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Results 51 - 60 of 63 for qtype_attr (0.5 sec)
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tensorflow/compiler/mlir/tensorflow/transforms/tfg-to-tfe.cc
res_types, res_attrs))) return failure(); // Update the function type which has excluded the control args. func->setAttr("function_type", TypeAttr::get(rewriter.getFunctionType( arg_types, res_types))); // Update arg/result attributes. func.setAllArgAttrs(arg_attrs); func.setAllResultAttrs(res_attrs);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 17:58:54 UTC 2024 - 21.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/prepare_quantize.cc
auto min_max = GetMinMaxValuesForArgument(func_name, i); // The input min/max or mean/std are not specified, then skip. if (!min_max.first.has_value() || !min_max.second.has_value()) return; TypeAttr params = quant::GetQuantizedTypeAttr( builder, input_type, builder.getF64FloatAttr(min_max.first.value()), builder.getF64FloatAttr(min_max.second.value()),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 17.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_quantize.cc
auto min_max = GetMinMaxValuesForArgument(func_name, i); // The input min/max or mean/std are not specified, then skip. if (!min_max.first.has_value() || !min_max.second.has_value()) return; TypeAttr params = quant::GetQuantizedTypeAttr( builder, input_type, builder.getF64FloatAttr(min_max.first.value()), builder.getF64FloatAttr(min_max.second.value()),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 17.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/shape_inference.cc
return false; } } return true; } // Returns the tensor type created from the `shape_attr` and `type_attr` // attributes. Type GetType(Attribute shape_attr, Attribute type_attr) { auto shape = mlir::cast<tf_type::ShapeAttr>(shape_attr); auto type = mlir::cast<TypeAttr>(type_attr); if (shape.hasRank()) return tensorflow::GetTypeFromTFTensorShape(shape.getShape(),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Jun 08 07:28:49 UTC 2024 - 134.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/transforms/device_transform_patterns.cc
mean_op.getAxis(), mean_op.getKeepDims()); // Insert a requant op. rewriter.replaceOpWithNewOp<TFL::QuantizeOp>( mean_op, output_type, new_mean_op, mlir::TypeAttr::get(output_type)); return success(); } } // namespace tac } // namespace TFL
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 25.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.cc
int64_t out = 0; for (int64_t outer = 0; outer < outer_size; ++outer) { for (auto op : operands) { auto typed_attr = op.cast<TypedAttr>(); const int64_t dim_size = typed_attr.getType().cast<RankedTensorType>().getDimSize(axis); const int64_t inner_size = dim_size * base_inner_size;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 169.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops_a_m.cc
// types. But we need to wrap it up with ElementsAttr to construct // valid TensorFlow constants. auto typed_attr = mlir::cast<TypedAttr>(value); type = tensorflow::GetTypeFromTFTensorShape(/*shape=*/{}, typed_attr.getType()); return ConstOp::build(builder, result, DenseElementsAttr::get(type, value)); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 146.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/flatbuffer_operator.cc
return builder.getI32IntegerAttr(value); } static mlir::Attribute BuildTypeAttr(tflite::TensorType value, mlir::Builder builder) { return mlir::TypeAttr::get(ConvertElementType(value, builder)); } static mlir::Attribute BuildTFL_AFAttr(tflite::ActivationFunctionType value, mlir::Builder builder) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 38K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test.py
type_attr = attr_value_pb2.AttrValue(type=types_pb2.DT_QINT8) if quantize: self.assertTrue( self._contains_op(output_graphdef, 'Const', 'dtype', type_attr) ) else: self.assertFalse( self._contains_op(output_graphdef, 'Const', 'dtype', type_attr) ) @parameterized.named_parameters(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 235.6K bytes - Viewed (0) -
tensorflow/cc/saved_model/testdata/chunked_saved_model/chunked_model/saved_model.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 08 21:43:11 UTC 2023 - 531.2K bytes - Viewed (0)