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Results 11 - 20 of 52 for isU32 (0.04 sec)
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src/unicode/letter.go
return range_.Stride == 1 || (r-range_.Lo)%range_.Stride == 0 } if r < range_.Lo { hi = m } else { lo = m + 1 } } return false } // is32 reports whether r is in the sorted slice of 32-bit ranges. func is32(ranges []Range32, r uint32) bool { if len(ranges) <= linearMax { for i := range ranges { range_ := &ranges[i] if r < range_.Lo { return false }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Nov 06 20:02:46 UTC 2023 - 10K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/rewrite_util.h
return DenseElementsAttr::get(scalar_ty, attr); } else if (auto complex_ty = mlir::dyn_cast<ComplexType>(ty)) { Type complex_element_ty = complex_ty.getElementType(); if (complex_element_ty.isF32()) { return DenseElementsAttr::get( scalar_ty, static_cast<std::complex<float>>(raw_value)); } else if (complex_element_ty.isF64()) { return DenseElementsAttr::get(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 22 19:47:48 UTC 2024 - 4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/quantization_patterns.h
if (auto dq_op = dyn_cast_or_null<DequantizeOpT>(operand.getDefiningOp())) { inputs.push_back(dq_op.getOperand()); } else if (!ele_type.isF32()) { // If the operand is an integer tensor, then it doesn't require the // DequantizeOp in the pattern. inputs.push_back(operand); } else if (weight_only_quantizable) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 10.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/common/utils.h
// Returns true if it is a shaped type of f32 elements. inline bool IsF32ShapedType(Type t) { if (auto shaped_type = mlir::dyn_cast_or_null<ShapedType>(t)) { return shaped_type.getElementType().isF32(); } return false; } // Return true when the given element_type is QI8. inline bool IsQI8Type(Type t) { auto quantized_type = quant::QuantizedType::getQuantizedElementType(t);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 3.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/while_loop_outline.cc
} bool IsCompatibleTypeWithTFLCastOp(Type type) { auto elemType = getElementTypeOrSelf(type); // F16, F32, F64, BF16 types are allowed. if (elemType.isBF16() || elemType.isF16() || elemType.isF32() || elemType.isF64()) return true; // I1, I4, I8, I16, I32, I64 types are allowed. if (elemType.isInteger(1) || elemType.isInteger(4) || elemType.isInteger(8) ||
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 11.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/optimize.td
Constraint<CPred<"TFL::IsBroadcastableElementsAttrs($0, $1) && TFL::IsDimensionsDegenerateExceptLastOne($1)">>; def F32ElementsAttr : ElementsAttrBase< CPred<"$_self.cast<ElementsAttr>().getShapedType().getElementType().isF32()">, "float constant tensor">; def DefinedByConv2D : Constraint<CPred<"llvm::isa_and_nonnull<mlir::TF::Conv2DOp>($0.getDefiningOp())">>; // Checks if the value has only one user. def HasOneUse : Constraint<CPred<"$0.hasOneUse()">>;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 22 07:31:23 UTC 2023 - 5.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/unfold_large_splat_constant.cc
mlir::dyn_cast<SplatElementsAttr>(const_op.getValue()); if (!splat_elements_attr) { return; } auto element_type = splat_elements_attr.getType().getElementType(); if (!(element_type.isF32() || element_type.isF16() || element_type.isInteger(1) || element_type.isInteger(32) || element_type.isInteger(64))) { return; } if (splat_elements_attr.getNumElements() *
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 4.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/dense_to_sparse.cc
std::vector<int> b_size = {}; std::vector<int> b_map = {}; PopulateEncodingParams(block_size, &traversal_order, &format, &b_map, &b_size); if (type.getElementType().isF32()) { tflite::internal::sparsity::FormatConverter<float> format_converter( shape, traversal_order, format, b_size, b_map); std::vector<float> data; data.reserve(type.getNumElements());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 16.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/fused_kernel_matcher.cc
<< ")"; }); return false; } // Verify the data type is supported. Type element_ty = getElementTypeOrSelf(conv.getType()); if (!element_ty.isF32() && !element_ty.isF64()) { (void)rewriter.notifyMatchFailure(conv, [&](Diagnostic &diag) { diag << "supported data types for _FusedConv2D are float and double, " << " but got " << element_ty;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 14.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/validators.h
// is "DT_FLOAT". inline bool TFTypeIsFloat32Tensor(Value value) { auto tensorType = mlir::dyn_cast<TensorType>(value.getType()); if (!tensorType) return false; return tensorType.getElementType().isF32(); } // Returns true iff the given value is a bf16 tensor. inline bool TFTypeIsBFloat16Tensor(Value value) { auto tensorType = mlir::dyn_cast<TensorType>(value.getType()); if (!tensorType) return false;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 4.7K bytes - Viewed (0)