| /hardware/interfaces/tests/bar/1.0/default/ |
| D | Bar.cpp | 106 Return<void> Bar::transpose(const StringMatrix5x3 &in, transpose_cb _hidl_cb) { in transpose() function in android::hardware::tests::bar::V1_0::implementation::Bar
107 return mFoo->transpose(in, _hidl_cb); in transpose()
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| D | Bar.h | 52 … virtual Return<void> transpose(const IFoo::StringMatrix5x3& in, transpose_cb _hidl_cb) override;
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| /hardware/interfaces/tests/baz/1.0/default/ |
| D | Baz.h | 46 Return<void> transpose(const IBase::StringMatrix5x3& in,
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| D | Baz.cpp | 163 Return<void> Baz::transpose(const IBase::StringMatrix5x3& in, transpose_cb _hidl_cb) { in transpose() function in android::hardware::tests::baz::V1_0::implementation::Baz
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| /hardware/interfaces/tests/foo/1.0/default/ |
| D | Foo.h | 49 … virtual Return<void> transpose(const IFoo::StringMatrix5x3& in, transpose_cb _hidl_cb) override;
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| D | Foo.cpp | 282 Return<void> Foo::transpose(const StringMatrix5x3 &in, transpose_cb _hidl_cb) { in transpose() function in android::hardware::tests::foo::V1_0::implementation::Foo
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| /hardware/qcom/neuralnetworks/hvxservice/1.0/ |
| D | HexagonModel.cpp | 207 transpose<float>(dims[0], dims[1] * dims[2] * dims[3], in createConvFilterTensor()
214 transpose<uint8_t>(dims[0], dims[1] * dims[2] * dims[3], in createConvFilterTensor()
239 std::vector<float> transposed = transpose<float>( in createFullyConnectedWeightTensor()
245 std::vector<uint8_t> transposed = transpose<uint8_t>( in createFullyConnectedWeightTensor()
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| D | HexagonUtils.h | 82 std::vector<Type> transpose(uint32_t height, uint32_t width, const Type* input) { in transpose() function
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| /hardware/interfaces/tests/baz/1.0/ |
| D | IBase.hal | 119 transpose(StringMatrix5x3 in) generates (StringMatrix3x5 out);
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| /hardware/interfaces/tests/foo/1.0/ |
| D | IFoo.hal | 201 transpose(StringMatrix5x3 in) generates (StringMatrix3x5 out);
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| /hardware/interfaces/neuralnetworks/1.1/ |
| D | types.hal | 335 * regular matrix transpose on 2-D input Tensors.
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| /hardware/interfaces/neuralnetworks/1.2/ |
| D | types.hal | 2190 * regular matrix transpose on 2-D input Tensors.
4342 * Performs the transpose of 2-D convolution operation.
4345 * Networks, but is actually the transpose (gradient) of
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| /hardware/interfaces/neuralnetworks/1.3/ |
| D | types.hal | 2260 * regular matrix transpose on 2-D input Tensors.
4585 * Performs the transpose of 2-D convolution operation.
4588 * Networks, but is actually the transpose (gradient) of
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