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Results 171 - 180 of 229 for transposes (0.67 sec)
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src/cmd/go/internal/web/api.go
package web import ( "bytes" "fmt" "io" "io/fs" "net/url" "strings" "unicode" "unicode/utf8" ) // SecurityMode specifies whether a function should make network // calls using insecure transports (eg, plain text HTTP). // The zero value is "secure". type SecurityMode int const ( SecureOnly SecurityMode = iota // Reject plain HTTP; validate HTTPS.
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Oct 25 13:00:34 UTC 2022 - 6.9K bytes - Viewed (0) -
maven-core/src/test/java/org/apache/maven/internal/aether/DefaultRepositorySystemSessionFactoryTest.java
IllegalArgumentException.class, () -> systemSessionFactory.newRepositorySession(request)); assertEquals( "Unknown resolver transport 'illegal'. Supported transports are: wagon, apache, jdk, auto", exception.getMessage()); properties.remove("maven.resolver.transport"); } @Test void versionFilteringTest() throws InvalidRepositoryException {
Registered: Wed Jun 12 09:55:16 UTC 2024 - Last Modified: Wed Mar 27 14:46:12 UTC 2024 - 19.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/prepare_lifting.cc
if (const auto adj_y = op->getAttrOfType<BoolAttr>("adj_y")) { is_supported_affine_op = !adj_y.getValue(); } } else if (llvm::isa<TF::MatMulOp>(op)) { if (const auto adj_y = op->getAttrOfType<BoolAttr>("transpose_b")) { is_supported_affine_op = !adj_y.getValue(); } } if (!is_supported_affine_op) return failure(); // Bind input, output and weight to the given values.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 17:58:54 UTC 2024 - 13.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/vhlo.mlir
// CHECK-NEXT: return %0 : tensor<2x3x2x2xi32> // CHECK-NEXT:} func.func @transpose(%arg0: tensor<2x3x2xi32>) -> tensor<2x3x2xi32> { %0 = "vhlo.transpose_v1"(%arg0) <{permutation = #vhlo.tensor_v1<dense<[2, 1, 0]> : tensor<3xi64>>}> : (tensor<2x3x2xi32>) -> tensor<2x3x2xi32> return %0 : tensor<2x3x2xi32> } // CHECK:func.func private @transpose(%arg0: tensor<2x3x2xi32>) -> tensor<2x3x2xi32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 14 19:15:40 UTC 2024 - 31.9K bytes - Viewed (1) -
tensorflow/compiler/jit/mark_for_compilation_pass.cc
// [{X, Y}, {Size, Z}], the better clustering is Size with Y because the // output of size will be a small tensor while Y is a potentially large // tensor that must be computed and possible transposed/copied before // the second cluster executes. Node* n = GetOnlyNodeIn(*to); bool is_shape_consumer_op = n && IsShapeConsumerOp(*n); if (!is_shape_consumer_op) { return false;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 12:19:41 UTC 2024 - 85.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize.mlir
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/ir/tf_ops_n_z.cc
return op.getX(); } OpFoldResult FoldCancellableTranspose(TransposeOp op) { // Operand is a TransposeOp. auto transpose = dyn_cast_or_null<TF::TransposeOp>(op.getX().getDefiningOp()); if (!transpose) return {}; // If the transpose ops are on different devices, we don't fold them. if (transpose->getBlock() != op->getBlock()) { tensorflow::DataType dtype;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 170.8K bytes - Viewed (0) -
src/log/syslog/syslog_test.go
n, err := fmt.Sscanf(out, tmpl, &month, &date, &ts, &pid) if n != 4 || err != nil { t.Errorf("Got %q, does not match template %q (%d %s)", out, tmpl, n, err) } return } // Non-UNIX domain transports. var parsedHostname, timestamp string var pid int tmpl := fmt.Sprintf("<%d>%%s %%s syslog_test[%%d]: %s\n", LOG_USER+LOG_INFO, in) n, err := fmt.Sscanf(out, tmpl, ×tamp, &parsedHostname, &pid)
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Apr 12 16:09:24 UTC 2023 - 9.6K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_tpu_device.cc
static bool tpu_use_substreams_for_cross_tpu_device_transfers_flag = true; // Given a tensor of `shape` and `type`, as what shape should it be stored on // the TPU device? This function tranposes or flattens the excessively-padded // tensors to rank 1, but leaves other tensor shapes alone. absl::StatusOr<xla::Shape> TpuShapeRepresentation( const TensorShape& shape, DataType type, bool use_fast_memory,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 22:53:47 UTC 2024 - 20.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/duplicate_shape_determining_constants.cc
CompileTimeConstantOperand<TF::TileOp, 1>, // $multiples CompileTimeConstantOperand<TF::TopKV2Op, 1>, // $k CompileTimeConstantOperand<TF::TransposeOp, 1>, // $perm CompileTimeConstantOperand<TF::TruncatedNormalOp, 0>, // $shape CompileTimeConstantOperand<TF::UnsortedSegmentMaxOp, 2>, // $num_segments
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 22 05:52:39 UTC 2024 - 17.5K bytes - Viewed (0)