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tensorflow/compiler/mlir/lite/tests/prepare-quantize.mlir
%4 = "tfl.minimum"(%0, %cst) : (tensor<32xf32>, tensor<32xf32>) -> tensor<32xf32> %5 = "tfl.minimum"(%1, %cst) : (tensor<32xf32>, tensor<32xf32>) -> tensor<32xf32> %6 = "tfl.minimum"(%2, %cst) : (tensor<32xf32>, tensor<32xf32>) -> tensor<32xf32> %7 = "tfl.minimum"(%3, %cst) : (tensor<32xf32>, tensor<32xf32>) -> tensor<32xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 67.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_cluster_formation.mlir
// CHECK-SAME: (%[[ARG_0:.*]]: tensor<!tf_type.resource<tensor<32xf32>>>, %[[ARG_1:.*]]: tensor<!tf_type.resource<tensor<32xf32>>>, %[[ARG_2:.*]]: tensor<!tf_type.resource<tensor<32xf32>>>, %[[ARG_3:.*]]: tensor<!tf_type.resource<tensor<32xf32>>>, %[[ARG_4:.*]]: tensor<!tf_type.resource<tensor<32xf32>>>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 22:03:30 UTC 2024 - 53.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/g3doc/_includes/tf_passes.md
%0 = tf_executor.graph { %read0, %read0_control = tf_executor.island wraps "tf.ReadVariableOp"(%arg0) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> %assign0_control = tf_executor.island(%read0_control) wraps "tf.AssignVariableOp"(%arg0, %arg1) : (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> ()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Aug 02 02:26:39 UTC 2023 - 96.4K bytes - Viewed (0) -
src/sync/atomic/atomic_test.go
new := uint64(seed+i)<<32 | uint64(seed+i)<<32>>32 old := uint64(addr.Swap(int64(new))) if old>>32 != old<<32>>32 { panic(fmt.Sprintf("SwapInt64 is not atomic: %v", old)) } } } func hammerSwapUint64(addr *uint64, count int) { seed := int(uintptr(unsafe.Pointer(&count))) for i := 0; i < count; i++ { new := uint64(seed+i)<<32 | uint64(seed+i)<<32>>32 old := SwapUint64(addr, new)
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri May 17 18:37:29 UTC 2024 - 71.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize_patterns.td
"$0.getType().cast<TensorType>().getElementType().isF32()">, "32 bit float tensor">; def I32ElementsVal : Constraint<CPred< "$0.getType().cast<TensorType>().getElementType().isInteger(32)">, "32 bit integer tensor">; def ConvertSingleElementAttrToFloatAttr : NativeCodeCall<"ConvertSingleElementAttrToFloatAttr($0)">; // Replace // (float)OneHot(index, depth, on_val, off_val, axis)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 66.4K bytes - Viewed (0) -
src/cmd/internal/obj/arm/asm5.go
a2 int8 a3 uint8 type_ uint8 size int8 param int16 flag int8 pcrelsiz uint8 scond uint8 // optional flags accepted by the instruction } type Opcross [32][2][32]uint8 const ( LFROM = 1 << 0 LTO = 1 << 1 LPOOL = 1 << 2 LPCREL = 1 << 3 ) var optab = []Optab{ /* struct Optab:
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Dec 15 20:51:01 UTC 2023 - 79.4K bytes - Viewed (0)