53 lines
1.2 KiB
C++
53 lines
1.2 KiB
C++
// sherpa-onnx/csrc/slice-test.cc
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//
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// Copyright (c) 2023 Xiaomi Corporation
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#include "sherpa-onnx/csrc/slice.h"
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#include <numeric>
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#include "gtest/gtest.h"
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#include "sherpa-onnx/csrc/onnx-utils.h"
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namespace sherpa_onnx {
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TEST(Slice, Slice3D) {
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Ort::AllocatorWithDefaultOptions allocator;
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std::array<int64_t, 3> shape{5, 5, 4};
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Ort::Value v =
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Ort::Value::CreateTensor<float>(allocator, shape.data(), shape.size());
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float *p = v.GetTensorMutableData<float>();
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std::iota(p, p + shape[0] * shape[1] * shape[2], 0);
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auto v1 = Slice(allocator, &v, 2, 4, 0, 2);
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auto v2 = Slice(allocator, &v, 1, 3, 1, 3);
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Print3D(&v);
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Print3D(&v1);
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Print3D(&v2);
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// TODO(fangjun): Check that the results are correct
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}
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TEST(Slice, Slice2D) {
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Ort::AllocatorWithDefaultOptions allocator;
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std::array<int64_t, 2> shape{5, 8};
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Ort::Value v =
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Ort::Value::CreateTensor<float>(allocator, shape.data(), shape.size());
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float *p = v.GetTensorMutableData<float>();
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std::iota(p, p + shape[0] * shape[1], 0);
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auto v1 = Slice(allocator, &v, 1, 3);
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auto v2 = Slice(allocator, &v, 0, 2);
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Print2D(&v);
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Print2D(&v1);
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Print2D(&v2);
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// TODO(fangjun): Check that the results are correct
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}
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} // namespace sherpa_onnx
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