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fix: fix failed test cases caused by partition API changes #1460

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Merged
merged 1 commit into from
Nov 18, 2022
Merged

fix: fix failed test cases caused by partition API changes #1460

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2 changes: 1 addition & 1 deletion tests/core/partitioning/test_shape_analysis.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@ bool checkSegmentedBlockInputShape(
if (segmented_blocks.size() != in_shape.size())
return false;
for (size_t i = 0; i < segmented_blocks.size(); ++i) {
auto cur_block_in_shapes = segmented_blocks[i].in_shapes();
auto cur_block_in_shapes = segmented_blocks[i].in_opt_shapes();
if (cur_block_in_shapes.size() != in_shape[i].size())
return false;
for (size_t j = 0; j < cur_block_in_shapes.size(); ++j) {
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15 changes: 9 additions & 6 deletions tests/core/partitioning/test_type_auto_conversion.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -51,10 +51,11 @@ TEST(Partitioning, ExplicitNodeAutoConversionCorrectly) {
inputs_map.insert({g->inputs()[1], {inputs[1]}});
input_types.insert({g->inputs()[1], {{at::kInt}}});

auto input_ivalues_map = torch_tensorrt::core::partitioning::generateRandomInputs(inputs_map, input_types);

partitioning_info.collection_input_spec_map = inputs_map;
torch_tensorrt::core::partitioning::PartitioningCtx ctx(g->block(), partitioning_info);
torch_tensorrt::core::partitioning::partition(&ctx, input_ivalues_map);
ctx.input_types_map = input_types;
torch_tensorrt::core::partitioning::populateInputIValues(&ctx);
torch_tensorrt::core::partitioning::partition(&ctx);
auto segmented_blocks = ctx.partitioned_blocks.begin()->second;

for (auto& seg_block : segmented_blocks) {
Expand Down Expand Up @@ -93,10 +94,12 @@ TEST(Partitioning, ImplicitAutoConversionCorrectly) {
inputs_map.insert({g->inputs()[0], {inputs[0]}});
input_types.insert({g->inputs()[0], {{at::kFloat}}});

auto input_ivalues_map = torch_tensorrt::core::partitioning::generateRandomInputs(inputs_map, input_types);

partitioning_info.collection_input_spec_map = inputs_map;
torch_tensorrt::core::partitioning::PartitioningCtx ctx(g->block(), partitioning_info);
torch_tensorrt::core::partitioning::partition(&ctx, input_ivalues_map);
ctx.input_types_map = input_types;

torch_tensorrt::core::partitioning::populateInputIValues(&ctx);
torch_tensorrt::core::partitioning::partition(&ctx);
auto segmented_blocks = ctx.partitioned_blocks.begin()->second;

for (auto& seg_block : segmented_blocks) {
Expand Down