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Results 1 - 10 of 57 for upsilon (0.2 sec)
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src/mdo/reader-stax.vm
entities.put("Pi", "\u03a0"); entities.put("Rho", "\u03a1"); entities.put("Sigma", "\u03a3"); entities.put("Tau", "\u03a4"); entities.put("Upsilon", "\u03a5"); entities.put("Phi", "\u03a6"); entities.put("Chi", "\u03a7"); entities.put("Psi", "\u03a8"); entities.put("Omega", "\u03a9"); entities.put("alpha", "\u03b1");
Registered: Wed Jun 12 09:55:16 UTC 2024 - Last Modified: Mon Mar 25 10:50:01 UTC 2024 - 38.1K bytes - Viewed (0) -
src/cmd/vendor/rsc.io/markdown/entity.go
"⇕": "\u21d5", "↖": "\u2196", "↗": "\u2197", "ϒ": "\u03d2", "Υ": "\u03a5", "Ů": "\u016e", "𝒰": "\U0001d4b0", "Ũ": "\u0168",
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Jan 24 13:01:26 UTC 2024 - 101K bytes - Viewed (0) -
src/mdo/reader.vm
entities.put("Pi", "\u03a0"); entities.put("Rho", "\u03a1"); entities.put("Sigma", "\u03a3"); entities.put("Tau", "\u03a4"); entities.put("Upsilon", "\u03a5"); entities.put("Phi", "\u03a6"); entities.put("Chi", "\u03a7"); entities.put("Psi", "\u03a8"); entities.put("Omega", "\u03a9"); entities.put("alpha", "\u03b1");
Registered: Wed Jun 12 09:55:16 UTC 2024 - Last Modified: Fri Dec 15 06:33:11 UTC 2023 - 42.1K bytes - Viewed (0) -
okhttp-idna-mapping-table/src/main/resources/okhttp3/internal/idna/IdnaMappingTable.txt
1FE0..1FE2 ; valid # 1.1 GREEK SMALL LETTER UPSILON WITH VRACHY..GREEK SMALL LETTER UPSILON WITH DIALYTIKA AND VARIA 1FE3 ; mapped ; 03B0 # 1.1 GREEK SMALL LETTER UPSILON WITH DIALYTIKA AND OXIA 1FE4..1FE7 ; valid # 1.1 GREEK SMALL LETTER RHO WITH PSILI..GREEK SMALL LETTER UPSILON WITH DIALYTIKA AND PERISPOMENI
Registered: Sun Jun 16 04:42:17 UTC 2024 - Last Modified: Sat Feb 10 11:25:47 UTC 2024 - 854.1K bytes - Viewed (0) -
src/html/entity.go
"Updownarrow;": '\U000021D5', "UpperLeftArrow;": '\U00002196', "UpperRightArrow;": '\U00002197', "Upsi;": '\U000003D2', "Upsilon;": '\U000003A5', "Uring;": '\U0000016E', "Uscr;": '\U0001D4B0', "Utilde;": '\U00000168',
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Jul 31 22:10:54 UTC 2018 - 114.3K bytes - Viewed (0) -
src/encoding/xml/xml.go
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Mar 08 18:46:41 UTC 2024 - 47.3K bytes - Viewed (0) -
tensorflow/cc/gradients/nn_grad.cc
} Output x = op.input(0); Output grad_y = grad_inputs[0]; Output scale = op.input(1); float epsilon; std::string data_format; bool is_training; TF_RETURN_IF_ERROR(GetNodeAttr(op.node()->attrs(), "epsilon", &epsilon)); TF_RETURN_IF_ERROR( GetNodeAttr(op.node()->attrs(), "data_format", &data_format)); TF_RETURN_IF_ERROR(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 27 23:34:33 UTC 2022 - 24.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/unfuse_batch_norm_pass.cc
return failure(); } // result = (x - mean) * scale / sqrt(variance + epsilon) + offset // Let multiplier = scale / sqrt(variance + epsilon), to compute // (x - mean) * scale / sqrt(variance + epsilon) + offset, // is then to compute (x * multiplier) + (offset - mean * multiplier). auto epsilon = materializeEpsilon( bn_op.getOperation(), bn_op.getEpsilonAttr(), fp_type,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 11.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/decompose_resource_ops.td
// attribute. // accum <- accum + grad * grad // variable <- variable - lr * grad / (sqrt(accum) + epsilon) def DecomposeResourceApplyAdagradV2 : Pattern< (TF_ResourceApplyAdagradV2Op:$src_op $var_resource, $accum_resource, $lr, $epsilon, $grad, BoolAttr:$_, ConstBoolAttrTrue:$update_slots), [ (TF_AddV2Op:$new_accum
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 22 19:47:48 UTC 2024 - 20.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/unfuse_mhlo_batch_norm.mlir
%0 = "mhlo.batch_norm_inference"(%x, %scale, %offset, %mean, %variance) {epsilon = 0.001 : f32, feature_index = 1 : i64} : (tensor<?x?x?x?xf32>, tensor<?xf32>, tensor<?xf32>, tensor<?xf32>, tensor<?xf32>) -> tensor<?x?x?x?xf32> func.return %0 : tensor<?x?x?x?xf32> } // CHECK-LABEL: @batchNormInference_f64 // Validate that epsilon is properly promoted to f64
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 10.4K bytes - Viewed (0)