Fix MetaOperator test

unit_tests/operator/Test_MetaOperator.cpp

@@ -9,6 +9,12 @@
  *
  ********************************************************************************/
 
+#include <cstddef>  // std::size_t
+#include <memory>
+#include <string>
+#include <utility>  // std::pair
+#include <vector>
+
 #include <catch2/catch_test_macros.hpp>
 
 #include "aidge/operator/Pop.hpp"
@@ -17,7 +23,6 @@
 #include "aidge/graph/GraphView.hpp"
 #include "aidge/graph/Testing.hpp"
 #include "aidge/recipes/Recipes.hpp"
-#include <cstddef>
 
 using namespace Aidge;
 
@@ -37,8 +42,7 @@ TEST_CASE("[core/operators] MetaOperator", "[Operator][MetaOperator]") {
         REQUIRE(op->nbData() == 1);
         REQUIRE(op->nbOutputs() == 1);
 
-        std::shared_ptr<Tensor> myInput = std::make_shared<Tensor>();
-        myInput->resize({2,3,5,5});
+        std::shared_ptr<Tensor> myInput = std::make_shared<Tensor>(std::vector<std::size_t>({2,1,5,5}));
         std::shared_ptr<OperatorTensor> opTensor = std::static_pointer_cast<OperatorTensor>(op->getOperator());
         opTensor->associateInput(0,myInput);
         opTensor->forwardDims();

unit_tests/operator/Test_MetaOperator.py

-import onnx
-from onnx.backend.test.case.node.lstm import LSTMHelper
-from onnx.backend.test.case.node import expect
-import numpy as np
-
-input = np.array([[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]], [[2.0, 3.0], [4.0, 5.0], [6.0, 7.0]]]).astype(np.float32)
-print(input.shape)
-input_size = 2
-hidden_size = 3
-weight_scale = 0.1
-number_of_gates = 4
-
-node = onnx.helper.make_node(
-    "LSTM", inputs=["X", "W", "R"], outputs=["", "Y_h"], hidden_size=hidden_size
-)
-
-W = weight_scale * np.ones(
-    (1, number_of_gates * hidden_size, input_size)
-).astype(np.float32)
-R = weight_scale * np.ones(
-    (1, number_of_gates * hidden_size, hidden_size)
-).astype(np.float32)
-
-lstm = LSTMHelper(X=input, W=W, R=R)
-_, Y_h = lstm.step()
-
-print(lstm.C_0 )
-
-seq_length = input.shape[0]
-batch_size = input.shape[1]
-
-print(seq_length)
-print(np.split(input, input.shape[0], axis=0))
-
-expect(
-    node,
-    inputs=[input, W, R],
-    outputs=[Y_h.astype(np.float32)],
-    name="test_lstm_defaults",
-)
-
-print(Y_h)
\ No newline at end of file