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| Original file line number | Diff line number | Diff line change |
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| core_gather_headers() | ||
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| gather_srcs(cinnapi_src SRCS ast_gen.cc tensor_group.cc) | ||
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| cinn_cc_test(test_ast_gen_ius SRCS ast_gen_test.cc DEPS cinncore) | ||
| cinn_cc_test(test_tensor_group SRCS tensor_group_test.cc DEPS cinncore) |
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| Original file line number | Diff line number | Diff line change |
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| // Copyright (c) 2023 CINN Authors. All Rights Reserved. | ||
| // | ||
| // Licensed under the Apache License, Version 2.0 (the "License"); | ||
| // you may not use this file except in compliance with the License. | ||
| // You may obtain a copy of the License at | ||
| // | ||
| // http://www.apache.org/licenses/LICENSE-2.0 | ||
| // | ||
| // Unless required by applicable law or agreed to in writing, software | ||
| // distributed under the License is distributed on an "AS IS" BASIS, | ||
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| // See the License for the specific language governing permissions and | ||
| // limitations under the License. | ||
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| #include "paddle/cinn/ast_gen_ius/ast_gen.h" | ||
| #include "paddle/cinn/ir/ir.h" | ||
| #include "paddle/cinn/ir/ir_base.h" | ||
| #include "paddle/cinn/ir/operation.h" | ||
| #include "paddle/cinn/ir/tensor.h" | ||
| #include "paddle/cinn/ir/utils/ir_printer.h" | ||
| #include "paddle/cinn/lang/compute.h" | ||
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| namespace cinn { | ||
| namespace ast_gen_ius { | ||
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| ir::Expr ConvertReduceBody(ir::Expr body, | ||
| ir::Tensor tensor, | ||
| const std::vector<Expr>& axis_exprs) { | ||
| ir::Reduce* reduce_node = body.As<ir::Reduce>(); | ||
| if (!reduce_node) { | ||
| return ir::Store::Make(tensor, body, axis_exprs); | ||
| } | ||
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| switch (reduce_node->reduce_type) { | ||
| case ir::Reduce::kSum: | ||
| return ir::Store::Make( | ||
| tensor, tensor(axis_exprs) + reduce_node->body, axis_exprs); | ||
| case ir::Reduce::kMul: | ||
| return ir::Store::Make( | ||
| tensor, tensor(axis_exprs) * reduce_node->body, axis_exprs); | ||
| case ir::Reduce::kMax: | ||
| return ir::Store::Make( | ||
| tensor, | ||
| ir::Max::Make(tensor(axis_exprs), reduce_node->body), | ||
| axis_exprs); | ||
| case ir::Reduce::kMin: | ||
| return ir::Store::Make( | ||
| tensor, | ||
| ir::Min::Make(tensor(axis_exprs), reduce_node->body), | ||
| axis_exprs); | ||
| case ir::Reduce::kAll: | ||
| return ir::Store::Make( | ||
| tensor, tensor(axis_exprs) && reduce_node->body, axis_exprs); | ||
| case ir::Reduce::kAny: | ||
| return ir::Store::Make( | ||
| tensor, tensor(axis_exprs) || reduce_node->body, axis_exprs); | ||
| default: | ||
| CINN_NOT_IMPLEMENTED | ||
| } | ||
| } | ||
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| ir::Expr AstGen::Build(const ir::Tensor& tensor, TensorGroup* tensor_group) { | ||
| const std::vector<ir::Var>& axis = tensor->axis(); | ||
| const std::vector<ir::Expr>& shape = tensor->shape; | ||
| size_t axis_len = axis.size(); | ||
| CHECK_EQ(shape.size(), axis_len) << "Internal Error: Tensor has different " | ||
| "shape and axis length in AstGen"; | ||
| std::vector<ir::Expr> axis_exprs; | ||
| for (const auto& a : axis) { | ||
| axis_exprs.push_back(a); | ||
| } | ||
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| if (tensor->is_reduce_tensor()) { | ||
| // Make an init Tensor for domain without reduce axis | ||
| Expr init_value = tensor->GetReduceInitVal(); | ||
| // TODO(zhhsplendid): Clean the handcoded "__reduce_init" string | ||
| std::string reduce_init_name = tensor->name + "__reduce_init"; | ||
| const std::vector<Expr>& domain = tensor->domain_without_reduce_axis(); | ||
| ir::Tensor init_tensor = lang::Compute( | ||
| domain, | ||
| [=](const std::vector<Expr>& axis) { return init_value; }, | ||
| reduce_init_name); | ||
| tensor_group->Insert(init_tensor); | ||
| tensor_group->MarkShareMemBuffer(tensor, init_tensor); | ||
| tensor_group->CtrlDepend(tensor, init_tensor); | ||
| Expr init_body = ir::Store::Make(init_tensor, init_value, axis_exprs); | ||
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| // For the remaining reduce axis, make reduce body | ||
| const std::vector<ir::Var>& reduce_axis = tensor->reduce_axis; | ||
| ir::Expr reduce_body = | ||
| ConvertReduceBody(tensor->body(), tensor, axis_exprs); | ||
| for (int i = static_cast<int>(reduce_axis.size()) - 1; i >= 0; --i) { | ||
| reduce_body = ir::For::Make(reduce_axis[i], | ||
| reduce_axis[i]->lower_bound, | ||
| reduce_axis[i]->upper_bound, | ||
| ir::ForType::Serial, | ||
| ir::DeviceAPI::Host, | ||
| ir::Block::Make({reduce_body})); | ||
| } | ||
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| // Put the two parts together | ||
| ir::Expr body = ir::Block::Make({init_body, reduce_body}); | ||
| for (int i = static_cast<int>(axis_len) - 1; i >= 0; --i) { | ||
| ir::Var loop_var = axis[i]; | ||
| ir::Expr loop_extent = shape[i]; | ||
| body = ir::For::Make( | ||
| loop_var, | ||
| Expr(0), | ||
| loop_extent, | ||
| ir::ForType::Serial, | ||
| ir::DeviceAPI::Host, | ||
| i == static_cast<int>(axis_len) - 1 ? body : ir::Block::Make({body})); | ||
| } | ||
| return body; | ||
| } else { | ||
| ir::Expr body = ir::Store::Make(tensor, tensor->body(), axis_exprs); | ||
| for (int i = static_cast<int>(axis_len) - 1; i >= 0; --i) { | ||
| ir::Var loop_var = axis[i]; | ||
| ir::Expr loop_extent = shape[i]; | ||
| body = ir::For::Make(loop_var, | ||
| Expr(0), | ||
| loop_extent, | ||
| ir::ForType::Serial, | ||
| ir::DeviceAPI::Host, | ||
| ir::Block::Make({body})); | ||
| } | ||
| return body; | ||
| } | ||
| } | ||
|
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| } // namespace ast_gen_ius | ||
| } // namespace cinn |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,46 @@ | ||
| // Copyright (c) 2023 CINN Authors. All Rights Reserved. | ||
| // | ||
| // Licensed under the Apache License, Version 2.0 (the "License"); | ||
| // you may not use this file except in compliance with the License. | ||
| // You may obtain a copy of the License at | ||
| // | ||
| // http://www.apache.org/licenses/LICENSE-2.0 | ||
| // | ||
| // Unless required by applicable law or agreed to in writing, software | ||
| // distributed under the License is distributed on an "AS IS" BASIS, | ||
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| // See the License for the specific language governing permissions and | ||
| // limitations under the License. | ||
|
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| #include <gtest/gtest.h> | ||
| #include <vector> | ||
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| #include "paddle/cinn/ast_gen_ius/ast_gen.h" | ||
| #include "paddle/cinn/ast_gen_ius/tensor_group.h" | ||
| #include "paddle/cinn/ir/ir.h" | ||
| #include "paddle/cinn/ir/ir_base.h" | ||
| #include "paddle/cinn/ir/tensor.h" | ||
| #include "paddle/cinn/lang/builtin.h" | ||
| #include "paddle/cinn/lang/compute.h" | ||
| #include "paddle/cinn/lang/placeholder.h" | ||
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| namespace cinn { | ||
| namespace ast_gen_ius { | ||
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| using cinn::ir::Expr; | ||
| using cinn::ir::Tensor; | ||
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| TEST(AstGen, Build) { | ||
| std::vector<Expr> shape = {Expr(10), Expr(10), Expr(10), Expr(10)}; | ||
| lang::Placeholder<float> A("A", shape); | ||
| Tensor B = lang::Compute( | ||
| shape, | ||
| [&](const std::vector<Expr>& indice) { return lang::Relu(A(indice), 0); }, | ||
| "relu_test"); | ||
| TensorGroup tensor_group({B}); | ||
| Expr out = AstGen::Build(B, &tensor_group); | ||
| LOG(INFO) << out; | ||
| } | ||
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| } // namespace ast_gen_ius | ||
| } // namespace cinn |
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