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platforms/documentation/docs/src/docs/userguide/img/component-model-gradle.png
component-model-gradle.png...
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Fri Mar 15 04:41:24 UTC 2024 - 99.3K bytes - Viewed (0) -
src/html/entity.go
"minusdu;": '\U00002A2A', "mlcp;": '\U00002ADB', "mldr;": '\U00002026', "mnplus;": '\U00002213', "models;": '\U000022A7', "mopf;": '\U0001D55E', "mp;": '\U00002213', "mscr;": '\U0001D4C2',
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Jul 31 22:10:54 UTC 2018 - 114.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize.cc
// Match Add. DenseElementsAttr added_value; Value constant_val = add_op.getRhs(); if (!matchPattern(constant_val, m_Constant(&added_value))) { // The constant may be preceded by QDQs in models with QDQ format, so we // should set it to the real constant. auto dq = dyn_cast_or_null<DequantizeOp>(constant_val.getDefiningOp()); if (!dq) return failure();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 00:40:15 UTC 2024 - 102.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops_n_z.cc
<< padding.getShapedType().getShape(); } } auto module = op->getParentOfType<mlir::ModuleOp>(); auto func = dyn_cast_or_null<mlir::func::FuncOp>( SymbolTable::lookupSymbolIn(module, op.getComputation())); if (!func) { return op.emitOpError() << "has no reduction function specified"; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 170.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/canonicalize.mlir
// %pack = tf.Pack(dim0, ...) { axis = 0 } // [? x ...] // // Where `...` are some statically known dimensions. In this case %pack can be // replace with a %shape. This is a common pattern in models with a dynamic // batch size. // Test Rank 2 // CHECK: %[[SHAPE0:.*]] = "tf.Shape" %3 = "tf.Shape"(%arg0) : (tensor<?x1xf32>) -> tensor<2xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 132.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
this will happen in one of the last steps before emitting the flatbuffer model in order to enable optimizations that rely on a fixed order of operations (such as rematerialization.) The flatbuffer exporter will unwrap the wrapped region and annotate the generated model with metadata such that any runtime reorderings will respect the order given by the control dependencies. }];
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0)