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Results 1 - 8 of 8 for _output_shapes (0.62 sec)
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tensorflow/compiler/mlir/tensorflow/transforms/tf_data_optimization.td
def FuseMapAndBatch : Pat< (TF_BatchDatasetV2Op (TF_MapDatasetOp $input_dataset, $other_arguments, $f, $output_types, $output_shapes, $use_inter_op_parallelism, $preserve_cardinality, $force_synchronous, $map_dataset_metadata), $batch_size, $drop_remainder, $parallel_copy, $batch_output_types,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 1.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/decompose_optionals.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 4.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/shape_inference.cc
} auto output_shape = xla::ShapeInference::InferGatherShape( input_shape, start_indices_shape, gather_dim_numbers, slice_sizes); if (!output_shape.ok()) { op->emitError() << output_shape.status().message(); return false; } auto refined_type = xla::ConvertShapeToType<RankedTensorType>( *output_shape, mlir::Builder(op)); if (!refined_type.ok()) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Jun 08 07:28:49 UTC 2024 - 134.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/lower_static_tensor_list.cc
auto new_shape = rewriter.create<TF::ShapeOp>(loc, shape_type, input); SmallVector<int64_t, 8> output_shape(/*Size=*/1, op.getNumElements()); for (const auto &dim : dense_elem_attr.getValues<APInt>()) output_shape.push_back(dim.getSExtValue()); RankedTensorType result_type = tensorflow::GetTypeFromTFTensorShape( output_shape, getElementTypeOrSelf(input)); rewriter.replaceOpWithNewOp<TF::ReshapeOp>(op, result_type, input,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 70.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
let summary = "A container for an iterator resource."; let arguments = (ins ConfinedAttr<TypeArrayAttr, [ArrayMinCount<1>]>:$output_types, ConfinedAttr<TF_ShapeAttrArray, [ArrayMinCount<1>]>:$output_shapes ); let results = (outs Res<TF_ResourceTensor, [{A handle to the iterator that can be passed to a "MakeIterator" or "IteratorGetNext" op. In contrast to Iterator, AnonymousIterator prevents
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/tf2xla/transforms/legalize_tf.cc
// Shape of the final output. (Except for dimension folding in the // single diagonal case.) Shape output_shape; for (int i = 0; i < num_dims - 2; i++) { output_shape.push_back(input_type.getDimSize(i)); } output_shape.push_back(num_diags); output_shape.push_back(max_diag_len); // A slice is the shape of what GatherOp copies per lookup. So the last
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/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) -
RELEASE.md
all the TensorFlow OPs included in each of the `TRTEngineOp`s. * `tf.tpu.experimental.embedding`: * `tf.tpu.experimental.embedding.FeatureConfig` now takes an additional argument `output_shape` which can specify the shape of the output activation for the feature. * `tf.tpu.experimental.embedding.TPUEmbedding` now has the same behavior
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)