| /external/pytorch/test/jit/ |
| D | test_remove_mutation.py | 29 y.add_(2)
35 FileCheck().check("aten::add_").run(graph)
53 y.add_(2)
59 FileCheck().check("aten::add_").run(graph)
64 x.add_(1)
65 x.add_(3)
72 FileCheck().check_not("aten::add_").run(graph)
77 x.add_(1)
79 x.add_(3)
84 FileCheck().check_count("aten::add_", 2).run(graph)
[all …]
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| D | test_functional_blocks.py | 30 z.add_(2)
53 # z + 1, z.add_(2) considered non functional, z = z * z should be considered functional
54 FileCheck().check("add").check("add_").check_not("mul").check(
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| /external/pytorch/torch/optim/ |
| D | _functional.py | 67 exp_avg.add_(make_sparse(exp_avg_update_values))
72 exp_avg_sq.add_(make_sparse(exp_avg_sq_update_values))
75 numer = exp_avg_update_values.add_(old_exp_avg_values)
76 exp_avg_sq_update_values.add_(old_exp_avg_sq_values)
77 denom = exp_avg_sq_update_values.sqrt_().add_(eps)
84 param.add_(make_sparse(-step_size * numer.div_(denom)))
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| /external/pytorch/torch/csrc/api/src/nn/modules/ |
| D | _functions.cpp | 46 scale_first.add_(input_square.select(1, c)); in forward()
60 scale_current.add_(square_next, 1); in forward()
65 scale_current.add_(square_previous, -1); in forward()
73 .add_(ctx->saved_data["k"].toInt()); in forward()
129 accum_ratio.add_(padded_ratio[c + ctx->saved_data["size"].toInt() - 1]); in backward()
131 accum_ratio.add_(padded_ratio[c], -1); in backward()
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| /external/pytorch/test/cpp/jit/ |
| D | test_dce.cpp | 37 # CHECK: add_ in TEST()
38 %tot.3 : Tensor = aten::add_(%tot.6, %35, %12) in TEST()
41 # CHECK: add_ in TEST()
42 %46 : Tensor = aten::add_(%44, %12, %12) in TEST()
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| /external/pytorch/test/ |
| D | test_fx_reinplace_pass.py | 20 # into add_()
37 add = torch.ops.aten.add_.Tensor(clone, 1); add = None
65 add_1 = torch.ops.aten.add_.Tensor(view, 1); add_1 = None
128 d.add_(1)
154 add = torch.ops.aten.add_.Tensor(view_2, 1); add = None
163 add_1 = torch.ops.aten.add_.Tensor(view_5, view_8); view_8 = add_1 = None
173 c.add_(1)
193 add = torch.ops.aten.add_.Tensor(select_1, 1); select_1 = add = None
233 add = torch.ops.aten.add_.Tensor(select_1, 1); select_1 = add = None
332 add = torch.ops.aten.add_.Tensor(diagonal, 1); diagonal = add = None
[all …]
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| D | test_functionalization.py | 163 x.add_(1)
177 x.add_(1)
178 self.assertRaises(RuntimeError, lambda: y.add_(1))
179 self.assertRaises(RuntimeError, lambda: z.add_(1))
279 y.add_(tmp)
424 z.add_(1)
459 add = torch.ops.aten.add_.Tensor(view, 1); add = None
498 x.add_(tmp)
569 y.add_(1)
672 y.add_(tmp)
[all …]
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| /external/pytorch/test/fx/ |
| D | test_common_passes.py | 41 y.add_(1)
46 x.add_(1)
53 y.add_(1)
59 y.add_(1)
|
| /external/rust/android-crates-io/crates/grpcio-sys/grpc/third_party/upb/protos_generator/ |
| D | gen_repeated_fields.cc | 61 using $0Access::add_$1; in WriteRepeatedFieldUsingAccessors()
76 using $0Access::add_$1; in WriteRepeatedFieldUsingAccessors()
107 absl::StatusOr<$0> add_$2(); in WriteRepeatedFieldsInMessageHeader()
117 bool add_$1($0 val); in WriteRepeatedFieldsInMessageHeader()
146 absl::StatusOr<$1> $0::add_$2() { in WriteRepeatedMessageAccessor()
200 bool $0::add_$2($1 val) { in WriteRepeatedStringAccessor()
245 bool $0::add_$2($1 val) { return $3_add_$4(msg_, val, arena_); } in WriteRepeatedScalarAccessor()
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| /external/pytorch/aten/src/ATen/functorch/ |
| D | PyTorchOperatorHacks.cpp | 69 return output.add_(*bias); in linear_hack()
98 auto log_weight = (pos_weight - 1).mul(target).add_(1); in binary_cross_entropy_with_logits_hack()
99 …nput).add(log_weight.mul(((-max_val).exp_().add((-input - max_val).exp_())).log_().add_(max_val))); in binary_cross_entropy_with_logits_hack()
101 …loss = (1 - target).mul(input).add_(max_val).add_((-max_val).exp_().add((-input -max_val).exp_()).… in binary_cross_entropy_with_logits_hack()
191 b = noise.add(-1).mul_(alpha * a).add_(alpha * a * p); in _dropout_impl()
200 return multiply<inplace>(input, noise).add_(b); in _dropout_impl()
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| /external/pytorch/torch/testing/_internal/ |
| D | hop_db.py | 23 return [x[0].cos().add_(1.) * y0, (x[1] + y1.sin()).cos_().view(x[1].size())]
76 x.add_(5)
77 z.add_(5)
83 x.add_(5)
84 z.add_(5)
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| /external/pytorch/torch/nn/modules/ |
| D | _functions.py | 247 scale_first.add_(input_square.select(1, c))
257 scale_current.add_(square_next, alpha=1)
261 scale_current.add_(square_previous, alpha=-1)
263 ctx.scale.mul_(ctx.alpha / ctx.size).add_(ctx.k)
302 accum_ratio.add_(paddded_ratio[c + ctx.size - 1])
306 accum_ratio.add_(paddded_ratio[c], alpha=-1)
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| /external/pytorch/torch/csrc/jit/passes/ |
| D | fuse_relu.cpp | 33 %add_res = aten::add_(%a, %b, %alpha) in fuseAddReluImpl()
55 // NB: Patterns that are left out are add_ + relu and add_out + relu in fuseAddReluImpl()
56 // This is because inplace mutation of the tensor done by add_ will be lost if in fuseAddReluImpl()
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| /external/pytorch/torch/csrc/api/src/optim/ |
| D | adagrad.cpp | 111 state.sum(state.sum().add_(make_sparse(grad_values.pow(2)))); in step()
113 const auto std_values = std._values().sqrt_().add_(options.eps()); in step()
115 p.add_(make_sparse(grad_values / std_values), -clr); in step()
118 const auto std = state.sum().sqrt().add_(options.eps()); in step()
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| D | rmsprop.cpp | 121 grad_avg.mul_(alpha).add_(grad, 1 - alpha); in step()
124 .add_(options.eps()); in step()
126 avg = square_avg.sqrt().add_(options.eps()); in step()
133 p.add_(buf, -options.lr()); in step()
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| /external/pytorch/c10/core/ |
| D | InferenceMode.h | 34 // for `inference_tensor.add_(1)` case.
43 // k.add_(2);
45 // `k.add_(2)` still need to go through ADInplaceOrView kernel so that it's
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| /external/pytorch/test/cpp/api/ |
| D | inference_mode.cpp | 465 b.add_(1), in TEST()
472 c.add_(1), in TEST()
490 b_el.add_(1), in TEST()
496 c_el.add_(1), in TEST()
561 // Testing both copy_ from VariableTypeManual and add_ from generated code. in TEST()
563 s.add_(t); in TEST()
564 t.add_(s); in TEST()
568 s.add_(t); in TEST()
574 t.add_(s), in TEST()
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| /external/executorch/backends/mediatek/quantizer/ |
| D | annotator.py | 125 torch.ops.aten.add_.Scalar,
126 torch.ops.aten.add_.Tensor,
219 torch.ops.aten.add_.Scalar,
220 torch.ops.aten.add_.Tensor,
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| /external/angle/third_party/spirv-tools/src/source/opt/ |
| D | modify_maximal_reconvergence.h | 34 explicit ModifyMaximalReconvergence(bool add = true) : Pass(), add_(add) {} in Pass()
48 bool add_; variable
|
| /external/deqp-deps/SPIRV-Tools/source/opt/ |
| D | modify_maximal_reconvergence.h | 34 explicit ModifyMaximalReconvergence(bool add = true) : Pass(), add_(add) {} in Pass()
48 bool add_; variable
|
| /external/swiftshader/third_party/SPIRV-Tools/source/opt/ |
| D | modify_maximal_reconvergence.h | 34 explicit ModifyMaximalReconvergence(bool add = true) : Pass(), add_(add) {} in Pass()
48 bool add_; variable
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| /external/pytorch/test/export/ |
| D | test_verifier.py | 53 node.target = torch.ops.aten.add_.Tensor
95 node.target = torch.ops.aten.add_.Tensor
178 self.my_buffer2.add_(1.0)
201 self.my_buffer2.add_(1.0)
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| D | test_tools.py | 19 x.add_(5)
20 z.add_(5)
|
| /external/OpenCL-CTS/test_conformance/subgroups/ |
| D | test_subgroup_extended_types.cpp | 34 rft.run_impl<T, RED_NU<T, ArithmeticOp::add_>>("sub_group_reduce_add"); in run_scan_reduction_for_type()
39 error |= rft.run_impl<T, SCIN_NU<T, ArithmeticOp::add_>>( in run_scan_reduction_for_type()
45 error |= rft.run_impl<T, SCEX_NU<T, ArithmeticOp::add_>>( in run_scan_reduction_for_type()
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| /external/cronet/tot/third_party/protobuf/src/google/protobuf/compiler/cpp/ |
| D | string_field.cc | 746 "$deprecated_attr$std::string* ${1$add_$name$$}$();\n" in GenerateAccessorDeclarations()
747 "$deprecated_attr$void ${1$add_$name$$}$(const std::string& value);\n" in GenerateAccessorDeclarations()
748 "$deprecated_attr$void ${1$add_$name$$}$(std::string&& value);\n" in GenerateAccessorDeclarations()
749 "$deprecated_attr$void ${1$add_$name$$}$(const char* value);\n", in GenerateAccessorDeclarations()
753 "$deprecated_attr$void ${1$add_$name$$}$(StringPiece value);\n", in GenerateAccessorDeclarations()
757 "$deprecated_attr$void ${1$add_$name$$}$(const $pointer_type$* " in GenerateAccessorDeclarations()
783 "inline std::string* $classname$::add_$name$() {\n" in GenerateInlineAccessorDefinitions()
853 "inline void $classname$::add_$name$(const std::string& value) {\n" in GenerateInlineAccessorDefinitions()
858 "inline void $classname$::add_$name$(std::string&& value) {\n" in GenerateInlineAccessorDefinitions()
863 "inline void $classname$::add_$name$(const char* value) {\n" in GenerateInlineAccessorDefinitions()
[all …]
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