- Sort Score
- Result 10 results
- Languages All
Results 131 - 140 of 166 for mat_mul (0.32 sec)
-
tensorflow/compiler/mlir/tfrt/tests/analysis/cost_analysis.mlir
// 262657 = 1 + 512 + 512 * 512 // expected-remark@+1 {{Cost: 262657}} %2 = "tf.MatMul"(%arg, %1) {device = "/job:localhost/replica:0/task:0/device:CPU:0", transpose_a = false, transpose_b = false} : (tensor<?x512xf32>, tensor<512x512xf32>) -> tensor<?x512xf32> // expected-remark@+1 {{Cost: 512}}
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Aug 14 15:35:49 UTC 2023 - 12.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/mlrt/while_to_map_fn.mlir
%7 = "tf.Reshape"(%6, %cst_2) {device = "/job:localhost/replica:0/task:0/device:CPU:0"} : (tensor<9xf32>, tensor<2xi32>) -> tensor<3x3xf32> %8 = "tf.MatMul"(%2, %7) {device = "/job:localhost/replica:0/task:0/device:CPU:0", transpose_a = false, transpose_b = false} : (tensor<3x3xf32>, tensor<3x3xf32>) -> tensor<3x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 23 06:40:22 UTC 2024 - 68.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/passes.h
std::unique_ptr<OperationPass<mlir::func::FuncOp>> CreateOptimizePass(); // Creates an instance of the ReplaceCastHacksWithTFXLAOpsPass, which will // replace mixed-type convolution and matmul cast hacks by XLA Conv2DOp and // MatmulOp. std::unique_ptr<OperationPass<func::FuncOp>> CreateReplaceCastHacksWithTFXLAOpsPass(); // Creates a pass that moves & merges initializer function's ops into the @main
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 12.3K bytes - Viewed (0) -
src/crypto/aes/gcm_amd64.s
JMP dataOctaLoop dataTLS: MOVOU (16*14)(pTbl), T1 MOVOU (16*15)(pTbl), T2 PXOR B0, B0 MOVQ (aut), B0 PINSRD $2, 8(aut), B0 PINSRB $12, 12(aut), B0 XORQ autLen, autLen JMP dataMul dataOctaLoop: CMPQ autLen, $128 JB startSinglesLoop SUBQ $128, autLen MOVOU (16*0)(aut), X0 MOVOU (16*1)(aut), X1 MOVOU (16*2)(aut), X2 MOVOU (16*3)(aut), X3
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Mar 04 17:29:44 UTC 2024 - 23.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/legalize_tf.cc
DECL_CONVERT_OP(Assert); DECL_CONVERT_OP(ConcatV2); DECL_CONVERT_OP(BatchMatMul); DECL_CONVERT_OP(BatchMatMulV2); DECL_CONVERT_OP(BatchMatMulV3); DECL_CONVERT_OP(MatMul); DECL_CONVERT_OP(MatrixDiagV2); DECL_CONVERT_OP(MatrixDiagV3); DECL_CONVERT_OP(Pack); DECL_CONVERT_OP(Split); DECL_CONVERT_OP(SplitV); DECL_CONVERT_OP(Unpack); DECL_CONVERT_OP(Conv3D);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 20 20:06:54 UTC 2024 - 45.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/control_flow.mlir
%x = "tf.TensorArrayReadV3"(%handle_0, %index, %flow_0) {device = "/job:localhost/replica:0/task:0/device:CPU:0"} : (tensor<2x!tf_type.resource<tensor<?x100xf32>>>, tensor<i32>, tensor<f32>) -> tensor<?x100xf32> %y = "tf.MatMul"(%x, %cst) {device = "/job:localhost/replica:0/task:0/device:CPU:0"} : (tensor<?x100xf32>, tensor<100x512xf32>) -> (tensor<?x512xf32>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 00:40:32 UTC 2024 - 17.5K bytes - Viewed (0) -
src/crypto/aes/gcm_arm64.s
VLD1.P (pTbl), [T1.B16, T2.B16] VEOR B0.B16, B0.B16, B0.B16 MOVD (aut), H0 VMOV H0, B0.D[0] MOVW 8(aut), H0 VMOV H0, B0.S[2] MOVB 12(aut), H0 VMOV H0, B0.B[12] MOVD $0, autLen B dataMul octetsLoop: CMP $128, autLen BLT startSinglesLoop SUB $128, autLen VLD1.P 32(aut), [B0.B16, B1.B16] VLD1.P 32(pTbl), [T1.B16, T2.B16] VREV64 B0.B16, B0.B16
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Mar 04 17:29:44 UTC 2024 - 21.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/lift_as_function_call.cc
// identifier is the order of that attribute in `attributes`. This map // is then used to set attributes in the quantized functions in the // QuantizeCompositeFunctionsPass. // For example, for tf.MatMul with `attributes` = {{"transpose_a", false}, // {"transpose_b", false}}, the generated attr_map is // "0:transpose_a,1:transpose_b", where 0 and 1 are the respective attribute // identifiers.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 17:58:54 UTC 2024 - 21.8K bytes - Viewed (0) -
tensorflow/compiler/jit/flags.cc
"(LRN, LRNGrad)." " BN: TF FusedBatchNorm* operations." " FUSIBLE: All TF operations that XLA can fuse (All the above). " "You can also put any TF operation name, e.g. 'FUSIBLE,MatMul'."), Flag("tf_xla_cluster_exclude_ops", &mark_for_compilation_flags->tf_xla_cluster_exclude_ops, "(experimental) " "Exclude the operations from auto-clustering. "
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 17 18:52:57 UTC 2024 - 24.5K bytes - Viewed (0) -
misc/cgo/gmp/gmp.go
y.doinit() z.doinit() C.mpz_sub(&z.i[0], &x.i[0], &y.i[0]) return z } // Mul sets z = x * y and returns z. func (z *Int) Mul(x, y *Int) *Int { x.doinit() y.doinit() z.doinit() C.mpz_mul(&z.i[0], &x.i[0], &y.i[0]) return z } // Div sets z = x / y, rounding toward zero, and returns z. func (z *Int) Div(x, y *Int) *Int { x.doinit() y.doinit() z.doinit()
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Apr 11 16:34:30 UTC 2022 - 9.5K bytes - Viewed (0)