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graphnorm.cc
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graphnorm.cc
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/* Copyright 2019 Stanford
*
* 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 "gnn.h"
LegionRuntime::Logger::Category log_norm("gnn");
Tensor Model::indegree_norm(const Tensor& _input)
{
GnnOp* op = new InDegreeNorm(*this, _input);
layers.push_back(op);
return op->outputs[0];
}
InDegreeNorm::InDegreeNorm(const Model& model,
const Tensor& _input)
: GnnOp(_input)
{
// InDegreeeNorm requires a node tensor
assert(_input.type == Tensor::NODE_TENSOR);
assert(_input.numDim == 2);
assert(_input.dims[1] == model.myGraph.numNodes);
numOutputs = 1;
outputs[0] = model.create_node_tensor<DATATYPE>(_input.dims[0]);
}
void InDegreeNorm::init(const Model& model)
{}
void InDegreeNorm::forward(const Model& model)
{
Context ctx = model.ctx;
Runtime* runtime = model.runtime;
//Rect<1> taskRect = runtime->get_index_space_domain(ctx, model.taskIS);
IndexLauncher launcher(INDEGREENORM_FWD_TASK_ID, model.taskIS,
TaskArgument(this, sizeof(InDegreeNorm)), model.taskArgs);
// regions[0]: in_row_ptrs
launcher.add_region_requirement(
RegionRequirement(model.myGraph.rowPtrLP, 0/*projection*/,
READ_ONLY, EXCLUSIVE, model.myGraph.rowPtrLR,
MAP_TO_FB_MEMORY));
launcher.add_field(0, FID_DATA);
// regions[1]: in_col_idxs
launcher.add_region_requirement(
RegionRequirement(model.myGraph.colIdxLP, 0/*projection*/,
READ_ONLY, EXCLUSIVE, model.myGraph.colIdxLR,
MAP_TO_FB_MEMORY));
launcher.add_field(1, FID_DATA);
// regions[2]: input
launcher.add_region_requirement(
RegionRequirement(inputs[0].part, 0/*projection*/,
READ_ONLY, EXCLUSIVE, inputs[0].region,
MAP_TO_ZC_MEMORY));
launcher.add_field(2, FID_DATA);
// regions[3]: ouptut
launcher.add_region_requirement(
RegionRequirement(outputs[0].part, 0/*projection*/,
WRITE_ONLY, EXCLUSIVE, outputs[0].region,
MAP_TO_ZC_MEMORY));
launcher.add_field(3, FID_DATA);
runtime->execute_index_space(ctx, launcher);
}
void InDegreeNorm::backward(const Model& model)
{
Context ctx = model.ctx;
Runtime* runtime = model.runtime;
//Rect<1> taskRect = runtime->get_index_space_domain(ctx, model.taskIS);
IndexLauncher launcher(INDEGREENORM_BWD_TASK_ID, model.taskIS,
TaskArgument(this, sizeof(InDegreeNorm)), model.taskArgs);
// regions[0]: in_row_ptrs
launcher.add_region_requirement(
RegionRequirement(model.myGraph.rowPtrLP, 0/*projection*/,
READ_ONLY, EXCLUSIVE, model.myGraph.rowPtrLR,
MAP_TO_FB_MEMORY));
launcher.add_field(0, FID_DATA);
// regions[1]: in_col_idxs
launcher.add_region_requirement(
RegionRequirement(model.myGraph.colIdxLP, 0/*projection*/,
READ_ONLY, EXCLUSIVE, model.myGraph.colIdxLR,
MAP_TO_FB_MEMORY));
launcher.add_field(1, FID_DATA);
// regions[2]: outputGrad
launcher.add_region_requirement(
RegionRequirement(outputs[0].part_grad, 0/*projection*/,
READ_ONLY, EXCLUSIVE, outputs[0].region_grad,
MAP_TO_ZC_MEMORY));
launcher.add_field(2, FID_DATA);
// regions[3]: inputGrad
launcher.add_region_requirement(
RegionRequirement(inputs[0].part_grad, 0/*projection*/,
resetInputGrads[0] ? WRITE_ONLY : READ_WRITE,
EXCLUSIVE, inputs[0].region_grad,
MAP_TO_ZC_MEMORY));
launcher.add_field(3, FID_DATA);
runtime->execute_index_space(ctx, launcher);
}