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Results 1 - 10 of 64 for Bias (0.04 sec)
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tensorflow/compiler/mlir/lite/transforms/default_quant_params.cc
mlir::cast<quant::QuantizedType>(non_bias_type.getElementType()); non_bias_types.push_back(non_bias_ele_type); } else { // The non-bias hasn't been quantized, let's skip this bias. break; } } // The non-bias hasn't been quantized, let's skip this bias. if (non_bias_types.size() != non_biases.size()) return {}; return func(/*op_types=*/non_bias_types, /*adjusted_quant_dim=*/-1,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 9.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/optimize.mlir
// CHECK-NEXT: %[[conv:.*]] = "tf.Conv2D"(%arg0, %[[cst]]) // CHECK-NEXT: %[[bias:.*]] = "tf.AddV2"(%[[conv]], %[[cst_0]]) // CHECK-NEXT: return %[[bias]] : tensor<256x8x7x16xf32> } // CHECK-LABEL: convaddv2mul func.func @convaddv2mul(%arg: tensor<256x32x32x3xf32>) -> tensor<256x8x7x16xf32> { %filter = arith.constant dense<2.0> : tensor<3x3x3x16xf32> %bias = arith.constant dense<3.0> : tensor<16xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 3.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/examples/mnist/mnist_ops_test.py
filter_ = tf.random.uniform([2, 2, 1, 8]) bias = tf.zeros([8]) kwargs = { 'input_': input_, 'filter_': filter_, 'bias': bias, 'stride_w': 2, 'stride_h': 2, 'dilation_w': 1, 'dilation_h': 1, 'padding': 'SAME', 'act': 'RELU' } self._assertOpAndComposite([input_, filter_, bias],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Sep 28 21:37:05 UTC 2021 - 4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model_lift_variables.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 - 6.2K bytes - Viewed (0) -
src/vendor/golang.org/x/net/idna/punycode.go
} t := k - bias if k <= bias { t = tmin } else if k >= bias+tmax { t = tmax } if digit < t { break } w, overflow = madd(0, w, base-t) if overflow { return "", punyError(encoded) } } if len(output) >= 1024 { return "", punyError(encoded) } x := int32(len(output) + 1) bias = adapt(i-oldI, x, oldI == 0) n += i / x
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Nov 09 20:10:36 UTC 2021 - 4.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize_batch_matmul.td
), [(AreLastTwoDimsTransposed $perm_value), (IsNoneType $bias)]>; // Fuses TFL_FullyConnectedOp and TFL_TransposeOp Rhs to TFL_BatchMatMulOp def FuseTransposeFCRhsToBatchMatmul : Pat< (TFL_FullyConnectedOp 2DTensorOf<[F32]>:$lhs, (TFL_TransposeOp TensorOf<[F32]>:$rhs, (Arith_ConstantOp:$perm_value $p0)), $bias, $TFL_AF_None, $TFL_FCWO_Default, $keep_num_dims, $asymmetric_quantize_inputs ),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 09 23:44:09 UTC 2023 - 2.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/optimize.td
$dilations, (location $conv)), [(CanFuseMulAndConv2D $filter_value, $mul_value), (HasOneUse $conv)]>; // This rule does the following pattern match and rewrite: // // input bias input value bias value // \ / => \ / \ / // BiasAdd value Mul Mul // \ / \ /
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 22 07:31:23 UTC 2023 - 5.4K bytes - Viewed (0) -
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) -
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)