| /external/pytorch/aten/src/ATen/native/quantized/cpu/qnnpack/src/ |
| D | hardsigmoid.c | 42 … "failed to create Hardsigmoid operator with %zu channels: number of channels must be non-zero", in pytorch_qnnp_create_hardsigmoid_nc_q8()
49 … "failed to create Hardsigmoid operator with %.7g input scale: scale must be finite and positive", in pytorch_qnnp_create_hardsigmoid_nc_q8()
56 … "failed to create Hardsigmoid operator with %.7g output scale: scale must be finite and positive", in pytorch_qnnp_create_hardsigmoid_nc_q8()
63 "failed to create Hardsigmoid operator with [%" PRIu8 ", %" PRIu8 in pytorch_qnnp_create_hardsigmoid_nc_q8()
74 …"failed to create Hardsigmoid operator with %.7g output scale: only output scale of 1/256 is suppo… in pytorch_qnnp_create_hardsigmoid_nc_q8()
81 "failed to create Hardsigmoid operator with %" PRIu8 in pytorch_qnnp_create_hardsigmoid_nc_q8()
100 "failed to allocate 256 bytes for Hardsigmoid lookup table"); in pytorch_qnnp_create_hardsigmoid_nc_q8()
111 // hardsigmoid, no min/max functions in C in pytorch_qnnp_create_hardsigmoid_nc_q8()
140 pytorch_qnnp_operator_t hardsigmoid, in pytorch_qnnp_setup_hardsigmoid_nc_q8() argument
153 hardsigmoid->batch_size = 0; in pytorch_qnnp_setup_hardsigmoid_nc_q8()
[all …]
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| /external/executorch/backends/vulkan/runtime/graph/ops/glsl/ |
| D | activations.h | 34 float hardsigmoid(float x) { in hardsigmoid() function
38 vec4 hardsigmoid(vec4 tex) { in hardsigmoid() function
40 hardsigmoid(tex.x), in hardsigmoid()
41 hardsigmoid(tex.y), in hardsigmoid()
42 hardsigmoid(tex.z), in hardsigmoid()
43 hardsigmoid(tex.w)); in hardsigmoid()
|
| D | unary_op.yaml | 43 - NAME: hardsigmoid
44 OPERATOR: hardsigmoid(X)
|
| /external/pytorch/benchmarks/operator_benchmark/pt/ |
| D | hardsigmoid_test.py | 8 Microbenchmarks for the hardsigmoid operator.
12 # Configs for hardsigmoid ops
34 ["Hardsigmoid", nn.Hardsigmoid],
|
| D | qactivation_test.py | 49 ("functional.hardsigmoid", qF.hardsigmoid),
|
| /external/pytorch/aten/src/ATen/native/metal/ |
| D | MetalNeuronType.h | 16 HardSigmoid, enumerator
45 } else if (type == NeuronType::HardSigmoid) { in neuron()
46 return [MPSCNNNeuronOp hardSigmoid]; in neuron()
60 } else if (type == NeuronType::HardSigmoid) { in neuronDescriptor()
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| /external/pytorch/aten/src/ATen/native/quantized/cpu/qnnpack/bench/ |
| D | hardsigmoid.cc | 49 state.SkipWithError("failed to create Hardsigmoid operator"); in hardsigmoid_q8()
60 state.SkipWithError("failed to setup Hardsigmoid operator"); in hardsigmoid_q8()
67 state.SkipWithError("failed to run Hardsigmoid operator"); in hardsigmoid_q8()
81 state.SkipWithError("failed to delete Hardsigmoid operator"); in hardsigmoid_q8()
|
| /external/pytorch/aten/src/ATen/native/quantized/cpu/ |
| D | qhardsigmoid.cpp | 59 "failed to create QNNPACK Hardsigmoid operator"); in qnnpack_hardsigmoid()
75 "failed to setup QNNPACK Hardsigmoid operator"); in qnnpack_hardsigmoid()
84 "failed to run QNNPACK Hardsigmoid operator"); in qnnpack_hardsigmoid()
103 // Note: we create a new temporary tensor because the output of hardsigmoid in hardsigmoid_out_quantized_cpu()
|
| /external/executorch/backends/qualcomm/builders/ |
| D | op_hardsigmoid.py | 21 target = ["aten.hardsigmoid.default"]
58 # The operation enum of hardsigmoid in QNN
65 # The parameter used in Pytorch definition for hardsigmoid
|
| /external/pytorch/torch/ao/ns/fx/ |
| D | mappings.py | 241 # F.hardsigmoid
244 "hardsigmoid",
245 F.hardsigmoid,
246 nn.Hardsigmoid,
541 F.hardsigmoid,
679 nn.Hardsigmoid,
703 "hardsigmoid",
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| /external/pytorch/aten/src/ATen/native/quantized/cpu/qnnpack/ |
| D | CMakeLists.txt | 164 src/hardsigmoid.c
548 add_executable(hardsigmoid-test test/hardsigmoid.cc)
549 set_target_properties(hardsigmoid-test PROPERTIES
553 target_include_directories(hardsigmoid-test PRIVATE src test)
554 target_link_libraries(hardsigmoid-test PRIVATE pytorch_qnnpack cpuinfo gtest gtest_main)
555 add_test(hardsigmoid-test hardsigmoid-test)
803 add_executable(hardsigmoid-bench bench/hardsigmoid.cc)
804 set_target_properties(hardsigmoid-bench PROPERTIES
808 target_link_libraries(hardsigmoid-bench PRIVATE pytorch_qnnpack benchmark)
|
| D | configure.py | 89 build.cc("hardsigmoid.c"),
225 build.unittest("hardsigmoid-test", build.cxx("hardsigmoid.cc"))
264 build.benchmark("hardsigmoid-bench", build.cxx("hardsigmoid.cc"))
|
| D | buckbuild.bzl | 271 "src/hardsigmoid.c",
579 "test/hardsigmoid.cc",
617 "hardsigmoid-operator-tester.h": "test/hardsigmoid-operator-tester.h",
|
| /external/executorch/backends/vulkan/runtime/graph/ops/impl/ |
| D | UnaryOp.cpp | 139 DEFINE_ACTIVATION_FN(hardsigmoid);
157 VK_REGISTER_OP(aten.hardsigmoid.default, hardsigmoid);
|
| /external/pytorch/torch/nn/modules/ |
| D | __init__.py | 9 Hardsigmoid,
226 "Hardsigmoid",
|
| /external/pytorch/functorch/op_analysis/ |
| D | public_api | 104 nn.functional.hardsigmoid
474 nn.functional.hardsigmoid
|
| /external/pytorch/torch/ao/quantization/ |
| D | qconfig_mapping.py | 45 torch.nn.Hardsigmoid: default_fixed_qparams_range_0to1_observer,
46 torch.nn.functional.hardsigmoid: default_fixed_qparams_range_0to1_observer,
47 "hardsigmoid": default_fixed_qparams_range_0to1_observer,
|
| /external/pytorch/test/cpp/jit/ |
| D | test_subgraph_utils.cpp | 64 %q5 : Tensor = aten::hardsigmoid(%q4) in TEST()
104 ->check("aten::hardsigmoid") in TEST()
|
| /external/executorch/backends/xnnpack/partition/ |
| D | configs.py | 72 torch.nn.Hardsigmoid, # we can handle decomposition
120 torch.nn.Hardsigmoid,
|
| /external/pytorch/aten/src/ATen/native/metal/mpscnn/ |
| D | MPSCNNNeuronOp.h | 5 + (MPSCNNNeuronHardSigmoid*)hardSigmoid API_AVAILABLE(ios(11.0), macos(10.13));
|
| /external/pytorch/aten/src/ATen/native/quantized/cpu/qnnpack/include/ |
| D | pytorch_qnnpack.h | 418 pytorch_qnnp_operator_t* hardsigmoid);
421 pytorch_qnnp_operator_t hardsigmoid,
|
| /external/pytorch/aten/src/ATen/native/vulkan/ops/ |
| D | Clamp.cpp | 324 Tensor hardsigmoid(const Tensor& self) { in hardsigmoid() function
325 return ops::activation(self, VK_KERNEL(hardsigmoid)); in hardsigmoid()
601 m.impl(TORCH_SELECTIVE_NAME("aten::hardsigmoid"), hardsigmoid); in TORCH_LIBRARY_IMPL()
|
| /external/pytorch/torch/ao/pruning/_experimental/pruner/ |
| D | base_structured_sparsifier.py | 46 F.hardsigmoid,
73 nn.Hardsigmoid,
|
| /external/pytorch/torch/ao/nn/quantized/ |
| D | functional.py | 35 "hardsigmoid",
650 def hardsigmoid(input: Tensor, inplace: bool = False) -> Tensor: function
651 r"""This is the quantized version of :func:`~torch.nn.functional.hardsigmoid`."""
653 raise ValueError("Input to 'quantized.hardsigmoid' must be quantized!")
656 return torch._C._nn.hardsigmoid(input)
|
| /external/pytorch/torch/csrc/jit/passes/ |
| D | restore_mutation.h | 20 {aten::hardsigmoid, false},
|