| /* |
| * Copyright (c) 2023-2024 Arm Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| |
| #include "src/cl/CLKernelWriter.h" |
| |
| #include "ckw/Error.h" |
| #include "ckw/Kernel.h" |
| #include "ckw/TensorSampler.h" |
| #include "ckw/TileOperand.h" |
| #include "ckw/types/DataType.h" |
| #include "ckw/types/MemoryOperation.h" |
| #include "ckw/types/TargetLanguage.h" |
| |
| #include "src/cl/CLHelpers.h" |
| #include "src/cl/CLTensorArgument.h" |
| #include "src/cl/CLTile.h" |
| #include "src/cl/helpers/CLMemoryOpBufferHelper.h" |
| #include "src/cl/helpers/CLMemoryOpImage2dHelper.h" |
| #include "src/cl/helpers/ICLMemoryOpHelper.h" |
| #include "src/ITensorComponent.h" |
| #include "src/TileView.h" |
| #include "src/types/DataTypeHelpers.h" |
| |
| #include <algorithm> |
| #include <cstdint> |
| #include <tuple> |
| #include <vector> |
| |
| namespace |
| { |
| std::string generate_cl_extensions() |
| { |
| std::string ext = R"( |
| #if defined(cl_khr_fp16) |
| #pragma OPENCL EXTENSION cl_khr_fp16 : enable |
| #endif // defined(cl_khr_fp16) |
| |
| #if defined(cl_arm_printf) |
| #pragma OPENCL EXTENSION cl_arm_printf : enable |
| #endif // defined(cl_arm_printf); |
| |
| #define inf (INFINITY) |
| )"; |
| return ext; |
| } |
| } // namespace |
| |
| namespace ckw |
| { |
| |
| CLKernelWriter::CLKernelWriter() = default; |
| CLKernelWriter::~CLKernelWriter() = default; |
| |
| std::unique_ptr<Kernel> CLKernelWriter::emit_kernel(const std::string &name) |
| { |
| std::string code; |
| code += generate_cl_extensions(); |
| code += "__kernel void "; |
| code += name; |
| code += "\n(\n"; |
| |
| // Create the list of arguments. |
| std::vector<KernelArgument> arguments; |
| |
| for (const auto &tensor : _tensors) |
| { |
| const auto tensor_id = tensor->info().id(); |
| |
| const auto storages = tensor->storages(); |
| const auto components = tensor->components(); |
| |
| for (const auto &storage : storages) |
| { |
| code += cl_get_variable_storagetype_as_string(storage.type); |
| code += " "; |
| code += storage.val; |
| code += ",\n"; |
| |
| arguments.emplace_back(tensor_id, storage.type); |
| } |
| |
| for (const auto &component : components) |
| { |
| const auto &tile = component->tile(); |
| const auto &tile_info = tile.info(); |
| |
| CKW_ASSERT(tile.is_scalar()); |
| |
| code += cl_get_variable_datatype_as_string(tile_info.data_type(), 1); |
| code += " "; |
| code += tile.name(); |
| code += ",\n"; |
| |
| arguments.emplace_back(tensor_id, component->component_type()); |
| } |
| } |
| |
| if (code.size() >= 2 && code[code.size() - 2] == ',' && code[code.size() - 1] == '\n') |
| { |
| // Remove the last comma in the argument list. |
| code.pop_back(); |
| code[code.size() - 1] = '\n'; |
| } |
| |
| code += ")\n{\n"; |
| |
| code += _body_source_code; |
| |
| code += "}\n"; |
| |
| return std::make_unique<Kernel>(TargetLanguage::OpenCL, arguments, code); |
| } |
| |
| void CLKernelWriter::op_assign(const TileOperand &dst, const TileOperand &src) |
| { |
| const auto dst_view = to_cl_tile_view(dst); |
| const auto src_view = to_cl_tile_view(src); |
| |
| const auto dst_w = dst_view.width(); |
| const auto dst_h = dst_view.height(); |
| const auto src_w = src_view.width(); |
| |
| const auto data_type_str = cl_get_variable_datatype_as_string(dst_view.data_type(), dst_w); |
| |
| const auto broadcast_src_x = dst_w != 1 && src_w == 1; |
| const std::string src_prefix = broadcast_src_x ? "(" + data_type_str + ")" : ""; |
| |
| CKW_ASSERT_MSG(src_view.data_type() == dst_view.data_type(), "Source and destination type must match."); |
| CKW_ASSERT_MSG(src_view.height() == dst_h || src_view.height() == 1, |
| "Tile height must match or source is broadcasting in y dimension."); |
| CKW_ASSERT_MSG(src_w == dst_w || src_w == 1, "Tile width must match or source is broadcasting in x dimension."); |
| |
| // Broadcasting on y dimension is automatic (see CLTile::vector). |
| for (int32_t y = 0; y < dst_h; ++y) |
| { |
| append_code(dst_view.vector(y).str, " = ", src_prefix, src_view.vector(y).str, ";\n"); |
| } |
| } |
| |
| void CLKernelWriter::op_cast(const TileOperand &dst, const TileOperand &src, ConvertPolicy policy) |
| { |
| const auto dst_view = to_cl_tile_view(dst); |
| const auto src_view = to_cl_tile_view(src); |
| |
| const auto dst_w = dst_view.width(); |
| const auto dst_h = dst_view.height(); |
| const auto src_w = src_view.width(); |
| |
| const auto dst_type = dst_view.data_type(); |
| |
| const auto convert_type_str = cl_get_variable_datatype_as_string(dst_type, src_w); |
| const auto dst_type_str = cl_get_variable_datatype_as_string(dst_type, dst_w); |
| |
| const std::string sat = policy == ConvertPolicy::Saturate ? "_sat" : ""; |
| |
| CKW_ASSERT_IF(policy == ConvertPolicy::Saturate, !is_data_type_float(dst_type)); |
| |
| const auto broadcast_x = dst_w != 1 && src_w == 1; |
| const std::string prefix = broadcast_x ? "(" + dst_type_str + ")" : ""; |
| |
| CKW_ASSERT_MSG(src_view.height() == dst_h || src_view.height() == 1, |
| "Tile height must match or source is broadcasting in y dimension."); |
| CKW_ASSERT_MSG(src_w == dst_w || src_w == 1, "Tile width must match or source is broadcasting in x dimension."); |
| |
| // Broadcasting on y dimension is automatic (see CLTile::vector). |
| if (src_view.data_type() == dst_view.data_type()) |
| { |
| for (int32_t y = 0; y < dst_h; ++y) |
| { |
| append_code(dst_view.vector(y).str, " = ", src_view.vector(y).str, ";\n"); |
| } |
| } |
| else |
| { |
| for (int32_t y = 0; y < dst_h; ++y) |
| { |
| append_code(dst_view.vector(y).str, " = ", prefix, "convert_", convert_type_str, sat, "(", |
| src_view.vector(y).str, ");\n"); |
| } |
| } |
| } |
| |
| void CLKernelWriter::op_unary(const TileOperand &dst, UnaryOp op, const TileOperand &src) |
| { |
| const auto dst_view = to_cl_tile_view(dst); |
| const auto src_view = to_cl_tile_view(src); |
| |
| const auto dst_w = dst_view.width(); |
| const auto dst_h = dst_view.height(); |
| const auto src_w = src_view.width(); |
| |
| const auto data_type_str = cl_get_variable_datatype_as_string(dst_view.data_type(), dst_w); |
| const auto broadcast_src_x = dst_w != 1 && src_w == 1; |
| |
| const std::string src_prefix = broadcast_src_x ? "(" + data_type_str + ")" : ""; |
| |
| const auto op_info = cl_get_unary_op(op); |
| const auto op_is_func = std::get<0>(op_info); |
| const auto &op_name = std::get<1>(op_info); |
| const auto op_prefix = op_is_func ? op_name + "(" : op_name; |
| const auto op_suffix = op_is_func ? ")" : ""; |
| |
| CKW_ASSERT_MSG(src_view.data_type() == dst_view.data_type(), "Source and destination type must match."); |
| CKW_ASSERT_MSG(src_view.height() == dst_h || src_view.height() == 1, |
| "Tile height must match or source is broadcasting in y dimension."); |
| CKW_ASSERT_MSG(src_w == dst_w || src_w == 1, "Tile width must match or source is broadcasting in x dimension."); |
| |
| // Broadcasting on y dimension is automatic (see CLTile::vector). |
| for (int32_t y = 0; y < dst_h; ++y) |
| { |
| append_code(dst_view.vector(y).str, " = ", src_prefix, op_prefix, src_view.vector(y).str, op_suffix, ";\n"); |
| } |
| } |
| |
| void CLKernelWriter::op_binary(const TileOperand &dst, BinaryOp op, const TileOperand &first, const TileOperand &second) |
| { |
| const auto dst_view = to_cl_tile_view(dst); |
| const auto lhs_view = to_cl_tile_view(first); |
| const auto rhs_view = to_cl_tile_view(second); |
| |
| const auto dst_w = dst_view.width(); |
| const auto dst_h = dst_view.height(); |
| const auto lhs_w = lhs_view.width(); |
| const auto rhs_w = rhs_view.width(); |
| |
| const auto data_type = lhs_view.data_type(); |
| |
| CKW_ASSERT_MSG(lhs_view.data_type() == rhs_view.data_type(), "LHS and RHS type must match."); |
| |
| if (op == BinaryOp::MatMul_Nt_T) |
| { |
| CKW_ASSERT_MSG(lhs_view.height() == dst_h, "LHS tile height must match the DST tile height"); |
| CKW_ASSERT_MSG(rhs_view.height() == dst_w, "RHS tile height must match the DST tile width"); |
| CKW_ASSERT_MSG(lhs_view.width() == rhs_view.width(), "LHS tile width must match the LHS tile width"); |
| |
| CKW_ASSERT(is_data_type_float(data_type)); |
| |
| for (int32_t y = 0; y < dst_h; ++y) |
| { |
| for (int32_t x = 0; x < dst_w; ++x) |
| { |
| for (int32_t k = 0; k < lhs_w; ++k) |
| { |
| append_code(dst_view.scalar(y, x).str, " = fma(", lhs_view.scalar(y, k).str, ", ", |
| rhs_view.scalar(x, k).str, ", ", dst_view.scalar(y, x).str, ");\n"); |
| } |
| } |
| } |
| } |
| else |
| { |
| CKW_ASSERT_MSG(lhs_view.height() == dst_h || lhs_view.height() == 1, |
| "LHS tile height must match or source is broadcasting in y dimension."); |
| CKW_ASSERT_MSG(rhs_view.height() == dst_h || rhs_view.height() == 1, |
| "RHS tile height must match or source is broadcasting in y dimension."); |
| |
| CKW_ASSERT_MSG(lhs_w == dst_w || lhs_w == 1, |
| "LHS tile width must match destination or LHS is broadcasting in x dimension."); |
| CKW_ASSERT_MSG(rhs_w == dst_w || rhs_w == 1, |
| "RHS tile width must match destination or RHS is broadcasting in x dimension."); |
| |
| const auto op_info = cl_get_binary_op(op, data_type); |
| const auto op_is_func = std::get<0>(op_info); |
| const auto &op_name = std::get<1>(op_info); |
| |
| const auto data_type_str = cl_get_variable_datatype_as_string(data_type, dst_w); |
| |
| const auto broadcast_lhs_x = dst_w != 1 && lhs_w == 1; |
| const auto broadcast_rhs_x = dst_w != 1 && rhs_w == 1; |
| |
| const std::string lhs_prefix = broadcast_lhs_x ? "(" + data_type_str + ")" : ""; |
| const std::string rhs_prefix = broadcast_rhs_x ? "(" + data_type_str + ")" : ""; |
| |
| const std::string op_prefix = op_is_func ? " = " + op_name + "(" : " = "; |
| const std::string op_separator = op_is_func ? ", " : " " + op_name + " "; |
| const std::string op_suffix = op_is_func ? ");\n" : ";\n"; |
| |
| // Broadcasting on y dimension is automatic (see CLTile::vector). |
| for (int32_t y = 0; y < dst_h; ++y) |
| { |
| append_code(dst_view.vector(y).str, op_prefix, lhs_prefix, lhs_view.vector(y).str, op_separator, rhs_prefix, |
| rhs_view.vector(y).str, op_suffix); |
| } |
| } |
| } |
| |
| void CLKernelWriter::op_ternary( |
| const TileOperand &dst, TernaryOp op, const TileOperand &first, const TileOperand &second, const TileOperand &third) |
| { |
| const auto dst_view = to_cl_tile_view(dst); |
| const auto first_view = to_cl_tile_view(first); |
| const auto second_view = to_cl_tile_view(second); |
| const auto third_view = to_cl_tile_view(third); |
| |
| const auto dst_w = dst_view.width(); |
| const auto dst_h = dst_view.height(); |
| const auto first_w = first_view.width(); |
| const auto second_w = second_view.width(); |
| const auto third_w = third_view.width(); |
| |
| const auto data_type = dst_view.data_type(); |
| const auto data_type_str = cl_get_variable_datatype_as_string(data_type, dst_w); |
| |
| const auto op_info = cl_get_ternary_op(op); |
| const auto op_is_func = std::get<0>(op_info); |
| const auto &op_name = std::get<1>(op_info); |
| |
| const auto broadcast_first_x = dst_w != 1 && first_w == 1; |
| const auto broadcast_second_x = dst_w != 1 && second_w == 1; |
| const auto broadcast_third_x = dst_w != 1 && third_w == 1; |
| |
| const std::string first_prefix = broadcast_first_x ? "(" + data_type_str + ")" : ""; |
| const std::string second_prefix = broadcast_second_x ? "(" + data_type_str + ")" : ""; |
| const std::string third_prefix = broadcast_third_x ? "(" + data_type_str + ")" : ""; |
| |
| CKW_UNUSED(op_is_func); |
| CKW_ASSERT_MSG(op_is_func, "The only supported ternary operator is function."); |
| CKW_ASSERT_MSG(second_view.data_type() == dst_view.data_type(), "2nd source and destination type must match."); |
| CKW_ASSERT_MSG(third_view.data_type() == dst_view.data_type(), "3rd source and destination type must match."); |
| |
| CKW_ASSERT_MSG(first_view.height() == dst_h || first_view.height() == 1, |
| "1st tile height must match or source is broadcasting in y dimension."); |
| CKW_ASSERT_MSG(second_view.height() == dst_h || second_view.height() == 1, |
| "2nd tile height must match or source is broadcasting in y dimension."); |
| CKW_ASSERT_MSG(third_view.height() == dst_h || third_view.height() == 1, |
| "3rd tile height must match or source is broadcasting in y dimension."); |
| |
| CKW_ASSERT_MSG(first_w == dst_w || first_w == 1, |
| "1st tile width must match or source is broadcasting in x dimension."); |
| CKW_ASSERT_MSG(second_w == dst_w || second_w == 1, |
| "2nd tile width must match or source is broadcasting in x dimension."); |
| CKW_ASSERT_MSG(third_w == dst_w || third_w == 1, |
| "3rd tile width must match or source is broadcasting in x dimension."); |
| |
| // Broadcasting on y dimension is automatic (see CLTile::vector). |
| for (int32_t y = 0; y < dst_h; ++y) |
| { |
| append_code(dst_view.vector(y).str, " = ", op_name, "(", first_prefix, first_view.vector(y).str, ", ", |
| second_prefix, second_view.vector(y).str, ", ", third_prefix, third_view.vector(y).str, ");\n"); |
| } |
| } |
| |
| void CLKernelWriter::op_if_generic( |
| const TileOperand &lhs, BinaryOp op, const TileOperand &rhs, const std::function<void()> &body, bool is_else_if) |
| { |
| const auto lhs_view = to_cl_tile_view(lhs); |
| const auto rhs_view = to_cl_tile_view(rhs); |
| |
| const auto op_name = std::get<1>(cl_get_binary_op(op, lhs_view.data_type())); |
| CKW_ASSERT(op == BinaryOp::Less || op == BinaryOp::LessEqual || op == BinaryOp::Equal || |
| op == BinaryOp::GreaterEqual || op == BinaryOp::Greater); |
| |
| CKW_ASSERT(lhs_view.is_scalar()); |
| CKW_ASSERT(rhs_view.is_scalar()); |
| |
| if (is_else_if) |
| { |
| append_code("else "); |
| } |
| |
| append_code("if (", lhs_view.scalar(0, 0).str, " ", op_name, " ", rhs_view.scalar(0, 0).str, ")\n{\n"); |
| write_body(body); |
| append_code("}\n"); |
| } |
| |
| void CLKernelWriter::op_if(const TileOperand &lhs, |
| BinaryOp op, |
| const TileOperand &rhs, |
| const std::function<void()> &body) |
| { |
| op_if_generic(lhs, op, rhs, body, false /* is_else_if */); |
| } |
| |
| void CLKernelWriter::op_else_if(const TileOperand &lhs, |
| BinaryOp op, |
| const TileOperand &rhs, |
| const std::function<void()> &body) |
| { |
| op_if_generic(lhs, op, rhs, body, true /* is_else_if */); |
| } |
| |
| void CLKernelWriter::op_else(const std::function<void()> &body) |
| { |
| append_code("else\n{\n"); |
| write_body(body); |
| append_code("}\n"); |
| } |
| |
| void CLKernelWriter::op_for_loop(const TileOperand &var, |
| BinaryOp cond_op, |
| const TileOperand &cond_value, |
| const TileOperand &update_var, |
| AssignmentOp update_op, |
| const TileOperand &update_value, |
| const std::function<void()> &body) |
| { |
| const auto var_view = to_cl_tile_view(var); |
| const auto cond_value_view = to_cl_tile_view(cond_value); |
| const auto update_var_view = to_cl_tile_view(update_var); |
| const auto update_value_view = to_cl_tile_view(update_value); |
| |
| CKW_ASSERT(var_view.is_scalar()); |
| CKW_ASSERT(cond_value_view.is_scalar()); |
| CKW_ASSERT(update_var_view.is_scalar()); |
| CKW_ASSERT(update_value_view.is_scalar()); |
| |
| CKW_ASSERT(var_view.data_type() == cond_value_view.data_type()); |
| CKW_ASSERT(update_var_view.data_type() == update_value_view.data_type()); |
| |
| const auto cond_op_name = std::get<1>(cl_get_binary_op(cond_op, var_view.data_type())); |
| CKW_ASSERT(cond_op == BinaryOp::Less || cond_op == BinaryOp::LessEqual || cond_op == BinaryOp::Equal || |
| cond_op == BinaryOp::GreaterEqual || cond_op == BinaryOp::Greater); |
| |
| append_code("for (; ", var_view.scalar(0, 0).str, " ", cond_op_name, " ", cond_value_view.scalar(0, 0).str, "; ", |
| update_var_view.scalar(0, 0).str, " ", cl_get_assignment_op_as_string(update_op), " ", |
| update_value_view.scalar(0, 0).str, ")\n{\n"); |
| write_body(body); |
| append_code("}\n"); |
| } |
| |
| void CLKernelWriter::op_return() |
| { |
| append_code("return;\n"); |
| } |
| |
| void CLKernelWriter::op_get_global_id(const TileOperand &dst, int32_t dim) |
| { |
| const auto tile_view = to_cl_tile_view(dst); |
| |
| CKW_ASSERT(tile_view.is_scalar()); |
| CKW_ASSERT(tile_view.data_type() == DataType::Int32 || tile_view.data_type() == DataType::Uint32); |
| |
| CKW_ASSERT(dim >= 0 && dim <= 2); |
| |
| append_code(tile_view.scalar(0, 0).str, " = get_global_id(", std::to_string(dim), ");\n"); |
| } |
| |
| void CLKernelWriter::op_print(const std::string &prefix, const std::vector<TileOperand> &operands) |
| { |
| std::string format_code; |
| std::string args_code; |
| |
| for (auto &op : operands) |
| { |
| const auto tile_view = to_cl_tile_view(op); |
| |
| const auto name = tile_view.name(); |
| const auto width = tile_view.width(); |
| const auto height = tile_view.height(); |
| const auto data_type = tile_view.data_type(); |
| |
| // Construct the format specifier to print out one row of the tile. |
| std::string row_format("%"); |
| |
| if (width > 1) |
| { |
| row_format += "v" + std::to_string(width); |
| } |
| |
| switch (data_type) |
| { |
| case DataType::Fp32: |
| row_format += "hlg"; |
| break; |
| case DataType::Fp16: |
| row_format += "hg"; |
| break; |
| case DataType::Int32: |
| case DataType::Bool: |
| row_format += (width > 1) ? "hli" : "i"; |
| break; |
| case DataType::Int16: |
| row_format += "hi"; |
| break; |
| case DataType::Int8: |
| row_format += "hhi"; |
| break; |
| case DataType::Uint32: |
| row_format += (width > 1) ? "hlu" : "u"; |
| break; |
| case DataType::Uint16: |
| row_format += "hu"; |
| break; |
| case DataType::Uint8: |
| row_format += "hhu"; |
| break; |
| default: |
| CKW_THROW_MSG("Unsupported data type!"); |
| } |
| |
| if (width > 1) |
| { |
| row_format = "[" + row_format + "]"; |
| } |
| |
| // Construct the format specifier for the printf statement. |
| format_code += name + " = "; |
| |
| if (height == 1) |
| { |
| format_code += row_format; |
| } |
| else |
| { |
| format_code += "[" + row_format; |
| for (int32_t row = 1; row < height; ++row) |
| { |
| format_code += ", " + row_format; |
| } |
| format_code += "]"; |
| } |
| |
| format_code += "\\n"; |
| |
| // Construct the variable arguments for the printf statement. |
| for (int32_t row = 0; row < height; ++row) |
| { |
| args_code += ", " + tile_view.vector(row).str; |
| } |
| } |
| |
| append_code("printf(\"", prefix, "\\n", format_code, "\"", args_code, ");\n"); |
| } |
| |
| void CLKernelWriter::op_comment(const std::string &text) |
| { |
| #ifdef COMPUTE_KERNEL_WRITER_DEBUG_ENABLED |
| |
| CKW_ASSERT(text.find("\n") == text.npos); |
| CKW_ASSERT(text.find("\r") == text.npos); |
| |
| append_code("// ", text, "\n"); |
| |
| #else // COMPUTE_KERNEL_WRITER_DEBUG_ENABLED |
| |
| CKW_UNUSED(text); |
| |
| #endif // COMPUTE_KERNEL_WRITER_DEBUG_ENABLED |
| } |
| |
| const std::string &CLKernelWriter::body_source_code() const |
| { |
| return _body_source_code; |
| } |
| |
| TensorOperand CLKernelWriter::declare_tensor_argument(const std::string &name, const TensorInfo &info) |
| { |
| const auto fullname = generate_full_name(name); |
| |
| auto tensor = std::make_unique<CLTensorArgument>(fullname, info, false /* return_dims_by_value */); |
| const auto operand = create_tensor_operand(*tensor); |
| |
| _tensors.insert(std::move(tensor)); |
| |
| return operand; |
| } |
| |
| TileOperand CLKernelWriter::declare_tile(const std::string &name, const TileInfo &tile_info) |
| { |
| const std::string fullname = generate_full_name(name); |
| |
| const int32_t height = tile_info.height(); |
| const int32_t width = tile_info.width(); |
| const DataType data_type = tile_info.data_type(); |
| |
| CKW_ASSERT_MSG(std::find_if(_tiles.begin(), _tiles.end(), |
| [=](const std::unique_ptr<CLTile> &e) |
| { return e->name() == fullname; }) == _tiles.end(), |
| "There is already a tile with name: " + fullname); |
| |
| auto tile = std::make_unique<CLTile>(fullname, tile_info); |
| |
| for (int32_t row = 0; row < height; ++row) |
| { |
| const std::string cl_type = cl_get_variable_datatype_as_string(data_type, width); |
| append_code(cl_type, " ", tile->vector(row).str, ";\n"); |
| } |
| |
| const auto operand = create_tile_operand(*tile); |
| |
| _tiles.insert(std::move(tile)); |
| |
| return operand; |
| } |
| |
| TileOperand CLKernelWriter::declare_constant_tile(const ConstantData &data) |
| { |
| auto tile = std::make_unique<CLTile>(get_values(data), get_data_type(data)); |
| const TileOperand operand = create_tile_operand(*tile); |
| _constant_tiles.insert(std::move(tile)); |
| |
| return operand; |
| } |
| |
| void CLKernelWriter::op_write_raw_code(const std::string &raw_code) |
| { |
| append_code(raw_code); |
| } |
| |
| TileView<CLTile> CLKernelWriter::to_cl_tile_view(const TileOperand &operand) const |
| { |
| const auto tile_and_area = get_tile(operand); |
| ITile &tile = std::get<0>(tile_and_area); |
| const TileArea area = std::get<1>(tile_and_area); |
| |
| #ifdef COMPUTE_KERNEL_WRITER_ASSERTS_ENABLED |
| // Check if the tile is a CLTile created by this kernel writer. |
| |
| { |
| bool found = false; |
| |
| for (const auto &t : _tiles) |
| { |
| if (&tile == t.get()) |
| { |
| found = true; |
| break; |
| } |
| } |
| |
| for (const auto &t : _constant_tiles) |
| { |
| if (&tile == t.get()) |
| { |
| found = true; |
| break; |
| } |
| } |
| |
| if (!found) |
| { |
| for (const auto &t : _tensors) |
| { |
| const auto components = t->components(); |
| |
| for (const auto component : components) |
| { |
| if (&tile == &component->tile()) |
| { |
| found = true; |
| break; |
| } |
| } |
| |
| if (found) |
| { |
| break; |
| } |
| } |
| } |
| |
| CKW_ASSERT_MSG(found, "The tile is not found!"); |
| } |
| #endif // COMPUTE_KERNEL_WRITER_ASSERTS_ENABLED |
| |
| return {static_cast<CLTile &>(tile), area}; |
| } |
| |
| void CLKernelWriter::op_load(const TileOperand &tile_op, |
| const TensorOperand &tensor_op, |
| TensorSampler &sampler, |
| const TileOperand &x, |
| const TileOperand &y, |
| const TileOperand &z, |
| const TileOperand &batch) |
| { |
| const CLTile dilation_x({{"1"}}, DataType::Int32); |
| const CLTile dilation_y({{"1"}}, DataType::Int32); |
| |
| op_load_store(MemoryOperation::Load, tile_op, tensor_op, sampler, x, y, z, batch, dilation_x, dilation_y, |
| false /* indirect buffer */); |
| } |
| |
| void CLKernelWriter::op_load_dilated(const TileOperand &tile_op, |
| const TensorOperand &tensor_op, |
| TensorSampler &sampler, |
| const TileOperand &x, |
| const TileOperand &y, |
| const TileOperand &z, |
| const TileOperand &batch, |
| const TileOperand &dilation_x, |
| const TileOperand &dilation_y) |
| { |
| const auto dil_x_view = to_cl_tile_view(dilation_x); |
| const auto dil_y_view = to_cl_tile_view(dilation_y); |
| |
| op_load_store(MemoryOperation::Load, tile_op, tensor_op, sampler, x, y, z, batch, dil_x_view, dil_y_view, |
| false /* indirect buffer */); |
| } |
| |
| void CLKernelWriter::op_store(const TensorOperand &tensor_op, |
| const TileOperand &tile_op, |
| TensorSampler &sampler, |
| const TileOperand &x, |
| const TileOperand &y, |
| const TileOperand &z, |
| const TileOperand &batch) |
| { |
| const CLTile dilation_x({{"1"}}, DataType::Int32); |
| const CLTile dilation_y({{"1"}}, DataType::Int32); |
| |
| op_load_store(MemoryOperation::Store, tile_op, tensor_op, sampler, x, y, z, batch, dilation_x, dilation_y, |
| false /* indirect buffer */); |
| } |
| |
| void CLKernelWriter::op_store_dilated(const TensorOperand &tensor_op, |
| const TileOperand &tile_op, |
| TensorSampler &sampler, |
| const TileOperand &x, |
| const TileOperand &y, |
| const TileOperand &z, |
| const TileOperand &batch, |
| const TileOperand &dilation_x, |
| const TileOperand &dilation_y) |
| { |
| const auto dil_x_view = to_cl_tile_view(dilation_x); |
| const auto dil_y_view = to_cl_tile_view(dilation_y); |
| |
| op_load_store(MemoryOperation::Store, tile_op, tensor_op, sampler, x, y, z, batch, dil_x_view, dil_y_view, |
| false /* indirect buffer */); |
| } |
| |
| void CLKernelWriter::op_load_indirect(const TileOperand &tile_op, |
| const TensorOperand &tensor_op, |
| TensorSampler &sampler, |
| const TileOperand &x, |
| const TileOperand &y, |
| const TileOperand &z, |
| const TileOperand &batch) |
| { |
| const CLTile dilation_x({{"1"}}, DataType::Int32); |
| const CLTile dilation_y({{"1"}}, DataType::Int32); |
| |
| op_load_store(MemoryOperation::Load, tile_op, tensor_op, sampler, x, y, z, batch, dilation_x, dilation_y, |
| true /* indirect buffer */); |
| } |
| |
| void CLKernelWriter::op_load_store(MemoryOperation op, |
| const TileOperand &tile_op, |
| const TensorOperand &tensor_op, |
| TensorSampler &sampler, |
| const TileOperand &x, |
| const TileOperand &y, |
| const TileOperand &z, |
| const TileOperand &batch, |
| const TileView<CLTile> &dilation_x, |
| const TileView<CLTile> &dilation_y, |
| bool indirect_buffer) |
| { |
| CKW_UNUSED(dilation_x); |
| CKW_ASSERT(dilation_x.is_scalar()); |
| CKW_ASSERT(dilation_y.is_scalar()); |
| CKW_ASSERT(dilation_x.scalar(0, 0).str == "((int)(1))"); // Dilation in x dimension is not implemented yet |
| |
| if (indirect_buffer) |
| { |
| CKW_ASSERT(dilation_y.scalar(0, 0).str == "((int)(1))" && dilation_x.scalar(0, 0).str == "((int)(1))"); |
| } |
| |
| ITensor &tensor = get_tensor(tensor_op); |
| |
| const auto tile = to_cl_tile_view(tile_op); |
| const auto x_tile = to_cl_tile_view(x).full_tile(); |
| const auto y_tile = to_cl_tile_view(y).full_tile(); |
| const auto z_tile = to_cl_tile_view(z).full_tile(); |
| const auto batch_tile = to_cl_tile_view(batch).full_tile(); |
| |
| std::unique_ptr<ICLMemoryOpHelper> helper; |
| switch (sampler.storage()) |
| { |
| case TensorStorageType::BufferUint8Ptr: |
| helper = std::make_unique<CLMemoryOpBufferHelper>(this, &tensor, &sampler, op, tile); |
| break; |
| case TensorStorageType::Texture2dReadOnly: |
| case TensorStorageType::Texture2dWriteOnly: |
| helper = std::make_unique<CLMemoryOpImage2dHelper>(this, &tensor, &sampler, op, tile); |
| break; |
| default: |
| CKW_THROW_MSG("Unsupported tensor storage"); |
| } |
| |
| CKW_ASSERT(x_tile.is_scalar()); |
| CKW_ASSERT(z_tile.is_scalar()); |
| CKW_ASSERT_IF(indirect_buffer, y_tile.info().width() == 1); |
| CKW_ASSERT_IF(!indirect_buffer, y_tile.is_scalar()); |
| CKW_ASSERT(batch_tile.is_scalar()); |
| |
| helper->initialize(&x_tile, &z_tile, &batch_tile); |
| |
| for (int row = 0; row < tile.height(); ++row) |
| { |
| if (!indirect_buffer) |
| { |
| std::string coord_y = y_tile.scalar(0, 0).str + " + " + std::to_string(row); |
| |
| if (dilation_y.scalar(0, 0).str != "((int)(1))") |
| { |
| coord_y += " * " + dilation_y.scalar(0, 0).str; |
| } |
| |
| helper->write_row(row, coord_y); |
| } |
| else |
| { |
| helper->write_row(row, y_tile.scalar(row, 0).str); |
| } |
| } |
| |
| helper->finalize(); |
| } |
| |
| } // namespace ckw |