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Results 11 - 20 of 21 for resize_bilinear (0.46 sec)
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tensorflow/compiler/mlir/lite/stablehlo/tests/tf-tfl-translate-serialize-stablehlo-resize-bilinear.mlir
module { func.func @main(%arg0: tensor<21x32x32x128xf32>, %arg1: tensor<2xi32>) -> tensor<1x64x64x128xf32> { %0 = "tf.ResizeBilinear"(%arg0, %arg1) {align_corners = false, device = "", half_pixel_centers = true} : (tensor<21x32x32x128xf32>, tensor<2xi32>) -> tensor<1x64x64x128xf32> func.return %0 : tensor<1x64x64x128xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 02 06:04:37 UTC 2023 - 455 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/tf_stablehlo_pass.cc
Option<bool> skip_quantization_ops_{ *this, "skip-quantization-ops", ::llvm::cl::desc("Skip quantization ops")}; Option<bool> skip_resize_{ *this, "skip-resize", ::llvm::cl::desc("Skip tf.ResizeBilinear and tf.ResizeNearestNeighbor")}; Option<bool> skip_partitioned_calls_{ *this, "skip-partitioned-calls", ::llvm::cl::desc( "Skip tf.StatefulPartitionedCall and tf.PartitionedCall")}; };
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 21:49:50 UTC 2024 - 7.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
let hasOptions = 1; } def TFL_ResizeBilinearOp: TFL_Op<"resize_bilinear", [ Pure, QuantizableResult, PredOpTrait<"input and output must have same element type", TFL_TCresVTEtIsSameAsOp<0, 0>>, TFL_OperandHasRank<0, 4>, TFL_OperandHasRank<1, 1>, SameOperandsAndResultsScale]> { let summary = "ResizeBilinear Op"; let description = [{
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/lite/stablehlo/odml_to_stablehlo.cc
llvm::cl::Optional, llvm::cl::init(false)); // NOLINTNEXTLINE opt<bool> skip_resize( "skip-resize", llvm::cl::desc( "Skip converting tf.ResizeBilinear and tf.ResizeNearestNeighbor ops."), llvm::cl::Optional, llvm::cl::init(true)); // NOLINTNEXTLINE opt<bool> smuggle_disallowed_ops( "smuggle-disallowed-ops",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 18:16:49 UTC 2024 - 14.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/mlrt/while_to_map_fn.mlir
%outputs_18 = "tf.ExpandDims"(%outputs_16, %outputs_0) {device = ""} : (tensor<?x?x3xui8>, tensor<i32>) -> tensor<1x?x?x3xui8> %outputs_20 = "tf.ResizeBilinear"(%outputs_18, %outputs) {align_corners = false, device = "", half_pixel_centers = false} : (tensor<1x?x?x3xui8>, tensor<2xi32>) -> tensor<1x224x224x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 23 06:40:22 UTC 2024 - 68.6K bytes - Viewed (0) -
tensorflow/compiler/jit/compilability_check_util.cc
// b/135640736: MatrixInverse performance issues. // b/111271662: MatrixSolve performance issues. // https://github.com/tensorflow/tensorflow/pull/31012: // ResizeNearestNeighbor, ResizeBilinear, and ResizeBilinearGrad sometimes // create convolutions too large for CuDNN to handle. return node.type_string() == "SelfAdjointEigV2" || node.type_string() == "Svd" || node.type_string() == "Qr" ||
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 12 06:33:33 UTC 2024 - 30.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema_generated.h
"LOCAL_RESPONSE_NORMALIZATION", "LOGISTIC", "LSH_PROJECTION", "LSTM", "MAX_POOL_2D", "MUL", "RELU", "RELU_N1_TO_1", "RELU6", "RESHAPE", "RESIZE_BILINEAR", "RNN", "SOFTMAX", "SPACE_TO_DEPTH", "SVDF", "TANH", "CONCAT_EMBEDDINGS", "SKIP_GRAM", "CALL", "CUSTOM", "EMBEDDING_LOOKUP_SPARSE",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 1M bytes - Viewed (0) -
tensorflow/compiler/jit/mark_for_compilation_pass.cc
"RGBToHSV", "RandomShuffle", "RandomStandardNormal", "RandomUniform", "RandomUniformInt", "ReadVariableOp", "ReadVariableXlaSplitND", "ResizeBilinear", "ResizeBilinearGrad", "ResizeNearestNeighbor", "ResourceApplyAdaMax", "ResourceApplyAdadelta", "ResourceApplyAdagrad", "ResourceApplyAdagradDA",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 12:19:41 UTC 2024 - 85.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
// CHECK-DAG: %[[SIZE:.*]] = "tf.Const"() <{value = dense<[56, 904]> : tensor<2xi32>}> : () -> tensor<2xi32> // CHECK: %[[VAL_2:.*]] = "tf.ResizeBilinear"(%[[VAL_0]], %[[SIZE]]) <{align_corners = true, half_pixel_centers = false}> : (tensor<1x56x624x16xf32>, tensor<2xi32>) -> tensor<1x56x904x16xf32> // CHECK: return %[[VAL_2]] : tensor<1x56x904x16xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
OpBuilder<(ins "Value":$tensor, "Value":$shape)> ]; let hasVerifier = 1; let hasCanonicalizer = 1; let hasFolder = 1; } def TF_ResizeBilinearOp : TF_Op<"ResizeBilinear", [Pure]> { let summary = "Resize `images` to `size` using bilinear interpolation."; let description = [{ Input images can be of different types but output images are always float. }];
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0)