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-rw-r--r--compute_kernel_writer/prototype/src/KernelWriter.cpp227
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diff --git a/compute_kernel_writer/prototype/src/KernelWriter.cpp b/compute_kernel_writer/prototype/src/KernelWriter.cpp
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+++ b/compute_kernel_writer/prototype/src/KernelWriter.cpp
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+/*
+ * Copyright (c) 2023 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 "ckw/KernelWriter.h"
+#include "ckw/Error.h"
+#include "ckw/TensorOperand.h"
+#include "src/Prototype.h"
+
+#include <sstream>
+
+namespace ckw
+{
+
+namespace
+{
+
+inline prototype::TensorInfo create_impl_tensor_info(const TensorInfo &info)
+{
+ return prototype::TensorInfo{ info.shape(), info.data_type(), info.data_layout(), info.id() };
+}
+
+} // namespace
+
+// =================================================================================================
+// Constructors and destructor
+// =================================================================================================
+
+KernelWriter::KernelWriter(Kernel &kernel)
+ : _kernel(&kernel),
+ _impl_attr(std::make_unique<prototype::GpuKernelWriterAttribute>()),
+ _impl(prototype::GpuKernelWriterFactory::create(_impl_attr.get(), kernel.impl()))
+{
+ _impl->set_IdSpace(1);
+}
+
+KernelWriter::~KernelWriter()
+{
+}
+
+// =================================================================================================
+// Scope management
+// =================================================================================================
+
+int32_t KernelWriter::id_space() const
+{
+ return _id_space;
+}
+
+KernelWriter &KernelWriter::id_space(int32_t id_space)
+{
+ CKW_ASSERT(id_space <= _max_id_space);
+
+ _id_space = id_space;
+ return *this;
+}
+
+int32_t KernelWriter::next_id_space()
+{
+ id_space(++_max_id_space);
+ return _id_space;
+}
+
+// =================================================================================================
+// Tensor and tile declaration
+// =================================================================================================
+
+TensorOperand &KernelWriter::create_tensor_argument(const char *name, const TensorInfo &info)
+{
+ const auto var_name = generate_variable_name(name);
+
+ _impl->declare_argument(var_name, create_impl_tensor_info(info));
+
+ auto operand = new TensorOperand(var_name, info);
+ register_operand(operand, false);
+
+ return *operand;
+}
+
+TileOperand &KernelWriter::create_tile_argument(const char *name, int32_t value)
+{
+ const auto var_name = generate_variable_name(name);
+
+ auto operand = new TileOperand(var_name, value);
+ register_operand(operand, false);
+
+ return *operand;
+}
+
+std::string KernelWriter::generate_variable_name(const char *name) const
+{
+ std::stringstream var_name;
+
+ var_name << "_" << _id_space << "_" << name;
+
+ return var_name.str();
+}
+
+void KernelWriter::register_operand(OperandBase *operand, bool declaring)
+{
+ const auto &name = operand->name();
+ auto &operands = _kernel->operands();
+
+ CKW_ASSERT(operands.find(name) == operands.end());
+ operands[name] = std::unique_ptr<OperandBase>(operand);
+
+ if(declaring && !operand->is_constant())
+ {
+ const auto tile = reinterpret_cast<TileOperand *>(operand);
+
+ const auto &info = tile->tile_info();
+ _impl->declare_tile(tile->name(), prototype::TileInfo(info.data_type(), info.width(), info.height()));
+ }
+}
+
+// =================================================================================================
+// Load and store
+// =================================================================================================
+
+void KernelWriter::op_load(TileOperand &tile, TensorOperand &tensor, const TensorTileSampler &sampler)
+{
+ prototype::TensorOperand impl_tensor(
+ tensor.name(),
+ prototype::GpuSampler{
+ sampler.format(),
+ prototype::GpuSamplerTensorStorage::BufferUint8Ptr,
+ sampler.address_mode_x(),
+ sampler.address_mode_y(),
+ sampler.address_mode_z() });
+
+ auto impl_x = sampler.x().create_impl_operand(_impl.get());
+ auto impl_y = sampler.y().create_impl_operand(_impl.get());
+ auto impl_z = sampler.z().create_impl_operand(_impl.get());
+ auto impl_b = sampler.b().create_impl_operand(_impl.get());
+
+ auto impl_dst = tile.create_impl_operand(_impl.get());
+
+ _impl->op_load_immediate(impl_tensor, impl_dst, impl_x, impl_y, impl_z, impl_b);
+}
+
+void KernelWriter::op_store(TensorOperand &tensor, const TileOperand &tile, const TensorTileSampler &sampler)
+{
+ prototype::TensorOperand impl_tensor(
+ tensor.name(),
+ prototype::GpuSampler{
+ sampler.format(),
+ prototype::GpuSamplerTensorStorage::BufferUint8Ptr,
+ sampler.address_mode_x(),
+ sampler.address_mode_y(),
+ sampler.address_mode_z() });
+ auto impl_src = tile.create_impl_operand(_impl.get());
+ auto impl_x = sampler.x().create_impl_operand(_impl.get());
+ auto impl_y = sampler.y().create_impl_operand(_impl.get());
+ auto impl_z = sampler.z().create_impl_operand(_impl.get());
+ auto impl_b = sampler.b().create_impl_operand(_impl.get());
+
+ _impl->op_store_immediate(impl_tensor, impl_src, impl_x, impl_y, impl_z, impl_b);
+}
+
+// =================================================================================================
+// Data processing
+// =================================================================================================
+
+void KernelWriter::op_assign(TileOperand &dst, const TileOperand &src)
+{
+ auto impl_dst = dst.create_impl_operand(_impl.get());
+ auto impl_src = src.create_impl_operand(_impl.get());
+
+ _impl->op_assign(impl_dst, impl_src);
+}
+
+void KernelWriter::op_binary_expression(TileOperand &dst, const TileOperand &lhs, const TileOperand &rhs, BinaryOp op)
+{
+ auto impl_lhs = lhs.create_impl_operand(_impl.get());
+ auto impl_rhs = rhs.create_impl_operand(_impl.get());
+ auto impl_dst = dst.create_impl_operand(_impl.get());
+
+ _impl->op_binary_expression(impl_dst, impl_lhs, op, impl_rhs);
+}
+
+void KernelWriter::op_scalar_function(TileOperand &dst, const TileOperand &src, ScalarUnaryFunction opcode)
+{
+ auto impl_dst = dst.create_impl_operand(_impl.get());
+ auto impl_src = src.create_impl_operand(_impl.get());
+
+ _impl->op_scalar_function(impl_dst, impl_src, opcode);
+}
+
+// =================================================================================================
+// Misc
+// =================================================================================================
+
+void KernelWriter::op_get_global_id(TileOperand &dst, int32_t dim)
+{
+ _impl->op_get_global_id(prototype::Operand(dst.name()), dim);
+}
+
+// =================================================================================================
+// Code generation
+// =================================================================================================
+
+std::string KernelWriter::generate_code()
+{
+ return prototype::generate_code(*_kernel->impl(), _kernel->name());
+}
+
+} // namespace ckw