ComputeLibrary.git -

Age	Commit message (Collapse)	Author
2023-05-05	Connect CLMatMul function to quantized kernels and resolve NE BatchMatMul ↵	Jakub Sujak
	int_8 failures * Adapt the CLMatMul function and ClMatMul operator to use quantized kernels. * Add function-level tests. Resolves: COMPMID-5929 and COMPMID-5811 Change-Id: I5348cdcf07b8074c138e04dfef0a73399377accd Signed-off-by: Jakub Sujak <jakub.sujak@arm.com> Signed-off-by: Omar Al Khatib <omar.alkhatib@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9575 Reviewed-by: Mohmun02 <MohammedSuhail.Munshi@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2023-05-03	Fix CPU MatMul broadcast detection	Viet-Hoa Do
	Resolves: COMPMID-6155 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: Ie651be65404b0b737464d7a79ebcc58475863ba0 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9555 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-05-02	Fix fully connected and matmul mismatches	Viet-Hoa Do
	* There is an issue with quantized fully connected and matmul when the lower bound of bounded ReLU is negative. * Use int32_t for the calculation of min/max quantized value rather than PixelValue to avoid this issue. Partially resolves: COMPMID-5996 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I7b22e9d56a2441fc6a4c5c4e627f57d6e00d6ff1 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9502 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-04-19	Add quantized support for CPU MatMul	Viet-Hoa Do
	Resolves: COMPMID-5899 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I89d96e292c3492ba9b1900a3e5683f9dcd11dfc6 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9440 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-04-13	Implement MatMul Function and Operator with Floating Point support for CPU	Mohammed Suhail Munshi
	- Implements MatMul function and operator for floating point datatype FP16/FP32 - Includes support for transposing dynamic tensors prior to matrix multiplication. - Adds tests for 2D/3D/4D+ tensors in MatMul with F32/F16 datatype (with all combinations of transposed/not-transposed tensors) - Updates fixture to allow for testing fused activation in MatMul - Adds tests for matmul with and without fused activation Resolved: [COMPMID-5898] Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com> Change-Id: Iefa84b26dd723c9a51e6c3f91023152c6c31ace2 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9411 Reviewed-by: SiCong Li <sicong.li@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>