Fix decay bug (#11520)

* Add sub_blocks of lr_decay_op to pserver_prog after distribute_transpiler

* Remove unused logs and logics

* 1. Add ops to new block (considering the nested block condition)
2. Follow the original hierarchy of blocks
3. Change the function's name and remove debug lines

paddle/fluid/framework/executor.cc

@@ -295,13 +295,14 @@ void Executor::Run(const ProgramDesc& program, Scope* scope,
 
 std::unique_ptr<ExecutorPrepareContext> Executor::Prepare(
     const ProgramDesc& program, int block_id) {
-  auto* ctx = new ExecutorPrepareContext(program, block_id);
+  std::unique_ptr<ExecutorPrepareContext> ctx(
+      new ExecutorPrepareContext(program, block_id));
   PADDLE_ENFORCE_LT(static_cast<size_t>(block_id), program.Size());
   auto& block = program.Block(block_id);
   for (auto& op_desc : block.AllOps()) {
     ctx->ops_.push_back(OpRegistry::CreateOp(*op_desc));
   }
-  return std::unique_ptr<ExecutorPrepareContext>(ctx);
+  return ctx;
 }
 
 std::vector<std::shared_ptr<ExecutorPrepareContext>> Executor::Prepare(

python/paddle/fluid/framework.py

@@ -644,7 +644,13 @@ class Operator(object):
 
     def set_attr(self, name, val):
         self.attrs[name] = val
-        self.desc.set_attr(name, val)
+        if isinstance(val, Block):
+            self.desc.set_block_attr(name, val.desc)
+        elif isinstance(val, core.BlockDesc) or \
+                isinstance(val, core.ProgramDesc):
+            self.desc.set_serialized_attr(name, val.serialize_to_string())
+        else:
+            self.desc.set_attr(name, val)
 
     @property
     def attr_names(self):

python/paddle/fluid/transpiler/distribute_transpiler.py

@@ -24,7 +24,7 @@ Steps to transpile trainer:
 1. split variable to multiple blocks, aligned by product(dim[1:]) (width).
 2. rename splited grad variables to add trainer_id suffix ".trainer_%d".
 3. modify trainer program add split_op to each grad variable.
-4. append send_op to send splited variables to server and 
+4. append send_op to send splited variables to server and
 5. add recv_op to fetch params(splited blocks or origin param) from server.
 6. append concat_op to merge splited blocks to update local weights.
 
@@ -44,7 +44,7 @@ import numpy as np
 from ps_dispatcher import RoundRobin, HashName, PSDispatcher
 from .. import core, framework
 from ..framework import Program, default_main_program, \
-                        default_startup_program, \
+                        default_startup_program, Block, \
                         Variable, Parameter, grad_var_name
 from details import *
 
@@ -471,7 +471,7 @@ class DistributeTranspiler:
                 self._append_pserver_ops(block, op, endpoint, grad_to_block_id,
                                          self.origin_program, merged_var)
             else:
-                self._append_pserver_non_opt_ops(block, op, endpoint)
+                self._append_pserver_non_opt_ops(block, op)
 
         def __op_have_grad_input__(op):
             for varname in op.input_arg_names:
@@ -479,13 +479,39 @@ class DistributeTranspiler:
                     return varname
             return ""
 
+        def __clone_lr_op_sub_block__(op, program, new_block):
+            if not op.has_attr('sub_block'):
+                return
+
+            origin_block_desc = op.attr('sub_block')
+            origin_block = self.origin_program.block(origin_block_desc.id)
+            assert isinstance(origin_block, Block)
+            # we put the new sub block to new block to follow the block
+            # hierarchy of the original blocks
+            new_sub_block = program.create_block(new_block.idx)
+
+            # clone vars
+            for var in origin_block.vars:
+                new_sub_block.clone_variable(var)
+
+            # clone ops
+            for op in origin_block.ops:
+                self._clone_lr_op(program, new_sub_block, op)
+                # clone sub_block of op
+                __clone_lr_op_sub_block__(op, program, new_sub_block)
+
+            # reset the block of op
+            op.set_attr('sub_block', new_sub_block)
+
         # append lr decay ops to the child block if exists
         lr_ops = self._get_lr_ops()
         if len(lr_ops) > 0:
             lr_decay_block = pserver_program.create_block(
                 pserver_program.num_blocks - 1)
             for _, op in enumerate(lr_ops):
-                self._append_pserver_non_opt_ops(lr_decay_block, op, endpoint)
+                self._append_pserver_non_opt_ops(lr_decay_block, op)
+                # append sub blocks to pserver_program in lr_decay_op
+                __clone_lr_op_sub_block__(op, pserver_program, lr_decay_block)
 
         # append op to the current block
         grad_to_block_id = []
@@ -1116,7 +1142,29 @@ class DistributeTranspiler:
                     break
         return grad_block
 
-    def _append_pserver_non_opt_ops(self, optimize_block, opt_op, endpoint):
+    def _clone_lr_op(self, program, block, op):
+        inputs = self._get_input_map_from_op(
+            self.origin_program.global_block().vars, op)
+        for key, varlist in inputs.iteritems():
+            if not isinstance(varlist, list):
+                varlist = [varlist]
+            for var in varlist:
+                if var not in program.global_block().vars:
+                    block.clone_variable(var)
+
+        outputs = self._get_output_map_from_op(
+            self.origin_program.global_block().vars, op)
+        for key, varlist in outputs.iteritems():
+            if not isinstance(varlist, list):
+                varlist = [varlist]
+            for var in varlist:
+                if var not in program.global_block().vars:
+                    block.clone_variable(var)
+
+        block.append_op(
+            type=op.type, inputs=inputs, outputs=outputs, attrs=op.attrs)
+
+    def _append_pserver_non_opt_ops(self, optimize_block, opt_op):
         program = optimize_block.program
         # Append the ops for parameters that do not need to be optimized/updated
         inputs = self._get_input_map_from_op(