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Results 11 - 20 of 161 for Bias (0.09 sec)
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tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model_lift_variables_invalid_session.mlir
%1 = "tf.ReadVariableOp"(%0) {device = ""} : (tensor<!tf_type.resource<tensor<100x50xf32>>>) -> tensor<100x50xf32> %2 = "tf.VarHandleOp"() {_class = ["loc:@dense/bias"], allowed_devices = [], container = "", device = "", shared_name = "dense/bias"} : () -> tensor<!tf_type.resource<tensor<50xf32>>> %3 = "tf.ReadVariableOp"(%2) {device = ""} : (tensor<!tf_type.resource<tensor<50xf32>>>) -> tensor<50xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 24 05:47:26 UTC 2022 - 2.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize.cc
auto attr = rewriter.getZeroAttr(type); bias = rewriter.create<arith::ConstantOp>(add_op.getLoc(), type, attr); auto none_af = rewriter.getStringAttr("NONE"); bias = rewriter.create<AddOp>(add_op.getLoc(), bias, constant_val, none_af) .getOutput(); } else { // If there no pre-existing bias and the `constant_val` is 1D, simply
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 00:40:15 UTC 2024 - 102.3K bytes - Viewed (0) -
okhttp/src/main/kotlin/okhttp3/internal/idn/Punycode.kt
Registered: Sun Jun 16 04:42:17 UTC 2024 - Last Modified: Wed Apr 03 03:04:50 UTC 2024 - 8.5K bytes - Viewed (0) -
src/math/floor.go
// return t + Copysign(1, x) // } // return t // } bits := Float64bits(x) e := uint(bits>>shift) & mask if e < bias { // Round abs(x) < 1 including denormals. bits &= signMask // +-0 if e == bias-1 { bits |= uvone // +-1 } } else if e < bias+shift { // Round any abs(x) >= 1 containing a fractional component [0,1). // // Numbers with larger exponents are returned unchanged since they
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Apr 11 16:34:30 UTC 2022 - 3.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/prepare_lifting.td
(TF_BiasAddOp:$bias_add $conv_out, (TF_ConstOp:$bias IsFloatElementsAttr:$bias_value), $data_format), (TF_ConstOp:$add_rhs IsFloatElementsAttr:$add_rhs_value)), (TF_BiasAddOp $conv_out, (TF_AddV2Op $bias, (ReshapeTo1DTensor $add_rhs)), $data_format), [(HasOneUse $bias_add), (ReshapableTo1DTensor $add_rhs), (HasEqualElementSize<[-1], [-1]> $bias, $add_rhs)]>; // Fuse AffineOp followed by an MulOp patterns.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 14 03:24:59 UTC 2024 - 8.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_traits.h
: public QuantizationSpecTraitBase< ConcreteType, AccumulatorUniformScale<Bias, Operands...>::Impl> { public: // Whether the index-th operand is a bias. static bool IsBias(int index) { return index == Bias; } // Returns the indexes of all the non-bias operands. static std::vector<int> GetAllNonBiasOperands() { return std::vector<int>({Operands...}); } }; };
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 05 07:39:40 UTC 2024 - 5.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/dilated-conv.mlir
// CHECK-NEXT: [[CONV:%.*]] = "tf.Conv2D"([[INPUT]], [[FILTER]]) <{dilations = [1, 2, 2, 1], padding = "SAME", strides = [1, 1, 1, 1]}> : (tensor<1x128x128x3xf32>, tensor<5x5x3x8xf32>) -> tensor<1x128x128x8xf32> // CHECK-NEXT: [[RESULT:%.*]] = "tf.BiasAdd"([[CONV]], [[BIAS]]) : (tensor<1x128x128x8xf32>, tensor<8xf32>) -> tensor<1x128x128x8xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 44.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize_patterns.td
def UndoBroadcastFullyConnectedBiasAdd : Pat< (TFL_AddOp $lhs, (Arith_ConstantOp:$const_value $bias), TFL_AF_None), (TFL_AddOp $lhs, (Arith_ConstantOp (FlattenTo1D $bias)), TFL_AF_None), [(AnyStaticShapeTensor $lhs), (IsLastDimEqualToNumElements $bias, $bias), (HasRankAtMost<4> $bias), (HasRankAtLeast<2> $bias), (IsDefinedByFullyConnectedOp $lhs),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 66.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/quantization_options.proto
// conversion, then dequantized during inference. // Activation: f32, Weight: qi8, Bias: f32 WEIGHT_ONLY = 1; // Apply default dynamic range quantization. Quantized tensor value's // ranges are determined during graph runtime. // Activation: f32, Weight: qi8, Bias: f32 POST_TRAINING_QUANTIZATION_DYNAMIC_RANGE = 2;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 22 02:20:05 UTC 2023 - 3.6K bytes - Viewed (0) -
tensorflow/c/experimental/ops/nn_ops.h
// Adds `bias` to `value`. Status BiasAdd(AbstractContext* ctx, AbstractTensorHandle* const value, AbstractTensorHandle* const bias, AbstractTensorHandle** output, const char* data_format = "NHWC", const char* name = nullptr, const char* raw_device_name = nullptr); // The backward operation for "BiasAdd" on the "bias" tensor. Status BiasAddGrad(AbstractContext* ctx,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 10 19:11:36 UTC 2022 - 2.6K bytes - Viewed (0)