Comments (5)
tnowotny
commented on July 17, 2024
I assume @mstimberg will get this anyway, but can I also pull in @neworderofjamie for an opinion whether anything and what might have changed on the GeNN side. I am currently traveling and will not be able to do detective work atm.
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neworderofjamie
commented on July 17, 2024
GeNN's changed a lot in that time as, I imagine has Brian2GeNN so it's
very hard to tell. A diff of the generated code can be a good way to tell
if GeNN's started doing something different though.
…On Tue, 14 Aug 2018, 19:04 Thomas Nowotny, ***@***.***> wrote:
I assume @mstimberg <https://github.com/mstimberg> will get this anyway,
but can I also pull in @neworderofjamie
<https://github.com/neworderofjamie> for an opinion whether anything and
what might have changed on the GeNN side. I am currently traveling and will
not be able to do detective work atm.
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thesamovar
commented on July 17, 2024
I think what you're looking for is https://git-scm.com/docs/git-bisect. :)
from brian2genn.
denisalevi
commented on July 17, 2024
Alright, I found the problem... I almost couldn't reproduce my results from above... what a pain... looks like it was me after all, nothing in GeNN or brian2GeNN.
I got rid of the lastupdate variable when its not needed to save memory (see PR brian-team/brian2#979). Since those changes are not merged yet (and might not get merged as lastupdate might be removed entirely for not event-driven synapses, see PR discussion), I just add those changes through a diff file, which I apply when I check out a new brian2 version. But that diff file is tracked by our brian2cuda repo. And for the blue plot above, those changed were not included in the diff file.
I ran the brian2 COBAHH example modified for N=1e5 neurons with set_device('genn'), no monitor and with print device._last_run_time at the end of the script (needs the changes from my PR #65 to work). With the lastupdate variable last_run_time is ~2s, without its ~10s.
Here is a diff of the generated code. My guess would be it has to do with the missing convert_dynamic_arrays_2_sparse_synapses calls?
Anyways. If the lastupdate variable gets removed, there needs to be some change in brian2genn I guess. :)
diff of generated code
diff -ur '-x*.o' -xresults -xtags -xmain GeNNworkspace_fast/code_objects/synapses_1_synapses_create_generator_codeobject.cpp GeNNworkspace_slow/code_objects/synapses_1_synapses_create_generator_codeobject.cpp
--- GeNNworkspace_fast/code_objects/synapses_1_synapses_create_generator_codeobject.cpp 2018-08-15 15:31:43.582184617 +0200
+++ GeNNworkspace_slow/code_objects/synapses_1_synapses_create_generator_codeobject.cpp 2018-08-15 15:21:00.006339188 +0200
@@ -386,7 +386,6 @@
_dynamic_array_synapses_1__synaptic_post.resize(newsize);
_dynamic_array_synapses_1__synaptic_pre.resize(newsize);
_dynamic_array_synapses_1_delay.resize(newsize);
- _dynamic_array_synapses_1_lastupdate.resize(newsize);
// Also update the total number of synapses
_ptr_array_synapses_1_N[0] = newsize;
diff -ur '-x*.o' -xresults -xtags -xmain GeNNworkspace_fast/code_objects/synapses_synapses_create_generator_codeobject.cpp GeNNworkspace_slow/code_objects/synapses_synapses_create_generator_codeobject.cpp
--- GeNNworkspace_fast/code_objects/synapses_synapses_create_generator_codeobject.cpp 2018-08-15 15:31:43.618185280 +0200
+++ GeNNworkspace_slow/code_objects/synapses_synapses_create_generator_codeobject.cpp 2018-08-15 15:21:00.230343308 +0200
@@ -386,7 +386,6 @@
_dynamic_array_synapses__synaptic_post.resize(newsize);
_dynamic_array_synapses__synaptic_pre.resize(newsize);
_dynamic_array_synapses_delay.resize(newsize);
- _dynamic_array_synapses_lastupdate.resize(newsize);
// Also update the total number of synapses
_ptr_array_synapses_N[0] = newsize;
diff -ur '-x*.o' -xresults -xtags -xmain GeNNworkspace_fast/magicnetwork_model_CODE/definitions.h GeNNworkspace_slow/magicnetwork_model_CODE/definitions.h
--- GeNNworkspace_fast/magicnetwork_model_CODE/definitions.h 2018-08-15 15:31:53.450366374 +0200
+++ GeNNworkspace_slow/magicnetwork_model_CODE/definitions.h 2018-08-15 15:26:56.020889812 +0200
@@ -87,13 +87,9 @@
extern double * inSynsynapses;
extern double * d_inSynsynapses;
extern SparseProjection Csynapses;
-extern double * lastupdatesynapses;
-extern double * d_lastupdatesynapses;
extern double * inSynsynapses_1;
extern double * d_inSynsynapses_1;
extern SparseProjection Csynapses_1;
-extern double * lastupdatesynapses_1;
-extern double * d_lastupdatesynapses_1;
#define Conductance SparseProjection
/*struct Conductance is deprecated.
diff -ur '-x*.o' -xresults -xtags -xmain GeNNworkspace_fast/magicnetwork_model_CODE/runner.cc GeNNworkspace_slow/magicnetwork_model_CODE/runner.cc
--- GeNNworkspace_fast/magicnetwork_model_CODE/runner.cc 2018-08-15 15:31:53.470366742 +0200
+++ GeNNworkspace_slow/magicnetwork_model_CODE/runner.cc 2018-08-15 15:26:56.132891874 +0200
@@ -72,9 +72,6 @@
__device__ unsigned int *dd_indInGsynapses;
unsigned int *d_indsynapses;
__device__ unsigned int *dd_indsynapses;
-double * lastupdatesynapses;
-double * d_lastupdatesynapses;
-__device__ double * dd_lastupdatesynapses;
double * inSynsynapses_1;
double * d_inSynsynapses_1;
__device__ double * dd_inSynsynapses_1;
@@ -83,9 +80,6 @@
__device__ unsigned int *dd_indInGsynapses_1;
unsigned int *d_indsynapses_1;
__device__ unsigned int *dd_indsynapses_1;
-double * lastupdatesynapses_1;
-double * d_lastupdatesynapses_1;
-__device__ double * dd_lastupdatesynapses_1;
//-------------------------------------------------------------------------
/*! \brief Function to convert a firing probability (per time step)
@@ -221,8 +215,6 @@
Csynapses.remap= NULL;
deviceMemAllocate(&d_indInGsynapses, dd_indInGsynapses, 100001 * sizeof(unsigned int));
deviceMemAllocate(&d_indsynapses, dd_indsynapses, Csynapses.connN * sizeof(unsigned int));
- cudaHostAlloc(&lastupdatesynapses, Csynapses.connN * sizeof(double), cudaHostAllocPortable);
- deviceMemAllocate(&d_lastupdatesynapses, dd_lastupdatesynapses, Csynapses.connN * sizeof(double));
}
void createSparseConnectivityFromDensesynapses(int preN,int postN, double *denseMatrix){
@@ -240,8 +232,6 @@
Csynapses_1.remap= NULL;
deviceMemAllocate(&d_indInGsynapses_1, dd_indInGsynapses_1, 100001 * sizeof(unsigned int));
deviceMemAllocate(&d_indsynapses_1, dd_indsynapses_1, Csynapses_1.connN * sizeof(unsigned int));
- cudaHostAlloc(&lastupdatesynapses_1, Csynapses_1.connN * sizeof(double), cudaHostAllocPortable);
- deviceMemAllocate(&d_lastupdatesynapses_1, dd_lastupdatesynapses_1, Csynapses_1.connN * sizeof(double));
}
void createSparseConnectivityFromDensesynapses_1(int preN,int postN, double *denseMatrix){
@@ -252,10 +242,8 @@
size_t size;
size = Csynapses.connN;
initializeSparseArray(Csynapses, d_indsynapses, d_indInGsynapses,100000);
-CHECK_CUDA_ERRORS(cudaMemcpy(d_lastupdatesynapses, lastupdatesynapses, sizeof(double) * size , cudaMemcpyHostToDevice));
size = Csynapses_1.connN;
initializeSparseArray(Csynapses_1, d_indsynapses_1, d_indInGsynapses_1,100000);
-CHECK_CUDA_ERRORS(cudaMemcpy(d_lastupdatesynapses_1, lastupdatesynapses_1, sizeof(double) * size , cudaMemcpyHostToDevice));
}
void initmagicnetwork_model()
@@ -295,8 +283,6 @@
CHECK_CUDA_ERRORS(cudaFree(d_indInGsynapses));
CHECK_CUDA_ERRORS(cudaFreeHost(Csynapses.ind));
CHECK_CUDA_ERRORS(cudaFree(d_indsynapses));
- CHECK_CUDA_ERRORS(cudaFreeHost(lastupdatesynapses));
- CHECK_CUDA_ERRORS(cudaFree(d_lastupdatesynapses));
CHECK_CUDA_ERRORS(cudaFreeHost(inSynsynapses_1));
CHECK_CUDA_ERRORS(cudaFree(d_inSynsynapses_1));
Csynapses_1.connN= 0;
@@ -304,8 +290,6 @@
CHECK_CUDA_ERRORS(cudaFree(d_indInGsynapses_1));
CHECK_CUDA_ERRORS(cudaFreeHost(Csynapses_1.ind));
CHECK_CUDA_ERRORS(cudaFree(d_indsynapses_1));
- CHECK_CUDA_ERRORS(cudaFreeHost(lastupdatesynapses_1));
- CHECK_CUDA_ERRORS(cudaFree(d_lastupdatesynapses_1));
}
void exitGeNN(){
diff -ur '-x*.o' -xresults -xtags -xmain GeNNworkspace_fast/magicnetwork_model_CODE/runnerGPU.cc GeNNworkspace_slow/magicnetwork_model_CODE/runnerGPU.cc
--- GeNNworkspace_fast/magicnetwork_model_CODE/runnerGPU.cc 2018-08-15 15:31:53.474366816 +0200
+++ GeNNworkspace_slow/magicnetwork_model_CODE/runnerGPU.cc 2018-08-15 15:26:56.136891947 +0200
@@ -63,14 +63,12 @@
void pushsynapsesStateToDevice()
{
size_t size = Csynapses.connN;
- CHECK_CUDA_ERRORS(cudaMemcpy(d_lastupdatesynapses, lastupdatesynapses, size * sizeof(double), cudaMemcpyHostToDevice));
CHECK_CUDA_ERRORS(cudaMemcpy(d_inSynsynapses, inSynsynapses, 100000 * sizeof(double), cudaMemcpyHostToDevice));
}
void pushsynapses_1StateToDevice()
{
size_t size = Csynapses_1.connN;
- CHECK_CUDA_ERRORS(cudaMemcpy(d_lastupdatesynapses_1, lastupdatesynapses_1, size * sizeof(double), cudaMemcpyHostToDevice));
CHECK_CUDA_ERRORS(cudaMemcpy(d_inSynsynapses_1, inSynsynapses_1, 100000 * sizeof(double), cudaMemcpyHostToDevice));
}
@@ -118,14 +116,12 @@
void pullsynapsesStateFromDevice()
{
size_t size = Csynapses.connN;
- CHECK_CUDA_ERRORS(cudaMemcpy(lastupdatesynapses, d_lastupdatesynapses, size * sizeof(double), cudaMemcpyDeviceToHost));
CHECK_CUDA_ERRORS(cudaMemcpy(inSynsynapses, d_inSynsynapses, 100000 * sizeof(double), cudaMemcpyDeviceToHost));
}
void pullsynapses_1StateFromDevice()
{
size_t size = Csynapses_1.connN;
- CHECK_CUDA_ERRORS(cudaMemcpy(lastupdatesynapses_1, d_lastupdatesynapses_1, size * sizeof(double), cudaMemcpyDeviceToHost));
CHECK_CUDA_ERRORS(cudaMemcpy(inSynsynapses_1, d_inSynsynapses_1, 100000 * sizeof(double), cudaMemcpyDeviceToHost));
}
diff -ur '-x*.o' -xresults -xtags -xmain GeNNworkspace_fast/magicnetwork_model_CODE/synapseFnct.cc GeNNworkspace_slow/magicnetwork_model_CODE/synapseFnct.cc
--- GeNNworkspace_fast/magicnetwork_model_CODE/synapseFnct.cc 2018-08-15 15:31:53.654370132 +0200
+++ GeNNworkspace_slow/magicnetwork_model_CODE/synapseFnct.cc 2018-08-15 15:26:56.184892831 +0200
@@ -32,7 +32,6 @@
using namespace synapses_weightupdate_simCode;
addtoinSyn = (6.00000000000000079e-09);
inSynsynapses[ipost] += addtoinSyn;
-lastupdatesynapses[Csynapses.indInG[ipre] + j] = t;
}
}
}
@@ -48,7 +47,6 @@
using namespace synapses_1_weightupdate_simCode;
addtoinSyn = (6.70000000000000044e-08);
inSynsynapses_1[ipost] += addtoinSyn;
-lastupdatesynapses_1[Csynapses_1.indInG[ipre] + j] = t;
}
}
}
diff -ur '-x*.o' -xresults -xtags -xmain GeNNworkspace_fast/magicnetwork_model_CODE/synapseKrnl.cc GeNNworkspace_slow/magicnetwork_model_CODE/synapseKrnl.cc
--- GeNNworkspace_fast/magicnetwork_model_CODE/synapseKrnl.cc 2018-08-15 15:31:53.486367037 +0200
+++ GeNNworkspace_slow/magicnetwork_model_CODE/synapseKrnl.cc 2018-08-15 15:26:56.148892168 +0200
@@ -48,7 +48,6 @@
ipost = dd_indsynapses[prePos];
addtoinSyn = (6.00000000000000079e-09);
atomicAddSW(&dd_inSynsynapses[ipost], addtoinSyn);
-dd_lastupdatesynapses[prePos] = t;
}
}
@@ -93,7 +92,6 @@
ipost = dd_indsynapses_1[prePos];
addtoinSyn = (6.70000000000000044e-08);
atomicAddSW(&dd_inSynsynapses_1[ipost], addtoinSyn);
-dd_lastupdatesynapses_1[prePos] = t;
}
}
diff -ur '-x*.o' -xresults -xtags -xmain GeNNworkspace_fast/magicnetwork_model.cpp GeNNworkspace_slow/magicnetwork_model.cpp
--- GeNNworkspace_fast/magicnetwork_model.cpp 2018-08-15 15:31:43.794188522 +0200
+++ GeNNworkspace_slow/magicnetwork_model.cpp 2018-08-15 15:21:00.546349120 +0200
@@ -66,13 +66,11 @@
// initial variables (synapses)
// one additional initial variable for hidden_weightmatrix
-double synapses_ini[2]= {
- 0.0,
+double synapses_ini[1]= {
};
double *synapses_postsyn_ini= NULL;
-double synapses_1_ini[2]= {
- 0.0,
+double synapses_1_ini[1]= {
};
double *synapses_1_postsyn_ini= NULL;
@@ -318,8 +316,6 @@
s.pNames.clear();
s.dpNames.clear();
// step 1: variables
- s.varNames.push_back("lastupdate");
- s.varTypes.push_back("double");
// step 2: scalar (shared) variables
s.extraGlobalSynapseKernelParameters.clear();
s.extraGlobalSynapseKernelParameterTypes.clear();
@@ -327,8 +323,7 @@
s.pNames.push_back("we");
// step 4: add simcode
s.simCode= "$(addtoinSyn) = $(we);\n\
-$(updatelinsyn);\n\
-$(lastupdate) = t;";
+$(updatelinsyn);";
s.simLearnPost= "";
s.synapseDynamics= "";
s.simCode_supportCode= "\n\
@@ -449,8 +444,6 @@
s.pNames.clear();
s.dpNames.clear();
// step 1: variables
- s.varNames.push_back("lastupdate");
- s.varTypes.push_back("double");
// step 2: scalar (shared) variables
s.extraGlobalSynapseKernelParameters.clear();
s.extraGlobalSynapseKernelParameterTypes.clear();
@@ -458,8 +451,7 @@
s.pNames.push_back("wi");
// step 4: add simcode
s.simCode= "$(addtoinSyn) = $(wi);\n\
-$(updatelinsyn);\n\
-$(lastupdate) = t;";
+$(updatelinsyn);";
s.simLearnPost= "";
s.synapseDynamics= "";
s.simCode_supportCode= "\n\
diff -ur '-x*.o' -xresults -xtags -xmain GeNNworkspace_fast/main.cpp GeNNworkspace_slow/main.cpp
--- GeNNworkspace_fast/main.cpp 2018-08-15 15:31:43.866189848 +0200
+++ GeNNworkspace_slow/main.cpp 2018-08-15 15:21:00.634350738 +0200
@@ -89,14 +89,8 @@
// translate to GeNN synaptic arrays
allocatesynapses(brian::_dynamic_array_synapses__synaptic_pre.size());
vector<vector<int32_t> > _synapses_bypre;
- convert_dynamic_arrays_2_sparse_synapses(brian::_dynamic_array_synapses__synaptic_pre, brian::_dynamic_array_synapses__synaptic_post,
- brian::_dynamic_array_synapses_lastupdate, Csynapses, lastupdatesynapses,
- 100000, 100000, _synapses_bypre, b2g::FULL_MONTY);
allocatesynapses_1(brian::_dynamic_array_synapses_1__synaptic_pre.size());
vector<vector<int32_t> > _synapses_1_bypre;
- convert_dynamic_arrays_2_sparse_synapses(brian::_dynamic_array_synapses_1__synaptic_pre, brian::_dynamic_array_synapses_1__synaptic_post,
- brian::_dynamic_array_synapses_1_lastupdate, Csynapses_1, lastupdatesynapses_1,
- 100000, 100000, _synapses_1_bypre, b2g::FULL_MONTY);
initmagicnetwork_model();
// copy variable arrays
@@ -146,9 +140,7 @@
// translate GeNN arrays back to synaptic arrays
- convert_sparse_synapses_2_dynamic_arrays(Csynapses, lastupdatesynapses, 100000, 100000, brian::_dynamic_array_synapses__synaptic_pre, brian::_dynamic_array_synapses__synaptic_post, brian::_dynamic_array_synapses_lastupdate, b2g::FULL_MONTY);
- convert_sparse_synapses_2_dynamic_arrays(Csynapses_1, lastupdatesynapses_1, 100000, 100000, brian::_dynamic_array_synapses_1__synaptic_pre, brian::_dynamic_array_synapses_1__synaptic_post, brian::_dynamic_array_synapses_1_lastupdate, b2g::FULL_MONTY);
// copy variable arrays
diff -ur '-x*.o' -xresults -xtags -xmain GeNNworkspace_fast/objects.cpp GeNNworkspace_slow/objects.cpp
--- GeNNworkspace_fast/objects.cpp 2018-08-15 15:31:43.358180495 +0200
+++ GeNNworkspace_slow/objects.cpp 2018-08-15 15:20:59.618332052 +0200
@@ -56,13 +56,11 @@
std::vector<int32_t> _dynamic_array_synapses_1__synaptic_post;
std::vector<int32_t> _dynamic_array_synapses_1__synaptic_pre;
std::vector<double> _dynamic_array_synapses_1_delay;
-std::vector<double> _dynamic_array_synapses_1_lastupdate;
std::vector<int32_t> _dynamic_array_synapses_1_N_incoming;
std::vector<int32_t> _dynamic_array_synapses_1_N_outgoing;
std::vector<int32_t> _dynamic_array_synapses__synaptic_post;
std::vector<int32_t> _dynamic_array_synapses__synaptic_pre;
std::vector<double> _dynamic_array_synapses_delay;
-std::vector<double> _dynamic_array_synapses_lastupdate;
std::vector<int32_t> _dynamic_array_synapses_N_incoming;
std::vector<int32_t> _dynamic_array_synapses_N_outgoing;
@@ -400,19 +398,6 @@
{
std::cout << "Error writing output file for _dynamic_array_synapses_1_delay." << endl;
}
- ofstream outfile__dynamic_array_synapses_1_lastupdate;
- outfile__dynamic_array_synapses_1_lastupdate.open("results/_dynamic_array_synapses_1_lastupdate_6875119916677774017", ios::binary | ios::out);
- if(outfile__dynamic_array_synapses_1_lastupdate.is_open())
- {
- if (! _dynamic_array_synapses_1_lastupdate.empty() )
- {
- outfile__dynamic_array_synapses_1_lastupdate.write(reinterpret_cast<char*>(&_dynamic_array_synapses_1_lastupdate[0]), _dynamic_array_synapses_1_lastupdate.size()*sizeof(_dynamic_array_synapses_1_lastupdate[0]));
- outfile__dynamic_array_synapses_1_lastupdate.close();
- }
- } else
- {
- std::cout << "Error writing output file for _dynamic_array_synapses_1_lastupdate." << endl;
- }
ofstream outfile__dynamic_array_synapses_1_N_incoming;
outfile__dynamic_array_synapses_1_N_incoming.open("results/_dynamic_array_synapses_1_N_incoming_-5364435978754666149", ios::binary | ios::out);
if(outfile__dynamic_array_synapses_1_N_incoming.is_open())
@@ -478,19 +463,6 @@
{
std::cout << "Error writing output file for _dynamic_array_synapses_delay." << endl;
}
- ofstream outfile__dynamic_array_synapses_lastupdate;
- outfile__dynamic_array_synapses_lastupdate.open("results/_dynamic_array_synapses_lastupdate_562699891839928247", ios::binary | ios::out);
- if(outfile__dynamic_array_synapses_lastupdate.is_open())
- {
- if (! _dynamic_array_synapses_lastupdate.empty() )
- {
- outfile__dynamic_array_synapses_lastupdate.write(reinterpret_cast<char*>(&_dynamic_array_synapses_lastupdate[0]), _dynamic_array_synapses_lastupdate.size()*sizeof(_dynamic_array_synapses_lastupdate[0]));
- outfile__dynamic_array_synapses_lastupdate.close();
- }
- } else
- {
- std::cout << "Error writing output file for _dynamic_array_synapses_lastupdate." << endl;
- }
ofstream outfile__dynamic_array_synapses_N_incoming;
outfile__dynamic_array_synapses_N_incoming.open("results/_dynamic_array_synapses_N_incoming_6651214916728133133", ios::binary | ios::out);
if(outfile__dynamic_array_synapses_N_incoming.is_open())
diff -ur '-x*.o' -xresults -xtags -xmain GeNNworkspace_fast/objects.h GeNNworkspace_slow/objects.h
--- GeNNworkspace_fast/objects.h 2018-08-15 15:31:43.362180565 +0200
+++ GeNNworkspace_slow/objects.h 2018-08-15 15:20:59.622332125 +0200
@@ -25,13 +25,11 @@
extern std::vector<int32_t> _dynamic_array_synapses_1__synaptic_post;
extern std::vector<int32_t> _dynamic_array_synapses_1__synaptic_pre;
extern std::vector<double> _dynamic_array_synapses_1_delay;
-extern std::vector<double> _dynamic_array_synapses_1_lastupdate;
extern std::vector<int32_t> _dynamic_array_synapses_1_N_incoming;
extern std::vector<int32_t> _dynamic_array_synapses_1_N_outgoing;
extern std::vector<int32_t> _dynamic_array_synapses__synaptic_post;
extern std::vector<int32_t> _dynamic_array_synapses__synaptic_pre;
extern std::vector<double> _dynamic_array_synapses_delay;
-extern std::vector<double> _dynamic_array_synapses_lastupdate;
extern std::vector<int32_t> _dynamic_array_synapses_N_incoming;
extern std::vector<int32_t> _dynamic_array_synapses_N_outgoing;from brian2genn.
denisalevi
commented on July 17, 2024
@mstimberg Since lastupdate is removed now in brian2, this issue might arise again.
from brian2genn.
Related Issues (20)
- Question: How to work around restriction of synaptic output variable or summed variable? HOT 4
- Cannot open include file: 'brianlib/stdint_compat.h from clocks.h HOT 22
- Building genn executable fails after a certain number of successful runs when parameter fitting HOT 12
- Workaround for network-operation? HOT 30
- Use GeNN's new run_regularly mechanisms for run_regularly statements
- Use GeNN's initvar snippets for synapse creation
- Brian2genn model build is completed, but system cannot find the path specified HOT 17
- RuntimeError: Project compilation failed HOT 2
- Undeclared Identifier Error for Multiple Runs HOT 6
- potential problem with handling of build_options
- Custom header files are missing when used in `device.insert_code` calls HOT 1
- C99 math functions fail on integer type arguments HOT 18
- Inaccurate updates when having multiple differential equations in neuron groups HOT 3
- StateMonitor fails to collect data from some Synapses HOT 3
- use individually named dir instead of GeNNworkspace HOT 1
- [Feature request] Support for slower clocks in Monitors HOT 3
- RNG & seeding HOT 4
- SpikeGenerator problem HOT 2
- Error code 50 HOT 3
- Failed to build, error: ‘spikeCount_neurongroup’ was not declared in this scope HOT 1
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