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authorGrant Watson <grant.watson@arm.com>2023-10-31 19:02:14 +0000
committerEric Kunze <eric.kunze@arm.com>2023-10-31 20:58:15 +0000
commitce53cd103cc2ac09b43b4fdf586249e626bd5627 (patch)
treefc2b664693a3d11587f9e875b6e3496d38f62a21 /reference_model/test
parent72dcab775c7a84037135bf365086ca976f3220ef (diff)
downloadreference_model-ce53cd103cc2ac09b43b4fdf586249e626bd5627.tar.gz
Fix Reshape in operator API
- The API incorrectly requires the new shape to be passed in twice. - This fix changes the name of the attribute from new_shape to shape in the generate_api.py script. - Adds a unit test to verify that the reshape operator works correctly. Signed-off-by: Grant Watson <grant.watson@arm.com> Change-Id: I07dd0ef786c747896b6e54f4eada0e7b97c6cef3
Diffstat (limited to 'reference_model/test')
-rw-r--r--reference_model/test/model_runner_tests.cpp41
1 files changed, 41 insertions, 0 deletions
diff --git a/reference_model/test/model_runner_tests.cpp b/reference_model/test/model_runner_tests.cpp
index 7cf9d68..e838ea1 100644
--- a/reference_model/test/model_runner_tests.cpp
+++ b/reference_model/test/model_runner_tests.cpp
@@ -327,6 +327,47 @@ TEST_SUITE("model_runner")
compareOutput(dstData, expectedData, expectedData.size());
}
+ TEST_CASE("op_entry_reshape")
+ {
+ // Inputs/Outputs
+ tosa_datatype_t dt = tosa_datatype_fp32_t;
+ std::vector<int32_t> input_shape = { 2, 2 };
+ std::vector<int32_t> new_shape = { 1, 2 };
+ std::vector<int32_t> output_shape = { 4, 1 };
+ std::vector<float> srcData1(4, 4.0f);
+ std::vector<int32_t> shapeData = { 4, 1 };
+ std::vector<float> dstData(4, 0.0f);
+
+ tosa_tensor_t input1;
+ input1.shape = input_shape.data();
+ input1.num_dims = input_shape.size();
+ input1.data_type = dt;
+ input1.data = reinterpret_cast<uint8_t*>(srcData1.data());
+ input1.size = srcData1.size() * sizeof(float);
+
+ tosa_tensor_t shape;
+ shape.shape = new_shape.data();
+ shape.num_dims = new_shape.size();
+ shape.data_type = tosa_datatype_int32_t;
+ shape.data = reinterpret_cast<uint8_t*>(shapeData.data());
+ shape.size = shapeData.size() * sizeof(int32_t);
+
+ tosa_tensor_t output;
+ output.shape = output_shape.data();
+ output.num_dims = output_shape.size();
+ output.data_type = dt;
+ output.data = reinterpret_cast<uint8_t*>(dstData.data());
+ output.size = dstData.size() * sizeof(float);
+
+ // Execution
+ auto status = tosa_run_reshape(input1, shape, output, func_ctx_t{});
+ CHECK((status == tosa_status_valid));
+
+ // Compare results
+ std::vector<float> expectedData(4, 4.0f);
+ compareOutput(dstData, expectedData, expectedData.size());
+ }
+
TEST_CASE("op_entry_tile")
{
// Inputs/Outputs