Fix Fast Fourier Transforms in operator API

* Change ignore list in generate_api.py to generate operators
information.
* Fix serialization attributes mapping for operator FFT and RFFT
* Add a unit test for Fft2d and Rfft2d operator

Change-Id: I3ad7a77a3c46aa586834188bab42cbdcc423e834
Signed-off-by: Dhruv Chauhan <dhruv.chauhan@arm.com>

1 files changed, 86 insertions, 0 deletions

diff --git a/reference_model/src/operators.cc b/reference_model/src/operators.cc
index 13e8b12..015b28f 100644
--- a/reference_model/src/operators.cc
+++ b/reference_model/src/operators.cc
@@ -342,6 +342,51 @@ extern "C"
         return tosa_status_valid;
     }
 
+    tosa_status_t tosa_run_fft2d(tosa_tensor_t client_input_real,
+                                 tosa_tensor_t client_input_imag,
+                                 const bool client_inverse,
+                                 tosa_tensor_t client_output_real,
+                                 const bool client_local_bound,
+                                 tosa_tensor_t client_output_imag,
+                                 const func_ctx_t& func_ctx)
+    {
+        // Create operator attributes
+        TosaFFTAttribute attr(client_inverse, client_local_bound);
+
+        // Create tensors
+        tosa::TosaSerializationTensor* input_real  = translate_client_tensor(client_input_real, "input_real");
+        tosa::TosaSerializationTensor* input_imag  = translate_client_tensor(client_input_imag, "input_imag");
+        tosa::TosaSerializationTensor* output_real = translate_client_tensor(client_output_real, "output_real");
+        tosa::TosaSerializationTensor* output_imag = translate_client_tensor(client_output_imag, "output_imag");
+
+        // Create operator
+        auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_FFT2D, tosa::Attribute::Attribute_FFTAttribute,
+                                                      &attr, { input_real->GetName(), input_imag->GetName() },
+                                                      { output_real->GetName(), output_imag->GetName() });
+
+        // Create a tosa single-op basic block
+        tosa::TosaSerializationBasicBlock block(
+            "fft2d", "main", { op }, { input_real, input_imag, output_real, output_imag },
+            { input_real->GetName(), input_imag->GetName() }, { output_real->GetName(), output_imag->GetName() });
+
+        // Setup model
+        TosaReference::ModelRunnerImpl runner(func_ctx.func_config, func_ctx.func_debug);
+        TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block));
+        TOSA_RETURN_ON_ERROR(runner.setInput(input_real->GetName(), client_input_real.data, client_input_real.size));
+        TOSA_RETURN_ON_ERROR(runner.setInput(input_imag->GetName(), client_input_imag.data, client_input_imag.size));
+
+        // Execute
+        TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run());
+
+        // Extract outputs
+        TOSA_RETURN_ON_ERROR(
+            runner.getOutput(output_real->GetName(), client_output_real.data, client_output_real.size));
+        TOSA_RETURN_ON_ERROR(
+            runner.getOutput(output_imag->GetName(), client_output_imag.data, client_output_imag.size));
+
+        return tosa_status_valid;
+    }
+
     tosa_status_t tosa_run_fully_connected(tosa_tensor_t client_input,
                                            tosa_tensor_t client_weight,
                                            tosa_tensor_t client_bias,
@@ -465,6 +510,47 @@ extern "C"
         return tosa_status_valid;
     }
 
+    tosa_status_t tosa_run_rfft2d(tosa_tensor_t client_input,
+                                  tosa_tensor_t client_output_real,
+                                  const bool client_local_bound,
+                                  tosa_tensor_t client_output_imag,
+                                  const func_ctx_t& func_ctx)
+    {
+        // Create operator attributes
+        TosaRFFTAttribute attr(client_local_bound);
+
+        // Create tensors
+        tosa::TosaSerializationTensor* input       = translate_client_tensor(client_input, "input");
+        tosa::TosaSerializationTensor* output_real = translate_client_tensor(client_output_real, "output_real");
+        tosa::TosaSerializationTensor* output_imag = translate_client_tensor(client_output_imag, "output_imag");
+
+        // Create operator
+        auto op = new tosa::TosaSerializationOperator(tosa::Op::Op_RFFT2D, tosa::Attribute::Attribute_RFFTAttribute,
+                                                      &attr, { input->GetName() },
+                                                      { output_real->GetName(), output_imag->GetName() });
+
+        // Create a tosa single-op basic block
+        tosa::TosaSerializationBasicBlock block("rfft2d", "main", { op }, { input, output_real, output_imag },
+                                                { input->GetName() },
+                                                { output_real->GetName(), output_imag->GetName() });
+
+        // Setup model
+        TosaReference::ModelRunnerImpl runner(func_ctx.func_config, func_ctx.func_debug);
+        TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.initialize(block));
+        TOSA_RETURN_ON_ERROR(runner.setInput(input->GetName(), client_input.data, client_input.size));
+
+        // Execute
+        TOSA_RETURN_ON_GRAPH_STATUS_ERROR(runner.run());
+
+        // Extract outputs
+        TOSA_RETURN_ON_ERROR(
+            runner.getOutput(output_real->GetName(), client_output_real.data, client_output_real.size));
+        TOSA_RETURN_ON_ERROR(
+            runner.getOutput(output_imag->GetName(), client_output_imag.data, client_output_imag.size));
+
+        return tosa_status_valid;
+    }
+
     tosa_status_t tosa_run_transpose_conv2d(tosa_tensor_t client_input,
                                             tosa_tensor_t client_weight,
                                             tosa_tensor_t client_bias,