armnn.git -

Age	Commit message (Collapse)	Author
2019-08-16	IVGCVSW-3620 Fix Hal 1.2 Softmax test failures on GpuAcc and CpuAcc	Colm Donelan
	The following NeuralNetworkTests tests were failing on GpuAcc and CpuAcc: GeneratedTests.softmax_v1_2_relaxed GeneratedTests.softmax_v1_2_quant8 GeneratedTests.softmax_v1_2_2 GeneratedTests.softmax_v1_2_relaxed_2 GeneratedTests.softmax_v1_2_quant8_2 The default value for Softmax axis parameter in Android is -1 but is 1 in ACL. Detect and handle this in ArmComputeUtils.ComputeSoftmaxAclAxis. Signed-off-by: Colm Donelan <Colm.Donelan@arm.com> Change-Id: Ibb0660e4cb0dc6bd4c804c4397fbd61f38acdd9c
2019-07-05	IVGCVSW-3401 Update ACL pin to latest master	James Conroy
	* Updated ACL pin to latest master. * Minor changes to Softmax Neon/CL uint8 workloads to reflect refactoring in ACL. !android-nn-driver:1476 Change-Id: I1c5005ddbcccdb41d8cb09d3fa61cf3ce0e9ffdb Signed-off-by: James Conroy <james.conroy@arm.com>
2019-06-26	Update the CL pin to the latest master	Ferran Balaguer
	* Update SoftMaxUint8Workload for CL and NEON to deal with quantization parameters as vectors. * Change Sigmoid Activation function QAsymm8 tests to use scale=1.f/256.f and offset=0 as quatization output parameters. !android-nn-driver:1417 Signed-off-by: Ferran Balaguer <ferran.balaguer@arm.com> Change-Id: Ief91f10193fbbbad0c0124ece41f0bf4e0dcd992
2019-03-15	IVGCVSW-2354 Caffe SqueezeNet through armnn Cl and Neon	Narumol Prangnawarat
	* Compute Softmax Acl axis for Cl and Neon * Add unittests for Softmax in 3D and 4D * Correct input and output layer names in CaffeSqueezeNet inference test Change-Id: I2d369d9a2db19c40f2af3341039dd33f0c5637b1 Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
2018-11-02	IVGCVSW-1946: Remove armnn/src from the include paths	Aron Virginas-Tar
	Change-Id: I663a0a0fccb43ee960ec070121a59df9db0bb04e
2018-10-22	IVGCVSW-1955: Unify backend exceptions (wrap cl::Error)	Aron Virginas-Tar
	* Added wrapper function around arm_compute::IFunction::run() that catches cl::Error and wraps it into an armnn::RuntimeException * Added MakeWorkload template inside ClWorkloadFactory that catches cl::Error and wraps it into an armnn::RuntimeException * Replaced cl::Error with armnn::RuntimeException in catch statements inside LoadedNetwork Change-Id: I2340f41ae02b8db1d7ef5157824a50e7410854e3
2018-10-10	IVGCVSW-1900 : CL backend folder structure	David Beck
	* moving backends/ClWorkloads to backends/cl * and moving pure Cl workload related code to backends/cl/workloads Change-Id: I019a3c6b4da5e7a23074bf03fb057e63199ad129