gitignore

paddle/fluid/eager/api/generated/eager_generated/forwards/scale.cc

+// Copyright (c) 2021 PaddlePaddle 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.
+
+/**
+ * This File should be automatically generated by coding auto generator.
+ * All ops C++ autograd logic is defined here, in Python-C extension API
+ * system we try to avoid any autograd related code, and move them all to
+ * here.
+ *
+ * Currently, we just manually do some fwd autograd here. And we will replace
+ * them with auto code generator later.
+ * **/
+
+#include "paddle/fluid/eager/api/generated/eager_generated/forwards/scale.h"
+
+#include "paddle/fluid/eager/api/generated/eager_generated/backwards/scale_node.h"
+#include "paddle/fluid/eager/autograd_meta.h"
+#include "paddle/fluid/eager/eager_tensor.h"
+#include "paddle/fluid/eager/utils.h"
+#include "paddle/phi/api/all.h"
+
+namespace egr {
+
+paddle::experimental::Tensor scale(const paddle::experimental::Tensor& x,
+                                   float scale,
+                                   float bias,
+                                   bool bias_after_scale,
+                                   bool trace_backward) {
+  // 1. Run Forward
+  // 1.1 Create outputs
+  paddle::experimental::Tensor out;
+  // 1.2 Need by original op, we assemble ins, outs, attrs here
+
+  // 1.3 Call forward C++ api
+  ScaleAPI(x, scale, bias, bias_after_scale, &out);
+
+  // 2. Build Backward Depends
+  // 2.1 Get AutogradMetas for all ins and outs
+  auto p_autograd_in = EagerUtils::unsafe_autograd_meta(x);
+  // NOTE: Call EagerUtils::multi_autograd_meta  when we have vector of outputs
+  auto p_autograd_out = EagerUtils::autograd_meta(&out);
+
+  // 2.2 Add GradNode
+  // 2.2.1 ComputeRequireGrad
+  // TODO(jiabin) : make this function accept different kinds of input
+  // TODO(zhanlve): which one is more efficient:
+  //                1. construct a vector of pointers
+  //                2. call "ComputeRequireGrad" multiple times
+  bool require_any_grad =
+      EagerUtils::ComputeRequireGrad(trace_backward, p_autograd_in);
+  if (require_any_grad) {
+    EagerUtils::PassStopGradient(false /*generate_grad*/, p_autograd_out);
+
+    // 2.2.2 Set OutRankInfo for outputs this needs to be as same as Edges's
+    // input_rank_
+    /** Note:
+    // 1. We provide EagerUtils::SetMultiOutRank(vector<AutogradMeta*>),
+    // since we have some of Operator has servel slot name with duplicate
+    outputs.
+    // 2. We call AutogradMeta's SetOutput Rank only when we have single output
+    with
+    // single slot name.
+    **/
+    p_autograd_out->SetSingleOutRankWithSlot(0, 0);
+
+    // Init GradNode
+    auto scale_node = std::make_shared<GradNodeScale>(/* fwd_in_slot_num */ 1,
+                                                      /* bwd_in_slot_num */ 1);
+
+    // Pass Attributes to GradNode
+    scale_node->SetAttributes_scale(scale);
+
+    // Set TensorWrappers
+    scale_node->SetTensorWrappers_X({x});
+
+    // Set Grad out rank as same as fwd input and set stop gradient to bwd
+    scale_node->SetGradOutMeta(x, /*slot id*/ 0);
+    // Set Grad out rank as same as fwd input and set stop gradient to bwd
+    scale_node->SetGradInMeta(out, /*slot id*/ 0);
+
+    // Set History for output set current Grad Node for
+    EagerUtils::SetHistory(p_autograd_out, scale_node);
+  }
+
+  return out;
+}
+
+}  // namespace egr

paddle/fluid/eager/api/generated/eager_generated/forwards/scale.h

+// Copyright (c) 2021 PaddlePaddle 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.
+
+#pragma once
+
+#include "paddle/fluid/eager/eager_tensor.h"
+namespace egr {
+
+paddle::experimental::Tensor scale(const paddle::experimental::Tensor& x,
+                                   float scale,
+                                   float bias,
+                                   bool bias_after_scale,
+                                   bool trace_backward);
+
+}  // namespace egr

paddle/fluid/framework/.gitignore

-.tensor_util.cu
-.data_type_transform.cu
\ No newline at end of file

paddle/fluid/inference/api/demo_ci/.gitignore

-data

paddle/fluid/pybind/.gitignore

-pybind.h
-op_function1.cc
-op_function2.cc
-op_function3.cc
-op_function4.cc
-op_function5.cc
-op_function6.cc
-op_function7.cc
-op_function8.cc
-eager_op_function.cc
-eager_legacy_op_function.cc

paddle/infrt/api/.gitignore

-infrt_api_test.cc

paddle/infrt/tests/.gitignore

-.DS_Store
-.idea
-*.log
-tmp/
-
-
-Output

paddle/infrt/tests/dialect/tensor/.gitignore

-.DS_Store
-.idea
-*.log
-tmp/
-tensor_map.mlir

python/.gitignore

-*pyc
-build
-dist
-paddlepaddle.egg-info
-paddle.egg-info
-paddlepaddle_gpu.egg-info
-.idea
-paddle/proto/*.py
-paddle/proto/*.pyc

python/paddle/.gitignore

-version.py

python/paddle/fluid/.gitignore

-proto
-core.so

python/paddle/fluid/tests/.gitignore

-image/
-fit_a_line.model/
-tmp
-cuda_profiler.txt

python/paddle/fluid/tests/book/.gitignore

-*.inference.model

python/paddle/proto/__init__.py

+# Copyright (c) 2016 PaddlePaddle 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.
+
+from paddle.proto.TrainerConfig_pb2 import OptimizationConfig, TrainerConfig
+from paddle.proto.ModelConfig_pb2 import ModelConfig
+
+__all__ = []

tools/codestyle/.gitignore

-*.pyc