Added a case for fc

Signed-off-by: Chen Xin <jack.chen@verisilicon.com>

src/tim/vx/ops/fullyconnected_test.cc

@@ -0,0 +1,76 @@
+/****************************************************************************
+*
+*    Copyright (c) 2022 Vivante Corporation
+*
+*    Permission is hereby granted, free of charge, to any person obtaining a
+*    copy of this software and associated documentation files (the "Software"),
+*    to deal in the Software without restriction, including without limitation
+*    the rights to use, copy, modify, merge, publish, distribute, sublicense,
+*    and/or sell copies of the Software, and to permit persons to whom the
+*    Software is furnished to do so, subject to the following conditions:
+*
+*    The above copyright notice and this permission notice shall be included in
+*    all copies or substantial portions of the Software.
+*
+*    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+*    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+*    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+*    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+*    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+*    FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
+*    DEALINGS IN THE SOFTWARE.
+*
+*****************************************************************************/
+#include "tim/vx/context.h"
+#include "tim/vx/graph.h"
+#include "tim/vx/ops/fullyconnected.h"
+#include <iostream>
+#include "gtest/gtest.h"
+#include "test_utils.h"
+
+TEST(FullyConnected, unit_2_float_axis_0) {
+  auto ctx = tim::vx::Context::Create();
+  auto graph = ctx->CreateGraph();
+
+  tim::vx::ShapeType in_shape({2, 2});
+  tim::vx::ShapeType weight_shape({2, 3});
+  tim::vx::ShapeType bias_shape({3});
+  tim::vx::ShapeType out_shape({3, 2});
+  tim::vx::TensorSpec input_spec(tim::vx::DataType::FLOAT32, in_shape,
+                                 tim::vx::TensorAttribute::INPUT);
+  tim::vx::TensorSpec weight_spec(tim::vx::DataType::FLOAT32, weight_shape,
+                                   tim::vx::TensorAttribute::CONSTANT);
+  tim::vx::TensorSpec bias_spec(tim::vx::DataType::FLOAT32, bias_shape,
+                                   tim::vx::TensorAttribute::CONSTANT);
+  tim::vx::TensorSpec output_spec(tim::vx::DataType::FLOAT32, out_shape,
+                                  tim::vx::TensorAttribute::OUTPUT);
+  std::vector<float> in_data = {
+      1,4,2,6,
+  };
+  std::vector<float> weight = {
+      -3,3,2,1,0,4,
+  };
+  std::vector<float> bias = {
+      0.1, 0.4, 0.6,
+  };
+  std::vector<float> golden = {
+      9.1, 6.4, 16.6, 12.1, 10.4, 24.6,
+  };
+
+  auto input_tensor = graph->CreateTensor(input_spec);
+  auto weight_tensor = graph->CreateTensor(weight_spec, weight.data());
+  auto bias_tensor = graph->CreateTensor(bias_spec, bias.data());
+  auto output_tensor = graph->CreateTensor(output_spec);
+
+  EXPECT_TRUE(
+      input_tensor->CopyDataToTensor(in_data.data(), in_data.size() * 4));
+  auto op = graph->CreateOperation<tim::vx::ops::FullyConnected>(0, 3);
+  (*op).BindInputs({input_tensor, weight_tensor, bias_tensor}).BindOutputs({output_tensor});
+
+  EXPECT_TRUE(graph->Compile());
+  EXPECT_TRUE(graph->Run());
+
+  std::vector<float> output(golden.size());
+  EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
+  EXPECT_EQ(golden, output);
+}