res b/mlir-assigner/tests/Ops/Problematic/Einsum/EinsumSimple.res new file mode 100644 index 0000000..1479fca --- /dev/null +++ b/mlir-assigner/tests/Ops/Problematic/Einsum/EinsumSimple.res @@ -0,0 +1,3 @@ +Result: +memref<1x3x6xf32>[1.3866732120513916, 0.8694256544113159, 1.0782564878463745, 0.8973894715309143, 0.8179929256439209, 1.044861078262329, 0.7198890447616577, 0.5695891380310059, 0.48567384481430054, 0.3654547333717346, 0.4377691149711609, 0.370437353849411, 0.47219812870025635, 0.36132729053497314, 0.19588835537433624, 0.5592595934867859, 0.22785578668117523, 0.5614242553710938] +ADD THE ROWS HERE \ No newline at end of file diff --git a/mlir-assigner/tests/Ops/Problematic/Einsum/EinsumSum.json b/mlir-assigner/tests/Ops/Problematic/Einsum/EinsumSum.json new file mode 100644 index 0000000..b4024e3 --- /dev/null +++ b/mlir-assigner/tests/Ops/Problematic/Einsum/EinsumSum.json @@ -0,0 +1 @@ +[{"memref": {"data": [0.78106689453125, 0.72314453125, 0.8937530517578125, 0.323822021484375, 0.996337890625, 0.5211029052734375, 0.283172607421875, 0.2689666748046875, 0.2173919677734375, 0.9206695556640625, 0.6438140869140625, 0.718505859375, 0.4782257080078125, 0.70831298828125, 0.99298095703125], "dims": [3, 5], "type": "f32"}}] \ No newline at end of file diff --git a/mlir-assigner/tests/Ops/Problematic/Einsum/EinsumSum.onnx b/mlir-assigner/tests/Ops/Problematic/Einsum/EinsumSum.onnx new file mode 100644 index 0000000..c22c2b7 --- /dev/null +++ b/mlir-assigner/tests/Ops/Problematic/Einsum/EinsumSum.onnx @@ -0,0 +1,12 @@ + :g +- +in_aout_a"Einsum* +equation"ij -> i� EinsumSumZ +in_a +  + +b +out_a + + +B \ No newline at end of file diff --git a/mlir-assigner/tests/Ops/Problematic/Einsum/EinsumSum.res b/mlir-assigner/tests/Ops/Problematic/Einsum/EinsumSum.res new file mode 100644 index 0000000..68a861d --- /dev/null +++ b/mlir-assigner/tests/Ops/Problematic/Einsum/EinsumSum.res @@ -0,0 +1,3 @@ +Result: +memref<3xf32>[3.7181243896484375, 2.2113037109375, 3.541839599609375] +ADD THE ROWS HERE \ No newline at end of file diff --git a/mlir-assigner/tests/Ops/Problematic/TopK/TopKSimple.json b/mlir-assigner/tests/Ops/Problematic/TopK/TopKSimple.json new file mode 100644 index 0000000..081d390 --- /dev/null +++ b/mlir-assigner/tests/Ops/Problematic/TopK/TopKSimple.json @@ -0,0 +1 @@ +[{"memref": {"data": [0.1582183837890625, 0.092864990234375, 0.1523895263671875, 0.9768524169921875, 0.5053863525390625, 0.7670135498046875, 0.7446136474609375, 0.6649017333984375, 0.92999267578125, 0.1823272705078125], "dims": [1, 10], "type": "f32"}}] \ No newline at end of file diff --git a/mlir-assigner/tests/Ops/Problematic/TopK/TopKSimple.mlir b/mlir-assigner/tests/Ops/Problematic/TopK/TopKSimple.mlir new file mode 100644 index 0000000..5a1dcab --- /dev/null +++ b/mlir-assigner/tests/Ops/Problematic/TopK/TopKSimple.mlir @@ -0,0 +1,26 @@ +module attributes {llvm.data_layout = "e-m:e-p270:32:32-p271:32:32-p272:64:64-i64:64-f80:128-n8:16:32:64-S128", llvm.target_triple = "x86_64-pc-linux-gnu", "onnx-mlir.symbol-postfix" = "topksimple.mlir"} { + func.func @main_graph(%arg0: memref<1x10xf32>) -> (memref<1x3xf32>, memref<1x3xi64>) attributes {input_names = ["in_a"], llvm.emit_c_interface, output_names = ["out_a", "out_b"]} { + %c0_i64 = arith.constant 0 : i64 + %c1_i64 = arith.constant 1 : i64 + %alloc = memref.alloc() {alignment = 16 : i64} : memref<1x3xf32> + %alloc_0 = memref.alloc() {alignment = 16 : i64} : memref<1x3xi64> + %alloc_1 = memref.alloc() {alignment = 16 : i64} : memref<1x10xindex> + affine.for %arg1 = 0 to 1 { + affine.for %arg2 = 0 to 10 { + affine.store %arg2, %alloc_1[%arg1, %arg2] : memref<1x10xindex> + } + } + "krnl.call"(%alloc_1, %arg0, %c1_i64, %c0_i64) {funcName = "omTensorSort", numOfOutput = 1 : si64} : (memref<1x10xindex>, memref<1x10xf32>, i64, i64) -> () + affine.for %arg1 = 0 to 1 { + affine.for %arg2 = 0 to 3 { + %0 = affine.load %alloc_1[%arg1, %arg2] : memref<1x10xindex> + %1 = memref.load %arg0[%arg1, %0] : memref<1x10xf32> + affine.store %1, %alloc[%arg1, %arg2] : memref<1x3xf32> + %2 = arith.index_cast %0 : index to i64 + affine.store %2, %alloc_0[%arg1, %arg2] : memref<1x3xi64> + } + } + return %alloc, %alloc_0 : memref<1x3xf32>, memref<1x3xi64> + } + "krnl.entry_point"() {func = @main_graph, numInputs = 1 : i32, numOutputs = 2 : i32, signature = "[ { \22type\22 : \22f32\22 , \22dims\22 : [1 , 10] , \22name\22 : \22in_a\22 }\0A\0A]\00@[ { \22type\22 : \22f32\22 , \22dims\22 : [1 , 3] , \22name\22 : \22out_a\22 }\0A , { \22type\22 : \22i64\22 , \22dims\22 : [1 , 3] , \22name\22 : \22out_b\22 }\0A\0A]\00"} : () -> () +} diff --git a/mlir-assigner/tests/Ops/Problematic/TopK/TopKSimple.onnx b/mlir-assigner/tests/Ops/Problematic/TopK/TopKSimple.onnx new file mode 100644 index 0000000..3a5a68a Binary files /dev/null and b/mlir-assigner/tests/Ops/Problematic/TopK/TopKSimple.onnx differ diff --git a/mlir-assigner/tests/Ops/Problematic/TopK/TopKSimple.res b/mlir-assigner/tests/Ops/Problematic/TopK/TopKSimple.res new file mode 100644 index 0000000..855315c --- /dev/null +++ b/mlir-assigner/tests/Ops/Problematic/TopK/TopKSimple.res @@ -0,0 +1,3 @@ +Result: +memref<1x3xint>[3, 8, 5] +ADD THE ROWS HERE \ No newline at end of file diff --git a/mlir-assigner/tests/run.py b/mlir-assigner/tests/run.py index b8a29d0..ee1d316 100644 --- a/mlir-assigner/tests/run.py +++ b/mlir-assigner/tests/run.py @@ -32,19 +32,22 @@ def assert_output(should_output, is_output): is_lines = is_output.splitlines() if len(is_lines) < 3: return False, "Output incomplete got less than 3 lines" - ziped = zip(should_output.splitlines(), is_lines) - #1 First Line Result + should_lines = should_output.splitlines() + amount_results = len(should_lines) - 2 + ziped = zip(should_lines, is_lines) s,i = next(ziped) if s != i: return False, "Cannot get Result (First Line does not match) " - s,i = next(ziped) - memref_index = s.find('[') - if s[0: memref_index] != i[0: memref_index]: - return False, "Type mismatch (should={}; is={})".format(s[0: memref_index], i[0: memref_index]) - s_values = ast.literal_eval(s[memref_index:]) - i_values = ast.literal_eval(i[memref_index:]) - if any(filter(lambda a: a >= MAX_DELTA, map(lambda a: abs(a[0]-a[1]), zip(s_values, i_values)))): - return False, "Values diverge more than > {}".format(MAX_DELTA) + #1 First Line Result + for _ in range(0, amount_results): + s,i = next(ziped) + memref_index = s.find('[') + if s[0: memref_index] != i[0: memref_index]: + return False, "Type mismatch (should={}; is={})".format(s[0: memref_index], i[0: memref_index]) + s_values = ast.literal_eval(s[memref_index:]) + i_values = ast.literal_eval(i[memref_index:]) + if any(filter(lambda a: a >= MAX_DELTA, map(lambda a: abs(a[0]-a[1]), zip(s_values, i_values)))): + return False, "Values diverge more than > {}".format(MAX_DELTA) s,i = next(ziped) s = s.replace("rows", "").strip() i = i.replace("rows", "").strip()