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Results 1 - 3 of 3 for _output_shapes (0.26 sec)
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tensorflow/compiler/mlir/tensorflow/transforms/shape_inference.cc
} auto output_shape = xla::ShapeInference::InferGatherShape( input_shape, start_indices_shape, gather_dim_numbers, slice_sizes); if (!output_shape.ok()) { op->emitError() << output_shape.status().message(); return false; } auto refined_type = xla::ConvertShapeToType<RankedTensorType>( *output_shape, mlir::Builder(op)); if (!refined_type.ok()) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Jun 08 07:28:49 UTC 2024 - 134.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.td
%arg1: tensor<i64> ) { %1 = "tf.ReduceDataset"(%arg0, %arg1) { Targuments = [], Tstate = [i64], device = "", f = @__reduce_func_1, f._tf_data_function = true, output_shapes = [#tf_type.shape<>], output_types = [i64], use_inter_op_parallelism = true, _xla_compile_device_type="TPU"} : (tensor<!tf_type.variant>, tensor<i64>) -> (tensor<i64>) func.return } ```
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 99.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
let summary = "Transpose convolution operator"; let description = [{ Performs transpose convolution operation on input. }]; let arguments = (ins TFL_I32Tensor:$output_shape, TFL_TensorOf<[F32, QI8, QUI8, QI16]>:$weights, TFL_TensorOf<[F32, QI8, QUI8, QI16]>:$input, TFL_TensorOfOrNone<[F32, QI32, I64]>:$bias, TFL_PaddingAttr:$padding,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0)