| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_MatMul.pbtxt | 6 If true, "a" is transposed before multiplication.
12 If true, "b" is transposed before multiplication.
18 "a" (after being transposed if transpose_a is true) must match the
19 outer dimension of "b" (after being transposed if transposed_b is
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| D | api_def_QuantizedMatMul.pbtxt | 54 If true, `a` is transposed before multiplication.
60 If true, `b` is transposed before multiplication.
73 `a` (after being transposed if `transpose_a` is non-zero) must match the
74 outer dimension of `b` (after being transposed if `transposed_b` is
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| D | api_def_DepthToSpace.pbtxt | 40 The output would be the input transposed to the following layout:
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| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| D | transpose_op.cc | 79 xla::XlaOp transposed; in Compile() local
82 transposed = ctx->Input("x"); in Compile()
84 transposed = xla::Transpose(ctx->Input("x"), transposed_order); in Compile()
89 ctx->SetOutput(0, xla::Conj(transposed)); in Compile()
91 ctx->SetOutput(0, transposed); in Compile()
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| /external/eigen/bench/btl/libs/gmm/ |
| D | gmm_interface.hh | 86 gmm::mult(gmm::transposed(A),gmm::transposed(B), X); in transposed_matrix_matrix_product()
90 gmm::mult(gmm::transposed(A),A, X); in ata_product()
94 gmm::mult(A,gmm::transposed(A), X); in aat_product()
102 gmm::mult(gmm::transposed(A),B,X); in atv_product()
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| /external/tensorflow/tensorflow/compiler/xla/tests/ |
| D | transpose_test.cc | 120 Array2D<float> transposed({{1.0f, 3.0f, 5.0f}, {2.0f, 4.0f, 6.0f}}); in TEST_F() local
128 const Array2D<float>& expected = transposes % 2 == 0 ? input : transposed; in TEST_F()
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| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | linalg_ops_test.py | 142 transposed = linalg.adjoint(matrix)
143 self.assertEqual((3, 2), transposed.get_shape())
144 self.assertAllEqual(expected_transposed, self.evaluate(transposed))
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| D | array_ops_test.py | 57 transposed = array_ops.matrix_transpose(matrix)
58 self.assertEqual((3, 2), transposed.get_shape())
59 self.assertAllEqual(expected_transposed, transposed)
65 transposed = array_ops.matrix_transpose(matrix, conjugate=True)
66 self.assertEqual((3, 2), transposed.get_shape())
67 self.assertAllEqual(expected_transposed, transposed)
76 transposed = array_ops.matrix_transpose(batch_matrix)
77 self.assertEqual((2, 3, 2), transposed.get_shape())
78 self.assertAllEqual(expected_transposed, transposed)
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| /external/tensorflow/tensorflow/python/keras/layers/ |
| D | merge.py | 139 transposed = False
155 transposed = True
159 transposed = True
165 if transposed:
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| /external/mesa3d/src/gallium/auxiliary/vl/ |
| D | vl_idct.c | 74 bool transposed, float size) in calc_addr() argument
76 unsigned wm_start = (right_side == transposed) ? TGSI_WRITEMASK_X : TGSI_WRITEMASK_Y; in calc_addr()
79 unsigned wm_tc = (right_side == transposed) ? TGSI_WRITEMASK_Y : TGSI_WRITEMASK_X; in calc_addr()
97 struct ureg_src saddr[2], bool right_side, bool transposed, in increment_addr() argument
100 unsigned wm_start = (right_side == transposed) ? TGSI_WRITEMASK_X : TGSI_WRITEMASK_Y; in increment_addr()
101 unsigned wm_tc = (right_side == transposed) ? TGSI_WRITEMASK_Y : TGSI_WRITEMASK_X; in increment_addr()
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| /external/toolchain-utils/crb/ |
| D | table_formatter.py | 125 transposed=False, argument
132 if transposed == True:
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| /external/eigen/doc/ |
| D | CustomizingEigen_Plugins.dox | 42 inline Transpose<Derived> transposed() {return this->transpose();}
43 inline const Transpose<Derived> transposed() const {return this->transpose();}
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| /external/mesa3d/src/compiler/spirv/ |
| D | vtn_alu.c | 67 struct vtn_ssa_value *src0_transpose = wrap_matrix(b, _src0->transposed); in matrix_multiply()
68 struct vtn_ssa_value *src1_transpose = wrap_matrix(b, _src1->transposed); in matrix_multiply()
191 if (src0->transposed) { in vtn_handle_matrix_alu()
192 dest->ssa = vtn_ssa_transpose(b, mat_times_scalar(b, src0->transposed, in vtn_handle_matrix_alu()
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| D | vtn_private.h | 253 struct vtn_ssa_value *transposed; member
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| /external/libvpx/libvpx/vpx_dsp/arm/ |
| D | idct4x4_add_neon.asm | 32 ; transposed rows) and then transpose the results (so that it goes back
72 ; do the transform on transposed rows
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| /external/libvpx/config/arm-neon/vpx_dsp/arm/ |
| D | idct4x4_add_neon.asm.S | 40 @ transposed rows) and then transpose the results (so that it goes back
80 @ do the transform on transposed rows
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| /external/eigen/bench/ |
| D | sparse_transpose.cpp | 84 BENCH(for (int k=0; k<REPEAT; ++k) gmm::copy(gmm::transposed(m1),m3);) in main()
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| D | sparse_dense_product.cpp | 130 BENCH( gmm::mult(gmm::transposed(m1), gmmV1, gmmV2); ) in main()
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| D | spmv.cpp | 201 SPMV_BENCH(gmm::mult(gmm::transposed(gm), gv, gres)); in main()
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| /external/eigen/unsupported/Eigen/src/Skyline/ |
| D | SkylineInplaceLU.h | 100 const int transposed = 0) const;
307 …xType>::solve(const MatrixBase<BDerived> &b, MatrixBase<XDerived>* x, const int transposed) const { in solve() argument
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| /external/python/cpython3/Doc/tutorial/ |
| D | datastructures.rst | 303 >>> transposed = []
305 ... transposed.append([row[i] for row in matrix])
307 >>> transposed
312 >>> transposed = []
318 ... transposed.append(transposed_row)
320 >>> transposed
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| /external/python/cpython2/Doc/tutorial/ |
| D | datastructures.rst | 354 >>> transposed = []
356 ... transposed.append([row[i] for row in matrix])
358 >>> transposed
363 >>> transposed = []
369 ... transposed.append(transposed_row)
371 >>> transposed
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| /external/tensorflow/tensorflow/compiler/tf2xla/ |
| D | xla_compiler_test.cc | 325 xla::Shape transposed = in TEST_F() local
329 xla::ShapeUtil::MakeTupleShape({transposed, transposed})); in TEST_F()
367 xla::Shape transposed = in TEST_F() local
371 xla::ShapeUtil::MakeTupleShape({transposed, transposed})); in TEST_F()
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| /external/Microsoft-GSL/tests/ |
| D | strided_span_tests.cpp | 783 strided_span<int, 2> transposed{cs.data(), cs.bounds().total_size(), reverse_bounds}; variable
786 strided_span<int, 1> result = transposed[0];
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| /external/skqp/src/sksl/ |
| D | SkSLGLSLCodeGenerator.cpp | 432 String transposed = this->getTypeName(base.toCompound(fContext, in writeTransposeHack() local
435 fExtraFunctions.writeText((transposed + " " + name + "(" + type + " m) {\nreturn " + in writeTransposeHack()
436 transposed + "(").c_str()); in writeTransposeHack()
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