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Results 51 - 53 of 53 for qtype_attr (0.19 sec)
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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/compiler/mlir/lite/flatbuffer_export.cc
// Const op can have a result of dynamic shaped type (e.g. due to constant // folding), but we can still derive the shape of a constant tensor for // its attribute type. auto tensor_attr = mlir::cast<mlir::TypedAttr>(inst->getAttr("value")); llvm::ArrayRef<int64_t> shape_ref = mlir::cast<TensorType>(tensor_attr.getType()).getShape(); if (mlir::failed(check_shape(shape_ref))) return std::nullopt;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:41:49 UTC 2024 - 164.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
TypeAttr:$key_dtype, TypeAttr:$value_dtype ); let results = (outs Res<TF_ResourceTensor, [{Handle to a table.}], [TF_LookupTableAlloc]>:$table_handle ); let builders = [ OpBuilder<(ins "StringAttr":$container, "StringAttr":$shared_name, "BoolAttr":$use_node_name_sharing, "TypeAttr":$key_dtype, "TypeAttr":$value_dtype), [{
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0)