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tensorflow/compiler/mlir/lite/stablehlo/transforms/op_stat_pass.cc
// Compute the operation statistics for the currently visited operation. total_ops_ = 0; getOperation()->walk([&](Operation *op) { auto op_with_dialect_name = op->getName().getStringRef(); auto op_name = op->getName().stripDialect(); auto dialect_name = op->getDialect()->getNamespace(); if (op->getNumResults() > 0 && isa<ShapedType>(op->getResult(0).getType())) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 8.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema_generated.h
auto window_strides__ = window_strides ? _fbb.CreateVector<int64_t>(*window_strides) : 0; auto padding__ = padding ? _fbb.CreateVector<int64_t>(*padding) : 0; auto lhs_dilation__ = lhs_dilation ? _fbb.CreateVector<int64_t>(*lhs_dilation) : 0; auto rhs_dilation__ = rhs_dilation ? _fbb.CreateVector<int64_t>(*rhs_dilation) : 0;
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/lite/stablehlo/transforms/tfl_stablehlo_pass.cc
llvm::SmallVector<mlir::NamedAttribute, 4> attrs; const auto& keys = m.Keys(); for (size_t i = 0; i < keys.size(); ++i) { const auto key = keys[i].AsKey(); const auto& value = m[key]; switch (value.GetType()) { case flexbuffers::FBT_INT: { auto attr = value.AsInt64(); auto named_attr = builder->getNamedAttr(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jan 24 06:08:43 UTC 2024 - 10.8K bytes - Viewed (0) -
docs/metrics/prometheus/grafana/minio-dashboard.json
"colorMode": "value", "graphMode": "none", "justifyMode": "auto", "orientation": "auto", "reduceOptions": { "calcs": [ "mean" ], "fields": "", "values": false }, "showPercentChange": false, "text": {}, "textMode": "auto", "wideLayout": true }, "pluginVersion": "10.4.0",
Registered: Sun Jun 16 00:44:34 UTC 2024 - Last Modified: Mon Apr 15 10:03:01 UTC 2024 - 93K bytes - Viewed (0) -
tensorflow/compiler/jit/rearrange_function_argument_pass_test.cc
Output arg1 = ops::_Arg(s.WithOpName("arg1"), DT_BOOL, 1); NameAttrList f; f.set_name("f1"); auto if_op = ops::If(s.WithOpName("if"), arg1, std::initializer_list<Input>{arg0, arg1}, {DT_BOOL, DT_RESOURCE}, f, f); auto ret0 = ops::_Retval(s.WithOpName("ret0"), if_op.output[0], 0); auto ret1 = ops::_Retval(s.WithOpName("ret1"), if_op.output[1], 1); NameAttrList cond_fn, body_fn;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Feb 09 11:36:41 UTC 2024 - 10.5K bytes - Viewed (0) -
tensorflow/cc/training/queue_runner_test.cc
} GraphDef BuildDoubleQueueGraph() { Scope root = Scope::NewRootScope(); auto q0 = FIFOQueue(root.WithOpName(kQueueName0), {DataType::DT_INT32}); auto ten = Const(root, 10); auto enqueue0 = QueueEnqueue(root.WithOpName(kEnqueueOp0), q0, {ten}); auto close0 = QueueClose(root.WithOpName(kCloseOp0), q0); auto cancel0 = QueueClose(root.WithOpName(kCancelOp0), q0,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Sep 21 06:27:51 UTC 2019 - 14.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_tf.cc
auto elem_type = filter_type.getElementType(); auto bias_dim = static_cast<const ConcreteType *>(this)->getBiasDim( filter_type.getShape()); auto bias_type = tensorflow::GetTypeFromTFTensorShape({bias_dim}, elem_type); auto bias_attr = rewriter.getZeroAttr(bias_type); auto bias =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 21:49:50 UTC 2024 - 64.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/transforms/fold_constants_to_subgraph.cc
return false; if (auto arith_const_op = dyn_cast_or_null<arith::ConstantOp>(op)) { // arith ConstOp path. auto type = mlir::cast<ShapedType>(arith_const_op.getType()).getElementType(); if (!type.isInteger(32) && !type.isInteger(64)) return false; } else if (auto const_op = dyn_cast_or_null<TFL::ConstOp>(op)) { // ConstOp path.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 6.1K bytes - Viewed (0) -
tensorflow/c/ops.cc
TF_ShapeHandle* result, TF_Status* status) { \ auto* cc_ctx = reinterpret_cast<InferenceContext*>(ctx); \ auto* cc_handle = reinterpret_cast<ShapeHandle*>(handle); \ auto* cc_result = reinterpret_cast<ShapeHandle*>(result); \ Status s = cc_ctx->func_name(*cc_handle, rank, cc_result); \
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 28 22:41:35 UTC 2022 - 10.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/replicate_to_island.cc
if (!devices.has_value()) { return op->emitOpError() << "devices attribute is not present in 'tf.device.replicate' op"; } auto logical_core_name = tensorflow::GetDeviceAliasForLogicalCore(logical_core); auto tpu_replica = devices.value().get(logical_core_name); if (!tpu_replica) { return op->emitOpError() << "requires device ordinal from device " << logical_core_name
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Jul 24 21:01:40 UTC 2023 - 16.9K bytes - Viewed (0)