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Results 51 - 60 of 76 for mat_mul (0.15 sec)
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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) -
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) -
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/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) -
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) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_sharding_identification.mlir
return %1#0, %1#1 : tensor<1x2xf32>, tensor<1x2xf32> } func.func @_func(%arg0: tensor<2x4xf32>, %arg1: tensor<4x2xf32>) -> tensor<2x2xf32> { %0 = "tf.MatMul"(%arg0, %arg1) {_XlaSharding = "\08\03\1A\02\02\01\22\02\00\01"} : (tensor<2x4xf32>, tensor<4x2xf32>) -> tensor<2x2xf32> return %0 : tensor<2x2xf32> } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Feb 20 19:07:52 UTC 2024 - 47.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/legalize_hlo.cc
auto matmul = rewriter.create<TF::BatchMatMulV3Op>( loc, RankedTensorType::get(matmul_shape, result_type.getElementType()), lhs_flattend, rhs_flattend); if (result_type.hasStaticShape()) { auto reshaped = rewriter.create<mhlo::ReshapeOp>(loc, result_type, matmul.getResult()); return reshaped.getResult(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 154.9K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test_util.cc
return op; } TFE_Op* MatMulOp(TFE_Context* ctx, TFE_TensorHandle* a, TFE_TensorHandle* b) { TF_Status* status = TF_NewStatus(); TFE_Op* op = TFE_NewOp(ctx, "MatMul", status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_OpAddInput(op, a, status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_OpAddInput(op, b, status);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 22:37:46 UTC 2024 - 23.5K bytes - Viewed (0)