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Results 1 - 10 of 12 for diagonal (0.16 sec)
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tensorflow/compiler/mlir/lite/transforms/prepare_patterns.td
Pat<(TF_MatrixSetDiagV2Op $input, $diagonal, (Arith_ConstantOp ConstantAttr<I32ElementsAttr, "{0}">)), (TF_MatrixSetDiagOp $input, $diagonal)>; // `align` attribute can be ignored because we only support converting // `MatrixSetDiagV3` to `MatrixSetDiag` with default `k` inputs. def ConvertMatrixSetDiagV3ToMatrixSetDiag : Pat<(TF_MatrixSetDiagV3Op $input, $diagonal,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 00:40:15 UTC 2024 - 10.5K bytes - Viewed (0) -
src/image/gif/writer_test.go
var buf bytes.Buffer if err := Encode(&buf, src, nil); err != nil { t.Errorf("gray-diagonal: Encode: %v", err) return } m, err := Decode(&buf) if err != nil { t.Errorf("gray-diagonal: Decode: %v", err) return } if got, want := m.Bounds(), image.Rect(0, 0, 6, 6); got != want { t.Errorf("gray-diagonal: got %v, want %v", got, want) return }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Jun 03 14:56:25 UTC 2024 - 19K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
let summary = "Returns a diagonal tensor with a given diagonal values."; let description = [{ Given a `diagonal`, this operation returns a tensor with the `diagonal` and everything else padded with zeros. The diagonal is computed as follows: Assume `diagonal` has dimensions [D1,..., Dk], then the output is a tensor of
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/legalize_patterns.td
(TFL_NonMaxSuppressionV5Op $boxes, $scores, $max_output_size, $iou_threshold, $score_threshold, $soft_nms_sigma)>; def LegalizeMatrixDiag : Pat<(TF_MatrixDiagOp $diagonal), (TFL_MatrixDiagOp $diagonal)>; def LegalizeConv2DBackpropInput : Pat< (TF_Conv2DBackpropInputOp $input_sizes, $filter, $out_backprop, IsIntList1XY1:$strides, BoolAttr:$use_cudnn_on_gpu,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 04 13:30:42 UTC 2024 - 28.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_composite_functions_tf.cc
// LSTM `func::FuncOps` with indy behavior always have the `tf.api_implements` // function attribute prefixed with `"indy_lstm_"`. // IndyLSTMs have diagonal recurrent weight matrices and can benefit from // more efficent operations in TFLite with the correct conversion (i.e. when // the diagonal recurrent weight matrices are provided as vectors). if (attr.getValue().starts_with("indy_lstm_")) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 17.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
TFL_TCresVTEtIsSameAsOp<0, 0>>]> { let summary = [{ Returns a tensor with the provided diagonal and everything else padded with zeros. }]; let description = [{ Given a diagonal, returns a tensor with the diagonal and everything else padded with zeros. Assume diagonal has k dimensions `[I, J, K, ..., N]`, then the output is a tensor of rank `k+1` with dimensions `[I, J, K, ..., N, N]` where:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
// We extract the diagonals from k[0] up to and including k[1]. // Addressing is 0 for the main diagonal. (So k = [0, 0] would just extract // the main diagonal). It's negative for subdiagonals (under and to the left // of the main diagonal) and positive for superdiagonals (above and to the // right of the main diagonal). int64_t k[2];
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 291.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/lstm_utils.cc
&recurrent_weights_array))) return failure(); // Reshape recurrent weights to vectors if indy behaviour is enabled. // IndyLSTMs are a LSTM variant with diagonal recurrent weight // matrices. For optimization purposes these are provided as vectors. Value recurrent_to_input_weights = indy ? mlir::cast<Value>(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 36.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/legalize_tf.cc
return success(); } // MatrixDiagV3 is MatrixDiagV2 with an alignment attribute. This attribute // only has effects when processing multiple diagonals. Since TFLite converts // MatrixDiagV{2,3} to MatrixDiag, which only takes single-diagonal inputs, we // can safely ignore this V3 attribute. // We can't pass `rewriter` by reference because clang-tidy will want it to be
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 20 20:06:54 UTC 2024 - 45.2K bytes - Viewed (0) -
okhttp-idna-mapping-table/src/main/resources/okhttp3/internal/idna/IdnaMappingTable.txt
A743 ; valid # 5.1 LATIN SMALL LETTER K WITH DIAGONAL STROKE A744 ; mapped ; A745 # 5.1 LATIN CAPITAL LETTER K WITH STROKE AND DIAGONAL STROKE A745 ; valid # 5.1 LATIN SMALL LETTER K WITH STROKE AND DIAGONAL STROKE
Registered: Sun Jun 16 04:42:17 UTC 2024 - Last Modified: Sat Feb 10 11:25:47 UTC 2024 - 854.1K bytes - Viewed (0)