| /external/tensorflow/tensorflow/compiler/xla/service/ |
| D | logistic_expander.cc | 41 HloInstruction* ExpandLogisticWithTanh(HloInstruction* logistic) { in ExpandLogisticWithTanh() argument
42 HloInstruction* operand = logistic->mutable_operand(0); in ExpandLogisticWithTanh()
57 HloInstruction* ExpandLogisticWithExp(HloInstruction* logistic) { in ExpandLogisticWithExp() argument
58 HloInstruction* operand = logistic->mutable_operand(0); in ExpandLogisticWithExp()
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| /external/tensorflow/tensorflow/lite/kernels/internal/reference/ |
| D | lstm_cell.h | 370 F0 input_gate_output = gemmlowp::logistic(input_gate_input); in LstmCell()
380 F0 forget_gate_output = gemmlowp::logistic(forget_gate_input); in LstmCell()
384 F0 output_gate_output = gemmlowp::logistic(output_gate_input); in LstmCell()
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| D | logistic.h | 82 F0 output = gemmlowp::logistic(input); in Logistic()
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| /external/eigen/Eigen/src/Core/ |
| D | GlobalFunctions.h | 74 …EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(logistic,scalar_logistic_op,logistic function,\sa ArrayBase::logi…
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| /external/ComputeLibrary/src/core/NEON/kernels/detail/ |
| D | NEActivationFunctionDetail.h | 149 struct logistic struct
160 explicit logistic(ActivationLayerInfo act_info) in logistic() argument
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| /external/tensorflow/tensorflow/compiler/mlir/hlo/tests/ |
| D | hlo-legalize-to-lhlo-only-dynamic.mlir | 238 // CHECK-LABEL: func @logistic
240 func @logistic(%arg0: tensor<?x?xf32>) -> tensor<?x?xf32> {
245 // CHECK: "lmhlo.logistic"(%[[ARG]], %[[OUT]])
246 %0 = "mhlo.logistic"(%arg0) : (tensor<?x?xf32>) -> tensor<?x?xf32>
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| /external/tensorflow/tensorflow/compiler/xla/mlir_hlo/tests/Dialect/mhlo/ |
| D | hlo-legalize-to-lhlo-only-dynamic.mlir | 239 // CHECK-LABEL: func @logistic
241 func.func @logistic(%arg0: tensor<?x?xf32>) -> tensor<?x?xf32> {
246 // CHECK: "lmhlo.logistic"(%[[ARG]], %[[OUT]])
247 %0 = "mhlo.logistic"(%arg0) : (tensor<?x?xf32>) -> tensor<?x?xf32>
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| /external/tensorflow/tensorflow/lite/kernels/internal/reference/integer_ops/ |
| D | logistic.h | 49 gemmlowp::logistic(FixedPoint4::FromRaw(input_in_q4)).raw(); in Logistic()
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| /external/eigen/test/ |
| D | array_cwise.cpp | 368 VERIFY_IS_APPROX(m1.logistic(), logistic(m1)); in array_real()
406 VERIFY_IS_APPROX(logistic(m1), (Scalar(1)/(Scalar(1)+exp(-m1)))); in array_real()
498 VERIFY_IS_APPROX(m1.logistic(), logistic(m1)); in array_complex()
528 VERIFY_IS_APPROX(logistic(m1), (1.0/(1.0 + exp(-m1)))); in array_complex()
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| D | packetmath.cpp | 838 internal::scalar_logistic_op<Scalar> logistic; in packetmath_real() local
844 h.store(data2, logistic.packetOp(h.load(data1))); in packetmath_real()
846 VERIFY_IS_APPROX(data2[i], logistic(data1[i])); in packetmath_real()
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| /external/tensorflow/tensorflow/compiler/mlir/lite/tests/ |
| D | post-quantize.mlir | 126 …%1 = "tfl.logistic"(%0) : (tensor<1x3x3x!quant.uniform<i8:f32, 0.003:-128>>) -> tensor<1x3x3x!quan…
131 // CHECK: %[[logistic:.*]] = "tfl.logistic"
132 // CHECK: %[[dq:.*]] = "tfl.dequantize"(%[[logistic]])
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| D | tfl_while_outline.mlir | 117 %12 = "tfl.logistic"(%11) : (tensor<4x2xf32>) -> tensor<4x2xf32>
120 %15 = "tfl.logistic"(%10#0) : (tensor<4x2xf32>) -> tensor<4x2xf32>
124 %19 = "tfl.logistic"(%10#3) : (tensor<4x2xf32>) -> tensor<4x2xf32>
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| D | get-arithmetic-count.mlir | 80 %0 = "tfl.logistic"(%arg0) : (tensor<10x10xf32>) -> tensor<10x10xf32>
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| D | prepare-quantize.mlir | 378 %1 = "tfl.logistic"(%0) : (tensor<1x6x6x16xf32>) -> tensor<1x6x6x16xf32>
382 // CHECK: %1 = "tfl.logistic"(%0) : (tensor<1x6x6x16xf32>) -> tensor<1x6x6x16xf32>
390 …%0 = "tfl.logistic"(%arg0) : (tensor<1x6x6x16x!quant.uniform<u8:f32, 7.812500e-03:128>>) -> tensor…
393 // CHECK: %[[log:.*]] = "tfl.logistic"(%arg0)
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| /external/tensorflow/tensorflow/lite/kernels/internal/ |
| D | tensor_utils.h | 188 output_map.array() = input_map.array().logistic(); in ApplySigmoidToVector()
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| D | BUILD | 546 "reference/integer_ops/logistic.h",
554 "reference/logistic.h",
660 "reference/logistic.h",
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_SdcaOptimizerV2.pbtxt | 95 Type of the primal loss. Currently SdcaSolver supports logistic,
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| D | api_def_SdcaOptimizer.pbtxt | 94 Type of the primal loss. Currently SdcaSolver supports logistic,
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| /external/eigen/Eigen/src/plugins/ |
| D | ArrayCwiseUnaryOps.h | 397 logistic() const in logistic() function
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| /external/eigen/Eigen/src/Core/functors/ |
| D | UnaryFunctors.h | 1097 const Packet logistic = padd(pdiv(p, q), pset1<Packet>(0.5f));
1100 return pselect(lt_mask, exponential, logistic);
1102 return logistic;
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| /external/tensorflow/tensorflow/lite/kernels/internal/optimized/ |
| D | optimized_ops.h | 2722 F0 input_gate_output = gemmlowp::logistic(input_gate_input); in LstmCell()
2733 F0 forget_gate_output = gemmlowp::logistic(forget_gate_input); in LstmCell()
2737 F0 output_gate_output = gemmlowp::logistic(output_gate_input); in LstmCell()
2795 F0 input_gate_output = gemmlowp::logistic(input_gate_input); in LstmCell()
2804 F0 forget_gate_output = gemmlowp::logistic(forget_gate_input); in LstmCell()
2807 F0 output_gate_output = gemmlowp::logistic(output_gate_input); in LstmCell()
3894 F0 output0 = gemmlowp::logistic(input0); in Logistic()
3895 F0 output1 = gemmlowp::logistic(input1); in Logistic()
3904 F0 output = gemmlowp::logistic(input); in Logistic()
3926 F0 output0 = gemmlowp::logistic(input0); in Logistic()
[all …]
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| D | legacy_optimized_ops.h | 3283 F0 input_gate_output = gemmlowp::logistic(input_gate_input); in LstmCell()
3294 F0 forget_gate_output = gemmlowp::logistic(forget_gate_input); in LstmCell()
3298 F0 output_gate_output = gemmlowp::logistic(output_gate_input); in LstmCell()
3356 F0 input_gate_output = gemmlowp::logistic(input_gate_input); in LstmCell()
3365 F0 forget_gate_output = gemmlowp::logistic(forget_gate_input); in LstmCell()
3368 F0 output_gate_output = gemmlowp::logistic(output_gate_input); in LstmCell()
4350 const FixedPoint0 output_val_f0_0 = gemmlowp::logistic(input_val_f4_0); in Logistic()
4351 const FixedPoint0 output_val_f0_1 = gemmlowp::logistic(input_val_f4_1); in Logistic()
4352 const FixedPoint0 output_val_f0_2 = gemmlowp::logistic(input_val_f4_2); in Logistic()
4353 const FixedPoint0 output_val_f0_3 = gemmlowp::logistic(input_val_f4_3); in Logistic()
[all …]
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| D | neon_tensor_utils.cc | 1664 F0 output0 = gemmlowp::logistic(input0); in NeonApplySigmoid()
1665 F0 output1 = gemmlowp::logistic(input1); in NeonApplySigmoid()
1666 F0 output2 = gemmlowp::logistic(input2); in NeonApplySigmoid()
1667 F0 output3 = gemmlowp::logistic(input3); in NeonApplySigmoid()
1679 F0_Scalar output_f0 = gemmlowp::logistic(input_f3); in NeonApplySigmoid()
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| /external/tensorflow/tensorflow/core/example/ |
| D | example.proto | 57 // # E.g., if training a logistic regression model to predict purchase
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| /external/gemmlowp/test/ |
| D | test_fixedpoint.cc | 319 return logistic(f).raw(); in Op()
|