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Results 11 - 20 of 22 for resize_nearest_neighbor (0.35 sec)
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tensorflow/cc/gradients/image_grad_test.cc
Output* x, Output* y) { *x = Const<T>(scope_, x_data); switch (op_type) { case RESIZE_NEAREST: *y = ResizeNearestNeighbor( scope_, *x, y_shape, ResizeNearestNeighbor::AlignCorners(align_corners)); return; case RESIZE_BILINEAR: *y = ResizeBilinear(scope_, *x, y_shape,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 15 04:08:05 UTC 2019 - 12.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
} def TFL_ResizeNearestNeighborOp : TFL_Op<"resize_nearest_neighbor", [ 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 = "ResizeNearestNeighbor 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/cc/gradients/image_grad.cc
internal::ResizeNearestNeighborGrad::AlignCorners(align_corners) .HalfPixelCenters(half_pixel_centers))); grad_outputs->push_back(NoGradient()); return scope.status(); } REGISTER_GRADIENT_OP("ResizeNearestNeighbor", ResizeNearestNeighborGradHelper); Status ResizeBilinearGradHelper(const Scope& scope, const Operation& op, const std::vector<Output>& grad_inputs,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Nov 11 00:29:23 UTC 2021 - 5.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
^bb0(%arg0: tensor<? x ? x ? x ? x !quant.uniform<u8:f32, 0.1>>, %arg1: tensor<? x i32>): %0 = "tfl.resize_nearest_neighbor"(%arg0, %arg1) { align_corners = false, half_pixel_centers = false } : (tensor<? x ? x ? x ? x !quant.uniform<u8:f32, 0.1>>, tensor<? x i32>) -> tensor<? x !quant.uniform<u8:f32, 0.1>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K 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/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" ||
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/tensorflow/tests/lower_tf.mlir
// CHECK: [[VAL5:%.+]] = "tf.GatherV2"([[VAL4]], [[VAL3]], [[VAL0]]) <{batch_dims = 0 : i64}> // CHECK: [[VAL6:%.+]] = "tf.Reshape"([[VAL5]], [[VAL1]]) // CHECK: return [[VAL6]] %resize = "tf.ResizeNearestNeighbor"(%arg0, %shape) {align_corners = false, device = "", half_pixel_centers = false} : (tensor<1x7x7x1xi32>, tensor<2xi32>) -> tensor<1x3x3x1xi32> func.return %resize: tensor<1x3x3x1xi32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 92K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema_generated.h
"LOGICAL_NOT", "UNPACK", "REDUCE_MIN", "FLOOR_DIV", "REDUCE_ANY", "SQUARE", "ZEROS_LIKE", "FILL", "FLOOR_MOD", "RANGE", "RESIZE_NEAREST_NEIGHBOR", "LEAKY_RELU", "SQUARED_DIFFERENCE", "MIRROR_PAD", "ABS", "SPLIT_V", "UNIQUE", "CEIL", "REVERSE_V2", "ADD_N", "GATHER_ND",
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/mlir/tensorflow/transforms/lower_tf.cc
Operation *op = rewriter.create(state); result = op->getResult(0); } rewriter.replaceOp(op, {result}); return success(); } }; // Lowers ResizeNearestNeighbor to an indices computations with a gather along // the combined spatial dimensions. Generating the indices along the // width/height index could be used to gather along each of W and H dimension
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 74.9K bytes - Viewed (0) -
tensorflow/compiler/jit/mark_for_compilation_pass.cc
"RandomStandardNormal", "RandomUniform", "RandomUniformInt", "ReadVariableOp", "ReadVariableXlaSplitND", "ResizeBilinear", "ResizeBilinearGrad", "ResizeNearestNeighbor", "ResourceApplyAdaMax", "ResourceApplyAdadelta", "ResourceApplyAdagrad", "ResourceApplyAdagradDA", "ResourceApplyAdagradV2", "ResourceApplyAdam",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 12:19:41 UTC 2024 - 85.3K bytes - Viewed (0)