Add testcase for left rank < right rank (#1787)
author최성진/동작제어Lab(SR)/Principal Engineer/삼성전자 <lotieye.choi@samsung.com>
Tue, 10 Jul 2018 01:25:10 +0000 (10:25 +0900)
committer오형석/동작제어Lab(SR)/Staff Engineer/삼성전자 <hseok82.oh@samsung.com>
Tue, 10 Jul 2018 01:25:10 +0000 (10:25 +0900)
* Add testcase for left rank < right rank

This commit adds a testcase for different rank
-left rank < right rank

Signed-off-by: SungJin Choi <lotieye.choi@samsung.com>
* Change to a gtest format

This commit changes main format to a gtest.

Signed-off-by: SungJin Choi <lotieye.choi@samsung.com>
tools/nnapi_unittests/CMakeLists.txt
tools/nnapi_unittests/tests/add_9.cpp [new file with mode: 0644]
tools/nnapi_unittests/tests/add_9.lst [new file with mode: 0644]

index 38f40ce..b7a80e9 100644 (file)
@@ -25,6 +25,7 @@ add_nnapi_unittest(add_5)
 add_nnapi_unittest(add_6)
 add_nnapi_unittest(add_7)
 add_nnapi_unittest(add_8)
+add_nnapi_unittest(add_9)
 add_nnapi_unittest(add_quan_1)
 add_nnapi_unittest(div_1)
 add_nnapi_unittest(div_2)
diff --git a/tools/nnapi_unittests/tests/add_9.cpp b/tools/nnapi_unittests/tests/add_9.cpp
new file mode 100644 (file)
index 0000000..e718032
--- /dev/null
@@ -0,0 +1,187 @@
+/*
+ * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "gtest/gtest.h"
+
+#include "support/tflite/kernels/register.h"
+#include "tensorflow/contrib/lite/model.h"
+#include "tensorflow/contrib/lite/builtin_op_data.h"
+
+#include "env.h"
+#include "memory.h"
+#include "util/environment.h"
+
+#include "support/tflite/Diff.h"
+#include "support/tflite/Quantization.h"
+#include "support/tflite/interp/FunctionBuilder.h"
+
+#include <iostream>
+#include <cassert>
+
+#include <chrono>
+#include <random>
+
+using namespace tflite;
+using namespace tflite::ops::builtin;
+
+TEST(NNAPI_Unittest_add_9, simple_test)
+{
+  int verbose = 1;
+  int tolerance = 1;
+
+  nnfw::util::env::IntAccessor("VERBOSE").access(verbose);
+  nnfw::util::env::IntAccessor("TOLERANCE").access(tolerance);
+
+  // Set random seed
+  int SEED = std::chrono::system_clock::now().time_since_epoch().count();
+
+  nnfw::util::env::IntAccessor("SEED").access(SEED);
+
+#define INT_VALUE(NAME, VALUE) IntVar NAME##_Value(#NAME, VALUE);
+#include "add_9.lst"
+#undef INT_VALUE
+
+  const int32_t LEFT_N = LEFT_N_Value();
+  const int32_t LEFT_C = LEFT_C_Value();
+  const int32_t LEFT_H = LEFT_H_Value();
+  const int32_t LEFT_W = LEFT_W_Value();
+
+  const int32_t RIGHT_N = RIGHT_N_Value();
+  const int32_t RIGHT_C = RIGHT_C_Value();
+  const int32_t RIGHT_H = RIGHT_H_Value();
+  const int32_t RIGHT_W = RIGHT_W_Value();
+
+  const int32_t OFM_N = std::max(LEFT_N, RIGHT_N);
+  const int32_t OFM_C = std::max(LEFT_C, RIGHT_C);
+  const int32_t OFM_H = std::max(LEFT_H, RIGHT_H);
+  const int32_t OFM_W = std::max(LEFT_W, RIGHT_W);
+
+  // Initialize random number generator
+  std::minstd_rand random(SEED);
+
+  std::cout << "Configurations:" << std::endl;
+#define PRINT_NEWLINE()     \
+  {                         \
+    std::cout << std::endl; \
+  }
+#define PRINT_VALUE(value)                                       \
+  {                                                              \
+    std::cout << "  " << #value << ": " << (value) << std::endl; \
+  }
+  PRINT_VALUE(SEED);
+  PRINT_NEWLINE();
+
+  PRINT_VALUE(LEFT_N);
+  PRINT_VALUE(LEFT_H);
+  PRINT_VALUE(LEFT_W);
+  PRINT_VALUE(LEFT_C);
+  PRINT_NEWLINE();
+
+  PRINT_VALUE(RIGHT_N);
+  PRINT_VALUE(RIGHT_H);
+  PRINT_VALUE(RIGHT_W);
+  PRINT_VALUE(RIGHT_C);
+  PRINT_NEWLINE();
+
+  PRINT_VALUE(OFM_N);
+  PRINT_VALUE(OFM_H);
+  PRINT_VALUE(OFM_W);
+  PRINT_VALUE(OFM_C);
+#undef PRINT_VALUE
+#undef PRINT_NEWLINE
+
+  // Configure left data
+  const uint32_t left_size = LEFT_N * LEFT_C * LEFT_H * LEFT_W;
+  const uint32_t right_size = RIGHT_N * RIGHT_C * RIGHT_H * RIGHT_W;
+  float left_data[left_size] = {
+      0.0f,
+  };
+  float right_data[right_size] = {
+      0.0f,
+  };
+
+  // Fill left data with random data
+  {
+    std::normal_distribution<float> left_dist(-1.0f, +1.0f);
+    float value = 10.0f;
+    for (uint32_t off = 0; off < left_size; ++off)
+    {
+      left_data[off] = value;
+    }
+    value = 1.0f;
+    for (uint32_t off = 0; off < right_size; ++off)
+    {
+      right_data[off] = value++;
+    }
+  }
+
+  auto setup = [&](Interpreter &interp) {
+    // Comment from 'context.h'
+    //
+    // Parameters for asymmetric quantization. Quantized values can be converted
+    // back to float using:
+    //    real_value = scale * (quantized_value - zero_point);
+    //
+    // Q: Is this necessary?
+    TfLiteQuantizationParams quantization = make_default_quantization();
+
+    // On AddTensors(N) call, T/F Lite interpreter creates N tensors whose index is [0 ~ N)
+    interp.AddTensors(3);
+
+    // Configure output
+    interp.SetTensorParametersReadWrite(0, kTfLiteFloat32 /* type */, "output" /* name */,
+                                        {OFM_N, OFM_H, OFM_W, OFM_C} /* dims */, quantization);
+
+    // Configure input(s)
+    interp.SetTensorParametersReadOnly(
+        1, kTfLiteFloat32 /* type */, "left" /* name */, {LEFT_W, LEFT_C} /* dims */, quantization,
+        reinterpret_cast<const char *>(left_data), left_size * sizeof(float));
+
+    // Configure input(s)
+    interp.SetTensorParametersReadOnly(2, kTfLiteFloat32 /* type */, "right" /* name */,
+                                       {RIGHT_N, RIGHT_H, RIGHT_W, RIGHT_C} /* dims */,
+                                       quantization, reinterpret_cast<const char *>(right_data),
+                                       right_size * sizeof(float));
+
+    // Add Convolution Node
+    //
+    // NOTE AddNodeWithParameters take the ownership of param, and deallocate it with free
+    //      So, param should be allocated with malloc
+    auto param = make_alloc<TfLiteAddParams>();
+
+    param->activation = kTfLiteActNone;
+
+    // Run Add and store the result into Tensor #0
+    //  - Read LHS from Tensor #1
+    //  - Read RHS from Tensor #2,
+    interp.AddNodeWithParameters({1, 2}, {0}, nullptr, 0, reinterpret_cast<void *>(param),
+                                 BuiltinOpResolver().FindOp(BuiltinOperator_ADD));
+
+    interp.SetInputs({});
+    interp.SetOutputs({0});
+  };
+
+  const nnfw::support::tflite::interp::FunctionBuilder builder(setup);
+
+  RandomTestParam param;
+
+  param.verbose = verbose;
+  param.tolerance = tolerance;
+
+  int res = RandomTestRunner{SEED, param}.run(builder);
+
+  EXPECT_EQ(res, 0);
+}
diff --git a/tools/nnapi_unittests/tests/add_9.lst b/tools/nnapi_unittests/tests/add_9.lst
new file mode 100644 (file)
index 0000000..52a1f1a
--- /dev/null
@@ -0,0 +1,13 @@
+#ifndef INT_VALUE
+#error "INT_VALUE should be defined"
+#endif // INT_VALUE
+
+INT_VALUE(LEFT_N, 1)
+INT_VALUE(LEFT_H, 1)
+INT_VALUE(LEFT_W, 3)
+INT_VALUE(LEFT_C, 4)
+
+INT_VALUE(RIGHT_N, 1)
+INT_VALUE(RIGHT_H, 2)
+INT_VALUE(RIGHT_W, 3)
+INT_VALUE(RIGHT_C, 4)