diff options
Diffstat (limited to 'eval/src/tests/eval/simple_value/simple_value_test.cpp')
| -rw-r--r-- | eval/src/tests/eval/simple_value/simple_value_test.cpp | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/eval/src/tests/eval/simple_value/simple_value_test.cpp b/eval/src/tests/eval/simple_value/simple_value_test.cpp index c1301bf6b1a..f7bda441bfd 100644 --- a/eval/src/tests/eval/simple_value/simple_value_test.cpp +++ b/eval/src/tests/eval/simple_value/simple_value_test.cpp @@ -67,8 +67,8 @@ TensorSpec simple_value_join(const TensorSpec &a, const TensorSpec &b, join_fun_ TEST(SimpleValueTest, simple_values_can_be_converted_from_and_to_tensor_spec) { for (const auto &layout: layouts) { - for (TensorSpec expect : { layout.cpy().cells_float().gen(), - layout.cpy().cells_double().gen() }) + for (TensorSpec expect : { layout.cpy().cells_float(), + layout.cpy().cells_double() }) { std::unique_ptr<Value> value = value_from_spec(expect, SimpleValueBuilderFactory::get()); TensorSpec actual = spec_from_value(*value); @@ -79,8 +79,8 @@ TEST(SimpleValueTest, simple_values_can_be_converted_from_and_to_tensor_spec) { TEST(SimpleValueTest, simple_values_can_be_copied) { for (const auto &layout: layouts) { - for (TensorSpec expect : { layout.cpy().cells_float().gen(), - layout.cpy().cells_double().gen() }) + for (TensorSpec expect : { layout.cpy().cells_float(), + layout.cpy().cells_double() }) { std::unique_ptr<Value> value = value_from_spec(expect, SimpleValueBuilderFactory::get()); std::unique_ptr<Value> copy = SimpleValueBuilderFactory::get().copy(*value); @@ -130,11 +130,11 @@ TEST(SimpleValueTest, new_generic_join_works_for_simple_values) { for (size_t i = 0; i < join_layouts.size(); i += 2) { const auto l = join_layouts[i].cpy().seq(N_16ths); const auto r = join_layouts[i + 1].cpy().seq(N_16ths); - for (TensorSpec lhs : { l.cpy().cells_float().gen(), - l.cpy().cells_double().gen() }) + for (TensorSpec lhs : { l.cpy().cells_float(), + l.cpy().cells_double() }) { - for (TensorSpec rhs : { r.cpy().cells_float().gen(), - r.cpy().cells_double().gen() }) + for (TensorSpec rhs : { r.cpy().cells_float(), + r.cpy().cells_double() }) { for (auto fun: {operation::Add::f, operation::Sub::f, operation::Mul::f, operation::Div::f}) { SCOPED_TRACE(fmt("\n===\nLHS: %s\nRHS: %s\n===\n", lhs.to_string().c_str(), rhs.to_string().c_str())); |