/external/ComputeLibrary/src/ |
D | CMakeLists.txt | 108 core/NEON/kernels/arm_conv/depthwise/interleaves/sve_8b_mla.cpp 109 core/NEON/kernels/arm_conv/depthwise/interleaves/sve_s8q_3x3_dot.cpp 110 core/NEON/kernels/arm_conv/depthwise/interleaves/sve_u8q_3x3_dot.cpp 111 …core/NEON/kernels/arm_conv/depthwise/kernels/sme2_fp32_nhwc_3x3_s1_output2x2_mla_depthfirst/generi… 112 …core/NEON/kernels/arm_conv/depthwise/kernels/sme2_fp32_nhwc_3x3_s1_output2x2_mla_depthfirst/generi… 113 …core/NEON/kernels/arm_conv/depthwise/kernels/sme2_fp32_nhwc_3x3_s1_output3x3_mla_depthfirst/generi… 114 …core/NEON/kernels/arm_conv/depthwise/kernels/sme2_fp32_nhwc_3x3_s1_output3x3_mla_depthfirst/generi… 115 …core/NEON/kernels/arm_conv/depthwise/kernels/sme2_fp32_nhwc_3x3_s1_output4x4_mla_depthfirst/generi… 116 …core/NEON/kernels/arm_conv/depthwise/kernels/sme2_fp32_nhwc_3x3_s1_output4x4_mla_depthfirst/generi… 117 …core/NEON/kernels/arm_conv/depthwise/kernels/sme2_fp32_nhwc_3x3_s2_output2x2_mla_depthfirst/generi… [all …]
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D | BUILD.bazel | 110 srcs = ["cpu/kernels/activation/generic/sve2/qasymm8.cpp", 111 "cpu/kernels/activation/generic/sve2/qasymm8_signed.cpp", 112 "cpu/kernels/activation/generic/sve2/qsymm16.cpp", 113 "cpu/kernels/add/generic/sve2/qasymm8.cpp", 114 "cpu/kernels/add/generic/sve2/qasymm8_signed.cpp", 115 "cpu/kernels/add/generic/sve2/qsymm16.cpp", 116 "cpu/kernels/elementwise_binary/generic/sve2/qasymm8.cpp", 117 "cpu/kernels/elementwise_binary/generic/sve2/qasymm8_signed.cpp", 118 "cpu/kernels/softmax/generic/sve2/impl.cpp", 119 "cpu/kernels/softmax/generic/sve2/qasymm8.cpp", [all …]
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/external/ComputeLibrary/ |
D | Android.bp | 84 "src/core/NEON/kernels/assembly", 85 "src/core/NEON/kernels/convolution/common", 86 "src/core/NEON/kernels/convolution/winograd", 87 "src/cpu/kernels/assembly"], 120 "src/core/CL/kernels/CLArgMinMaxLayerKernel.cpp", 121 "src/core/CL/kernels/CLBatchNormalizationLayerKernel.cpp", 122 "src/core/CL/kernels/CLBatchToSpaceLayerKernel.cpp", 123 "src/core/CL/kernels/CLBitwiseKernel.cpp", 124 "src/core/CL/kernels/CLBoundingBoxTransformKernel.cpp", 125 "src/core/CL/kernels/CLChannelShuffleLayerKernel.cpp", [all …]
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D | filelist.json | 38 "src/core/CPP/kernels/CPPBoxWithNonMaximaSuppressionLimitKernel.cpp", 39 "src/core/CPP/kernels/CPPNonMaximumSuppressionKernel.cpp", 40 "src/core/CPP/kernels/CPPPermuteKernel.cpp", 41 "src/core/CPP/kernels/CPPTopKVKernel.cpp", 42 "src/core/CPP/kernels/CPPUpsampleKernel.cpp", 128 "src/core/CL/kernels/CLFillBorderKernel.cpp", 153 "src/gpu/cl/kernels/ClActivationKernel.cpp", 163 "src/core/CL/kernels/CLArgMinMaxLayerKernel.cpp", 171 "src/gpu/cl/kernels/ClElementwiseKernel.cpp", 179 "src/core/CL/kernels/CLBatchNormalizationLayerKernel.cpp", [all …]
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/external/tensorflow/tensorflow/lite/ |
D | tflite_static.bp | 46 "kernels/activations.cc", 47 "kernels/add.cc", 48 "kernels/add_n.cc", 49 "kernels/arg_min_max.cc", 50 "kernels/atan2.cc", 51 "kernels/assign_variable.cc", 52 "kernels/basic_rnn.cc", 53 "kernels/batch_matmul.cc", 54 "kernels/batch_to_space_nd.cc", 55 "kernels/bidirectional_sequence_lstm.cc", [all …]
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/external/executorch/kernels/portable/ |
D | functions.yaml | 21 kernels: 26 kernels: 31 kernels: 36 kernels: 41 kernels: 46 kernels: 51 kernels: 56 kernels: 61 kernels: 66 kernels: [all …]
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/external/executorch/shim/xplat/executorch/kernels/portable/ |
D | op_registration_util.bzl | 44 targets under //executorch/kernels/optimized, which can benefit 108 targets under //executorch/kernels/optimized, which can benefit 120 "//executorch/kernels/portable/test/...", 121 "//executorch/kernels/quantized/...", 122 "//executorch/kernels/optimized/test/...", 123 "//executorch/kernels/test/...", 127 … # kernels often have helpers with no prototypes just disabling the warning here as the headers 135 # to library users. They should use kernels through registry only. 137 # so it can prune unregistered kernels. 168 targets under //executorch/kernels/optimized. [all …]
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/external/tensorflow/third_party/compute_library/ |
D | BUILD | 38 "src/cpu/kernels/**/sve2/*.cpp", 47 "src/core/NEON/kernels/arm_conv", 48 "src/core/NEON/kernels/arm_gemm", 49 "src/core/NEON/kernels/assembly", 50 "src/core/cpu/kernels/assembly", 51 "src/cpu/kernels/assembly", 61 "src/core/NEON/kernels/arm_gemm/kernels/sve_*/*.cpp", 62 "src/core/NEON/kernels/arm_conv/**/kernels/sve_*/*.cpp", 63 "src/core/NEON/kernels/arm_conv/depthwise/interleaves/sve_*.cpp", 64 "src/core/NEON/kernels/batchnormalization/impl/SVE/*.cpp", [all …]
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/external/ComputeLibrary/src/core/CL/ |
D | CLKernels.h | 27 /* Header regrouping all the CL kernels */ 28 #include "src/core/CL/kernels/CLArgMinMaxLayerKernel.h" 29 #include "src/core/CL/kernels/CLBatchNormalizationLayerKernel.h" 30 #include "src/core/CL/kernels/CLBatchToSpaceLayerKernel.h" 31 #include "src/core/CL/kernels/CLBitwiseKernel.h" 32 #include "src/core/CL/kernels/CLBoundingBoxTransformKernel.h" 33 #include "src/core/CL/kernels/CLChannelShuffleLayerKernel.h" 34 #include "src/core/CL/kernels/CLComparisonKernel.h" 35 #include "src/core/CL/kernels/CLDeconvolutionLayerUpsampleKernel.h" 36 #include "src/core/CL/kernels/CLDeconvolutionReshapeOutputKernel.h" [all …]
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/external/ComputeLibrary/src/core/NEON/ |
D | NEKernels.h | 27 #include "src/core/NEON/kernels/NEBatchNormalizationLayerKernel.h" 28 #include "src/core/NEON/kernels/NEBatchToSpaceLayerKernel.h" 29 #include "src/core/NEON/kernels/NEBitwiseAndKernel.h" 30 #include "src/core/NEON/kernels/NEBitwiseNotKernel.h" 31 #include "src/core/NEON/kernels/NEBitwiseOrKernel.h" 32 #include "src/core/NEON/kernels/NEBitwiseXorKernel.h" 33 #include "src/core/NEON/kernels/NEBoundingBoxTransformKernel.h" 34 #include "src/core/NEON/kernels/NEChannelShuffleLayerKernel.h" 35 #include "src/core/NEON/kernels/NECol2ImKernel.h" 36 #include "src/core/NEON/kernels/NECropKernel.h" [all …]
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/external/tensorflow/tensorflow/core/kernels/mkl/ |
D | BUILD | 26 "//tensorflow/core/kernels:ops_util", 36 "//tensorflow/core/kernels:concat_lib", 37 "//tensorflow/core/kernels:conv_2d", 38 "//tensorflow/core/kernels:eigen_contraction_kernel", 39 "//tensorflow/core/kernels:fill_functor", 40 "//tensorflow/core/kernels:gather_functor", 41 "//tensorflow/core/kernels:transpose_functor", 55 "//tensorflow/core/kernels:ops_testutil", 56 "//tensorflow/core/kernels:ops_util", 68 "//tensorflow/core/kernels:batch_matmul_op", [all …]
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/external/executorch/kernels/portable/cpu/util/ |
D | targets.bzl | 15 "//executorch/kernels/portable/cpu/util:functional_util", 16 "//executorch/kernels/portable/cpu/util:broadcast_util", 17 "//executorch/kernels/portable/cpu/util:kernel_ops_util", 18 "//executorch/kernels/portable/cpu:vec_ops", 19 "//executorch/kernels/portable/cpu/util:matmul_ops_util", 20 "//executorch/kernels/portable/cpu/util:copy_ops_util", 21 "//executorch/kernels/portable/cpu/util:transpose_util", 22 "//executorch/kernels/portable/cpu/util:index_util", 23 "//executorch/kernels/portable/cpu/util:math_util", 24 "//executorch/kernels/portable/cpu/util:padding_util", [all …]
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/external/executorch/backends/cadence/reference/operators/ |
D | CMakeLists.txt | 27 "${EXECUTORCH_ROOT}/kernels/portable/cpu/util/activation_ops_util.cpp" 28 "${EXECUTORCH_ROOT}/kernels/portable/cpu/util/copy_ops_util.cpp" 29 "${EXECUTORCH_ROOT}/kernels/portable/cpu/util/broadcast_util.cpp" 30 "${EXECUTORCH_ROOT}/kernels/portable/cpu/util/dtype_util.cpp" 31 "${EXECUTORCH_ROOT}/kernels/portable/cpu/util/index_util.cpp" 32 "${EXECUTORCH_ROOT}/kernels/portable/cpu/util/kernel_ops_util.cpp" 33 "${EXECUTORCH_ROOT}/kernels/portable/cpu/util/matmul_ops_util.cpp" 34 "${EXECUTORCH_ROOT}/kernels/portable/cpu/util/reduce_util.cpp" 35 "${EXECUTORCH_ROOT}/kernels/portable/cpu/util/repeat_util.cpp" 36 "${EXECUTORCH_ROOT}/kernels/portable/cpu/util/slice_util.cpp" [all …]
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/external/executorch/backends/cadence/aot/ |
D | functions.yaml | 10 # See the README.md file in executorch/kernels/portable for a description of the syntax used 16 kernels: 21 kernels: 26 kernels: 31 kernels: 36 kernels: 41 kernels: 46 kernels: 51 kernels: 56 kernels: [all …]
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D | functions_hifi.yaml | 10 # See the README.md file in executorch/kernels/portable for a description of the syntax used 16 kernels: 21 kernels: 26 kernels: 31 kernels: 36 kernels: 41 kernels: 46 kernels: 51 kernels: 56 kernels: [all …]
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/external/executorch/kernels/quantized/test/ |
D | targets.bzl | 1 load("@fbsource//xplat/executorch/kernels/test:util.bzl", "define_supported_features_lib", "op_test… 10 "//executorch/kernels/quantized/cpu:op_dequantize", 11 "//executorch/kernels/quantized/cpu:op_quantize", 12 "//executorch/kernels/quantized/cpu:op_add", 13 "//executorch/kernels/quantized:generated_lib_headers", 14 "//executorch/kernels/portable:generated_lib_headers", 15 "//executorch/kernels/portable/cpu:op_add", 19 "//executorch/kernels/quantized/cpu:op_dequantize", 20 "//executorch/kernels/quantized/cpu:op_quantize", 21 "//executorch/kernels/quantized/cpu:op_add", [all …]
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/external/executorch/backends/cadence/hifi/operators/ |
D | CMakeLists.txt | 31 "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_bmm.cpp" 32 "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_cat.cpp" 33 "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_clone.cpp" 34 "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_embedding.cpp" 35 "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_full.cpp" 36 "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_gelu.cpp" 37 "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_hardtanh.cpp" 38 "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_max_pool2d_with_indices.cpp" 39 "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_permute_copy.cpp" 40 "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_slice_copy.cpp" [all …]
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/external/executorch/kernels/optimized/ |
D | optimized.yaml | 3 # This yaml file contains operators that have optimized kernels available. 6 kernels: 11 kernels: 16 kernels: 21 kernels: 26 kernels: 31 kernels: 36 kernels: 41 kernels: 46 kernels: [all …]
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D | optimized-oss.yaml | 3 # This yaml file contains operators that have optimized kernels available. 9 kernels: 14 kernels: 19 kernels: 24 kernels: 29 kernels: 34 kernels: 39 kernels: 44 kernels: 49 kernels: [all …]
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/external/pytorch/aten/src/ATen/core/boxing/ |
D | KernelFunction_test.cpp | 18 namespace kernels { namespace 19 // This namespace contains several fake kernels. 20 // Some of these kernels expect to be called with two int64_t arguments 22 // Kernels may return a single value, or multiple values, or no value. 23 // The kernels with a single return value return int value 5, 25 // to check that calling a specific kernels works correctly. 32 // The value itself is meaningless for all of the tests that use kernels without a DispatchKeySet a… 117 // boxed kernels that return refs to tensor arguments, a la inplace/outplace kernels 378 KernelFunction func = KernelFunction::makeFromBoxedFunction<&kernels::boxed_func_with_return>(); in TEST() 379 kernels::expectBoxedCallingWithReturnWorks(func); in TEST() [all …]
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/external/executorch/kernels/optimized/cpu/ |
D | targets.bzl | 2 load("@fbsource//xplat/executorch/kernels/optimized:op_registration_util.bzl", "define_op_target", … 9 "//executorch/kernels/portable/cpu:scalar_utils", 10 "//executorch/kernels/portable/cpu/util:broadcast_util", 16 "//executorch/kernels/optimized:libblas", 23 "//executorch/kernels/portable/cpu:scalar_utils", 24 "//executorch/kernels/portable/cpu/util:broadcast_util", 41 "//executorch/kernels/portable/cpu:scalar_utils", 47 "//executorch/kernels/optimized:libblas", 48 "//executorch/kernels/portable/cpu/util:matmul_ops_util", 55 "//executorch/kernels/portable/cpu/util:activation_ops_util", [all …]
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/external/ComputeLibrary/docs/user_guide/ |
D | release_version_and_change_log.dox | 44 … weights for \link cpu::CpuGemmDirectConv2d CpuGemmDirectConv2d \endlink with fixed format kernels. 52 - Add SME/SME2 kernels for GeMM, Winograd convolution, Depthwise convolution and Pooling. 64 - \link opencl::kernels::ClIndirectConv2dKernel ClIndirectConv2dKernel \endlink 66 - \link opencl::kernels::ClTransposedConvolutionKernel ClTransposedConvolutionKernel \endlink 94 - \link opencl::kernels::ClDirectConv2dKernel ClDirectConv2dKernel \endlink 95 - \link opencl::kernels::ClDirectConv2dKernel ClDirectConv3dKernel \endlink 109 - Add fixed-format BF16, FP16 and FP32 Neon™ GEMM kernels to support variable weights. 110 …- Add new winograd convolution kernels implementation and update the ACL \link arm_compute::cpu::C… 125 - New Arm® Neon™ kernels / functions : 126 - \link opencl::kernels::ClPool3dKernel ClPool3dKernel \endlink [all …]
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/external/executorch/kernels/ |
D | README.md | 2 contribute to. For internal users, please see `executorch/kernels/fb/README.md`. 6 - `kernels`: Contains implementations and tests for the operators defined 8 - `kernels/portable/cpu`: Pure C++ implementations of the operators defined in the 10 - `kernels/optimized/cpu`: Optimized C++ implementations of the operators defined in the 12 - `kernels/aten`: A thin wrapper layer to hookup ATen library into ExecuTorch. 13 - `kernels/test`: Tests for all operator implementations. Since all 60 - [`//kernels/portable/functions.yaml`](https://github.com/pytorch/executorch/blob/main/kernels/por… 64 …- Also add your entry to [`//kernels/aten/functions.yaml`](https://github.com/pytorch/executorch/b… 65 - [`//kernels/portable/custom_ops.yaml`](https://github.com/pytorch/executorch/blob/main/kernels/po… 72 This YAML file schema is a DSL to decribe the operators and the kernels that implement them. This Y… [all …]
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/external/autotest/tko/migrations/ |
D | 003_add_test_timestamps.py | 39 kernels.kernel_hash, 40 kernels.base AS kernel_base, 41 kernels.printable AS kernel_printable, 46 INNER JOIN kernels ON kernels.kernel_idx = tests.kernel_idx 69 kernels.kernel_hash, 70 kernels.base AS kernel_base, 71 kernels.printable AS kernel_printable, 79 INNER JOIN kernels ON kernels.kernel_idx = tests.kernel_idx 104 kernels.kernel_hash, 105 kernels.base AS kernel_base, [all …]
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D | 002_add_job_timestamps.py | 42 kernels.kernel_hash, 43 kernels.base AS kernel_base, 44 kernels.printable AS kernel_printable, 49 INNER JOIN kernels ON kernels.kernel_idx = tests.kernel_idx 71 kernels.kernel_hash, 72 kernels.base AS kernel_base, 73 kernels.printable AS kernel_printable, 81 INNER JOIN kernels ON kernels.kernel_idx = tests.kernel_idx 103 kernels.kernel_hash, 104 kernels.base AS kernel_base, [all …]
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