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tensorflow/compiler/mlir/lite/quantization/ir/QuantOps.td
// // Like qcasts, a dcast is allowed to have both its operand and result // as non quantized types. This facilitates transformations and marks edges // where the computation must be carried out in the expressed type. // // Especially early in transformation, it is common to have dcasts on // all operands to ops that must operate with the expressed type (typically
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Oct 13 12:46:08 UTC 2022 - 10.2K bytes - Viewed (0) -
src/strconv/ftoaryu.go
// Now compute mant*(2^e2)*(10^q). // Is it an exact computation? // Only small positive powers of 10 are exact (5^28 has 66 bits). exact := q <= 27 && q >= 0 di, dexp2, d0 := mult64bitPow10(mant, e2, q) if dexp2 >= 0 { panic("not enough significant bits after mult64bitPow10") } // As a special case, computation might still be exact, if exponent
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Sep 09 00:28:56 UTC 2022 - 15.7K bytes - Viewed (0) -
src/cmd/internal/obj/riscv/cpu.go
// // If you modify this table, you MUST run 'go generate' to regenerate anames.go! const ( // Unprivileged ISA (Document Version 20190608-Base-Ratified) // 2.4: Integer Computational Instructions AADDI = obj.ABaseRISCV + obj.A_ARCHSPECIFIC + iota ASLTI ASLTIU AANDI AORI AXORI ASLLI ASRLI ASRAI ALUI AAUIPC AADD ASLT ASLTU AAND
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Mar 20 14:19:33 UTC 2024 - 13.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/ir/QuantOps.td
// // Like qcasts, a dcast is allowed to have both its operand and result // as non quantized types. This facilitates transformations and marks edges // where the computation must be carried out in the expressed type. // // Especially early in transformation, it is common to have dcasts on // all operands to ops that must operate with the expressed type (typically
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 09 03:10:59 UTC 2024 - 10.2K bytes - Viewed (0) -
tensorflow/compiler/jit/encapsulate_util.cc
} } else if (src_outside_compilation && !dst_outside_compilation) { // Case 1b: outside compilation to its XLA computation control edge. ReplaceAttr(e->src(), kXlaConnectedToXlaComputationAttrName, true); } else if (!src_outside_compilation && dst_outside_compilation) { // Case 1b: XLA computation to outside compilation in it control edge. ReplaceAttr(e->dst(), kXlaConnectedFromXlaComputationAttrName, true); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 12 06:33:33 UTC 2024 - 15.5K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.h
// A non-blocking version of `Execute`. After each call, `Join` must be called // before `StartExecute` is called again. Using `StartExecute` with `Join` // allows the caller to schedule computation on multiple ParallelDevices // without sequencing those operations (first call `StartExecute` on each // parallel device, then call `Join` on each; even if some of the `Join`s
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 25 15:21:13 UTC 2023 - 12.9K bytes - Viewed (0) -
guava/src/com/google/common/math/Quantiles.java
public final class Quantiles { /** Specifies the computation of a median (i.e. the 1st 2-quantile). */ public static ScaleAndIndex median() { return scale(2).index(1); } /** Specifies the computation of quartiles (i.e. 4-quantiles). */ public static Scale quartiles() { return scale(4); } /** Specifies the computation of percentiles (i.e. 100-quantiles). */
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Fri May 12 17:02:53 UTC 2023 - 29.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v1/compile_mlir_util.cc
// TODO(ycao): Support tensorlist-type output. out_desc.is_tensor_list = false; } // XLA computation always uses Tuple shape. *xla_output_shape = xla::ShapeUtil::MakeTupleShape(shapes); return absl::OkStatus(); } // Creates a vector that maps from the parameters of the XLA computation to // their original argument positions. // MLIR-based TF-Compiler bridge doesn't have constant analysis yet, thus no
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 17:24:39 UTC 2024 - 45.3K bytes - Viewed (0) -
tensorflow/compiler/jit/get_compiler_ir.cc
TF_ASSIGN_OR_RETURN(xla::ProgramShape program_shape, result.computation->GetProgramShape()); xla::HloModuleConfig config(program_shape); TF_ASSIGN_OR_RETURN( std::unique_ptr<xla::HloModule> new_module, xla::HloModule::CreateFromProto(result.computation->proto(), config)); xla::HloPrintOptions opts; if (stage == IrExportStage::HLO_NO_METADATA) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 06:59:07 UTC 2024 - 19K bytes - Viewed (0) -
tensorflow/compiler/jit/rearrange_function_argument_pass_test.cc
FunctionDef *xla_fdef = fdl.add_function(); TF_CHECK_OK(GraphToFunctionDef(*g, "f3", xla_fdef)); } FunctionLibraryDefinition fld(OpRegistry::Global(), fdl); // Build the XLA computation graph. // "arg0" (T=DT_RESOURCE), "arg1" (T=DT_INT32) // "arg0", "arg1" -> "if" (If) -> "ret0", "ret1" // "arg0", "arg1" -> "while" (While) -> "ret2", "ret3" tensorflow::Scope s = tensorflow::Scope::NewRootScope();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Feb 09 11:36:41 UTC 2024 - 10.5K bytes - Viewed (0)