Matrix.MultiplyTranspose (Matrix) 用当前矩阵和指定矩阵转置后的乘积替换当前矩阵。 由.NET Compact Framework 支持。 Matrix.MultiplyTranspose (Matrix, Matrix) 返回两个指定矩阵转置后的乘积。 由.NET Compact Framework 支持。 请参见 参考 Matrix 结构 Matrix 成员 Microsoft.WindowsMobile.DirectX 命名空间中文...
Embodiments for a matrix transpose and multiply operation are disclosed. In an embodiment, a processor includes a decoder and execution circuitry. The decoder is to decode an instruction having a format including an opcode field to specify an opcode, a first destination operand field to specify a...
SourceMatrixstructure to multiply and transpose with the current instance. Remarks This method is useful for setting matrices as constants for vertex and pixel shaders. This result of this method is the transposed product of two transformation matrices: ...
MPSImageMultiply MPSImageNormalizedHistogram MPSImagePyramid MPSImageReadWriteParams MPSImageReduceColumnMax MPSImageReduceColumnMean MPSImageReduceColumnMin MPSImageReduceColumnSum MPSImageReduceRowMax MPSImageReduceRowMean MPSImageReduceRowMin MPSImageReduceRowSum MPSImageReduceUnary MPSImageRegion MPSImageScale ...
XMMATRIX XM_CALLCONVXMMatrixMultiplyTranspose( [in] FXMMATRIX M1, [in] CXMMATRIX M2 )noexcept; 參數 [in] M1 要相乘的第一個矩陣。 [in] M2 要相乘的第二個矩陣。 傳回值 傳回M1和M2乘積的轉置。 備註 平臺需求 規格需求 展開資料表
Multiply(Matrix4x4, Single) Returns the matrix that results from scaling all the elements of a specified matrix by a scalar factor. Subtraction(Matrix4x4, Matrix4x4) Subtracts each element in a second matrix from its corresponding element in a first matrix. ...
MatrixMultiply input_shape=[1,2,3,2]input_shape2=[1,2,3,1]in1=network.add_input("input1",dtype=trt.float32,shape=input_shape)in2=network.add_input("input2",dtype=trt.float32,shape=input_shape2)layer=network.add_matrix_multiply(in1,trt.MatrixOperation.TRANSPOSE,in2,trt.MatrixOperation...
在下文中一共展示了DenseMatrix.TransposeAndMultiply方法的1个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的C#代码示例。 示例1: Run ▲点赞 7▼ //////Run example///publicvoidRun(){// Format matrix output to console...
(最神奇的事情就是,你使用4x4矩阵去乘以一个点的坐标之后,这个点会被转换到另一个坐标系里去). As a result, any position in space and any desired orientation can be uniquely defined by a 4 × 4 matrix, and if you multiply all of an object’s vertices by this matrix, you transform the ...
Intel® Core™ i5-6300U CPU @ 2.4 G 2 core, which is a6th generation Intel® Core™ i5 processorand supports Intel® Advanced Vector Extensions 2 (Intel® AVX2), 2 FMA (1 multiply and 1 add). So, for the single-precision floating point (32 bit...