在文档中统一静态图模式与动态图模式的英文翻译 (#49170)

* 1219

* temporarily change the num_diff_files limit, test=document_fix

* Revert "temporarily change the num_diff_files limit, test=document_fix"

This reverts commit 8e70f00.

* for codestyle

* remove duplicate license

* `static mode` -> `static graph mode`

* Update hybrid_parallel_inference.py

* Update layer_function_generator.py

* Update manipulation.py

* reset

Co-authored-by: Ligoml <[email protected]>
Co-authored-by: SigureMo <[email protected]>

Author: 3 people

paddle/fluid/eager/autograd_meta.h

@@ -23,7 +23,7 @@ using AbstractAutogradMeta = paddle::experimental::AbstractAutogradMeta;
  *
  * AutogradMeta is what record the backward info for tensor. When we run
  * computation graph eagerly, we can not build a static paddle program like
- * static mode do, so we need a new method to record forward info to trace
+ * static graph mode do, so we need a new method to record forward info to trace
  * backward when we finish all forward computation. This require our
  * AutogradMeta class record following main members
  *

paddle/fluid/framework/new_executor/interpreter/interpreter_util.cc

@@ -760,7 +760,7 @@ bool BuildOpFuncList(const platform::Place& place,
                   new phi::Kernel(phi::KernelFactory::Instance().SelectKernel(
                       phi_kernel_name, phi_cpu_kernel_key)));
               if (op_with_kernel->PhiKernel()->IsValid()) {
-                VLOG(6) << "Static mode PrepareImpl - kernel name: "
+                VLOG(6) << "Static graph mode PrepareImpl - kernel name: "
                         << phi_kernel_name
                         << " | kernel key: " << phi_cpu_kernel_key
                         << " | kernel: " << *(op_with_kernel->PhiKernel());

paddle/fluid/framework/operator.cc

@@ -1679,12 +1679,12 @@ void OperatorWithKernel::RunImpl(const Scope& scope,
               phi_kernel_name, phi_kernel_key)));
 
       if (phi_kernel_->IsValid()) {
-        VLOG(6) << "Static mode ChoosePhiKernel - kernel name: "
+        VLOG(6) << "Static graph mode ChoosePhiKernel - kernel name: "
                 << phi_kernel_name << " | kernel key: " << phi_kernel_key
                 << " | kernel: " << *phi_kernel_;
       } else {
-        VLOG(6) << "Static mode ChoosePhiKernel - kernel `" << phi_kernel_name
-                << "` not found.";
+        VLOG(6) << "Static graph mode ChoosePhiKernel - kernel `"
+                << phi_kernel_name << "` not found.";
       }
     } else {
       phi_kernel_name = kernel_signature_->name;
@@ -1815,7 +1815,7 @@ void OperatorWithKernel::RunImpl(const Scope& scope,
 
         dev_ctx = pool.Get(platform::CPUPlace());
         if (phi_kernel_->IsValid()) {
-          VLOG(6) << "Static mode PrepareImpl - kernel name: "
+          VLOG(6) << "Static graph mode PrepareImpl - kernel name: "
                   << phi_kernel_name << " | kernel key: " << phi_cpu_kernel_key
                   << " | kernel: " << *phi_kernel_;
           run_phi_kernel_ = true;
@@ -2083,11 +2083,11 @@ phi::KernelKey OperatorWithKernel::ChoosePhiKernel(
       phi_kernel_name, phi_kernel_key)));
 
   if (phi_kernel_->IsValid()) {
-    VLOG(6) << "Static mode ChoosePhiKernel - kernel name: " << phi_kernel_name
-            << " | kernel key: " << phi_kernel_key
+    VLOG(6) << "Static graph mode ChoosePhiKernel - kernel name: "
+            << phi_kernel_name << " | kernel key: " << phi_kernel_key
             << " | kernel: " << *phi_kernel_;
   } else {
-    VLOG(6) << "Static mode ChoosePhiKernel - kernel `" << phi_kernel_name
+    VLOG(6) << "Static graph mode ChoosePhiKernel - kernel `" << phi_kernel_name
             << "` not found.";
   }
   return phi_kernel_key;

paddle/fluid/imperative/tracer.h

@@ -136,7 +136,7 @@ class Tracer {
   }
 
   // Note(Aurelius84): The `tmp` is used as prefix key while naming a temporary
-  // intermediate var both in imperative and static mode. But the
+  // intermediate var both in imperative and static graph mode. But the
   // `UniqueNameGenerator` in C++ and `unique_name.py` in Python doesn't share
   // the same auto-increment id. It will create a variable repeatedly with same
   // name like `tmp_0` in some cases when transform dygraph into static layers.

paddle/fluid/inference/tensorrt/convert/c_allreduce_op.cc

@@ -1,16 +1,16 @@
-/* Copyright (c) 2022 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. */
+// Copyright (c) 2022 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.
 
 #include "paddle/fluid/inference/tensorrt/convert/op_converter.h"
 #include "paddle/fluid/inference/tensorrt/plugin/c_allreduce_op_plugin.h"
@@ -32,8 +32,9 @@ class CAllReduceOpConverter : public OpConverter {
                   bool test_mode) override {
     VLOG(4) << "convert fluid callreduce op to tensorrt layer";
     if (!engine_->with_dynamic_shape()) {
-      PADDLE_THROW(platform::errors::Fatal(
-          "Unsupported static mode. Please set dynamic shape of inputs."));
+      PADDLE_THROW(
+          platform::errors::Fatal("Unsupported static graph mode. Please set "
+                                  "dynamic shape of inputs."));
     }
     ReduceType red_type = op_to_reduce_type[op.type()];
     std::string name = op.type();

paddle/fluid/inference/tensorrt/convert/preln_residual_bias.cc

@@ -28,8 +28,9 @@ class PrelnResidualBiasOpConverter : public OpConverter {
                   bool test_mode) override {
     VLOG(4) << "convert fused preln_residual_bias op to tensorrt layer";
     if (!engine_->with_dynamic_shape()) {
-      PADDLE_THROW(platform::errors::Fatal(
-          "Unsupported static mode. Please set dynamic shape of inputs."));
+      PADDLE_THROW(
+          platform::errors::Fatal("Unsupported static graph mode. Please set "
+                                  "dynamic shape of inputs."));
     }
     framework::OpDesc op_desc(op, nullptr);
     // Declare inputs

paddle/fluid/operators/run_program_op.h

@@ -288,8 +288,8 @@ class RunProgramOpKernel : public framework::OpKernel<T> {
     auto *out_scope_vec = ctx.Output<StepScopeVar>("OutScope");
     std::unique_ptr<framework::Scope> inner_scope{nullptr};
     if (out_scope_vec->size() == 0) {
-      // For cuda graph under static mode usage.
-      // For static mode, we cannot set value of a tensor before any run,
+      // For cuda graph under static graph mode usage.
+      // For static graph mode, we cannot set value of a tensor before any run,
       // the OutScope variable passed to the op actually contains nothing.
       // Just create a tmp scope to run the program.
       PADDLE_ENFORCE_EQ(

paddle/fluid/operators/set_value_op.cc

@@ -145,7 +145,7 @@ class SetValueMaker : public framework::OpProtoAndCheckerMaker {
     AddAttr<std::vector<int64_t>>("shape", "(vector<int64_t>) Shape of values.")
         .SetDefault({});
     AddComment(R"DOC(SetValue operator.
-Assignment to a phi::DenseTensor in static mode.
+Assignment to a phi::DenseTensor in static graph mode.
 )DOC");
   }
 };

paddle/fluid/pybind/eager_legacy_op_function_generator.cc

@@ -443,9 +443,9 @@ GenerateOpFunctions() {
     // In this case, output will reuse input varbase.
     // Dygraph mode needs to be aligned with the in-place strategy in static
     // mode, and the mapping relationships between output and input that have
-    // been defined in static mode should be used in dygraph mode.
-    // Find which ops need to use Inplace strategy in static mode, and get the
-    // mapping relationship between Inplace output and input.
+    // been defined in static graph mode should be used in dygraph mode.
+    // Find which ops need to use Inplace strategy in static graph mode, and get
+    // the mapping relationship between Inplace output and input.
     auto& infer_inplace =
         paddle::framework::OpInfoMap::Instance().Get(op_type).infer_inplace_;
     std::map<std::string, std::string> inplace_map;

paddle/fluid/pybind/eager_properties.cc

@@ -39,7 +39,8 @@ PyObject* tensor_properties_get_name(TensorObject* self, void* closure) {
   EAGER_TRY
   // NOTE(dev): [why not use egr::Controller::Instance::GernerateUniqueName()?]
   // Beacause Controller must holder a tracer, but 'tensor.name' maybe called
-  // everywhere such as static mode in @to_static, which means tracer is None.
+  // everywhere such as static graph mode in @to_static, which means tracer is
+  // None.
   static egr::UniqueNameGenerator name_generator;
   if (self->tensor.name().empty()) {
     self->tensor.set_name(name_generator.Generate());