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tensorflow/compiler/mlir/tensorflow/transforms/cluster_ops_by_policy.h
// -------------------------------------------------------------------------- // // Clustering policy specifies if the operation can be clustered (in practice it // usually means that operation can be added to a cluster that will be later // compiled) given the set of constraints on its results, and might propagate or // create new constraints on the operation operands. // // Clustering policy must make a local decision just for a single operation. It
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 03 03:47:00 UTC 2023 - 12.1K bytes - Viewed (0) -
tensorflow/c/eager/unified_api_testutil.cc
// Returning null tensors from a tf.function is not supported, so we keep // track of indices in the model's outputs are nullptr in this set. // The FunctionDef only outputs the non-null tensors. We later pad the // function op outputs to have nullptrs at the `null_indices`. absl::flat_hash_set<int> null_indices; { AbstractContextPtr func_ctx(BuildFunction(fn_name));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Feb 27 13:57:45 UTC 2024 - 5.7K bytes - Viewed (0) -
tensorflow/compiler/jit/cluster_scoping_pass.cc
// Node_Y will receive both scopes "unstage" and "stage", while Node_X receives // only scope "stage". The semantic of scope "unstage" is preserved although // scope "stage" is later appended. As a result, Node_X and Node_Y will be put // into different clusters. // // Unstage -> Node_Y (scope "unstage & stage") // | // V
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 08:47:20 UTC 2024 - 5.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/legalize_hlo_conversions/reduce.h
// Generate a Max and an ArgMax of as the mhlo op returns both while in TF // we have separate ops for them. If only one of them is used then the other // one will be garbage collected later. if (!mlir::isa<ShapedType>(operand.getType())) return failure(); auto operand_type = mlir::cast<ShapedType>(operand.getType()); if (operand_type.getElementType().isInteger(1)) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 5.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/constant_fold_utils.cc
return false; } // If any of the result types are variants, don't try to constant fold them. // This creates opaque variant constants which lose information and would // require "raising" later. for (const Type type : inst->getResultTypes()) { if (const TensorType tensor_type = mlir::dyn_cast<TensorType>(type)) { if (mlir::isa<VariantType>(tensor_type.getElementType())) { return false; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 7.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/g3doc/_includes/tf_passes.md
read/assign ops on local variables. A later resource lifting pass can further remove the local variables. This pass requires that the full shape of the tensor array can be inferred: 1) the size needs to be a constant, 2) it specifies the full element shape, or that can be inferred from a later write, and 3) all elements have the same shape. ### `-tf-tensor-device-copy`
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Aug 02 02:26:39 UTC 2023 - 96.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/remat/rematerializer.cc
for (const int itensor : operations_[ioperation].tensors) { if (const Tensor& tensor = tensors_[itensor]; tensor.first_use() == ioperation /* output */ && tensor.last_use() > peak_loc /* used later */) { max_savings += tensor.size; } } } return max_savings; } std::tuple<Rematerializer::SizeT, Rematerializer::RematSpec>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 14 20:57:44 UTC 2023 - 13.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/replace_cast_hacks_with_tf_xla_ops.cc
// with appropriate shape to match with the shape of XlaDotV2 result. // We didn't apply XlaEinsum or XlaDotV2 for this work, since it would loose // the chance for constant folding later. We could try to add some // postprocessing passes later to further optimize the graph after constant // folding. Value CreateZeroPointPartialOffsetXlaDotV2( OpBuilder &builder, Location loc, Value tensor,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 47.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/export_utils.cc
if (stateless && stateless.getValue()) *node_def->mutable_op() = "Stateless" + node_def->op(); } // Add inputs to the NodeDef based on the number of operands. This is required // as later when edges are added to the Node using Graph::AddEdge the // associated NodeDef is not updated. for (int i = 0, e = inst->getNumOperands(); i < e; ++i) { node_def->add_input(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 17:58:54 UTC 2024 - 19.7K bytes - Viewed (0) -
tensorflow/c/kernels_experimental.cc
// because a race condition can happen between this and another thread that // turns off some variable's `copy_on_read_mode` after this thread enables // sparse access; when a later function sees `copy_on_read_mode` is off, it // will try to lock the variable again for updating `copy_on_read_mode` and // cause the deadlock, since the variable mutex is non-re-entrant. for (auto* var : vars) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 23 06:12:29 UTC 2024 - 30.9K bytes - Viewed (0)