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tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test_base.py
) return inputs, outputs def _create_data_generator( self, input_key: str, shape: Sequence[int], minval: float = -1.0, maxval: float = 1.0, dtype: dtypes.DType = dtypes.float32, num_examples: int = 8, ) -> repr_dataset.RepresentativeDataset: """Creates a data generator to be used as representative dataset.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 21 08:51:46 UTC 2024 - 51.2K bytes - Viewed (0) -
src/cmd/cgo/gcc.go
func (p *Package) recordTypedefs(dtype dwarf.Type, pos token.Pos) { p.recordTypedefs1(dtype, pos, map[dwarf.Type]bool{}) } func (p *Package) recordTypedefs1(dtype dwarf.Type, pos token.Pos, visited map[dwarf.Type]bool) { if dtype == nil { return } if visited[dtype] { return } visited[dtype] = true switch dt := dtype.(type) { case *dwarf.TypedefType:
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon May 20 15:50:06 UTC 2024 - 97K bytes - Viewed (0) -
tensorflow/compiler/jit/mark_for_compilation_pass_test.cc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 14 10:11:10 UTC 2024 - 79.6K bytes - Viewed (0) -
tensorflow/compiler/jit/encapsulate_subgraphs_pass.cc
absl::StrCat(src_node->name(), "_", src_slot, "_retval"), kRetValOp, NodeDebugInfo(src_node->def())); DataType dtype = src_node->output_type(src_slot); builder.Attr("T", dtype); builder.Attr("index", ret_index); builder.Input(src_image->name(), src_slot, dtype); Status s = builder.Finalize(&ret_def); if (!s.ok()) return s; TF_ASSIGN_OR_RETURN(Node * ret, graph_->AddNode(ret_def));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 08:47:20 UTC 2024 - 51K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/lower_static_tensor_list.cc
OpT op, typename OpT::Adaptor adaptor, ConversionPatternRewriter &rewriter) const override { Type dtype = op.getElementDtype(); if (!(dtype.isF16() || dtype.isF32() || dtype.isF64() || dtype.isInteger(1) || dtype.isInteger(8) || dtype.isInteger(16) || dtype.isInteger(32) || dtype.isInteger(64))) { const char *error_info = "requires element_dtype to be 1-bit/8-bit/16-bit/32-bit/64-bit "
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 70.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/decompose_resource_ops.mlir
// ALWAYS-DECOMPOSE-NOT: "tf.AssignAddVariableOp" "tf.AssignAddVariableOp"(%0, %1) {dtype = "tfdtype$DT_INT32"} : (tensor<*x!tf_type.resource<tensor<2x8xi32>>>, tensor<i32>) -> () // CHECK: tf_device.cluster "tf_device.cluster"() ({ // CHECK-NOT: "tf.AssignAddVariableOp" "tf.AssignAddVariableOp"(%0, %1) {dtype = "tfdtype$DT_INT32"} : (tensor<*x!tf_type.resource<tensor<2x8xi32>>>, tensor<i32>) -> () tf_device.return
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 22 19:47:48 UTC 2024 - 51.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops.td
shared_name: the name by which this variable is referred to. dtype and shape: attributes representing the data type and shape held in the variable. Example: resource_variable_ops.var_handle_op( dtype=dtypes.int32, shape=[8, 16], container="foo", shared_name="bar") returns a handle for a variable with name "bar" in container "foo", and the variable holds a tensor of shape [8, 16] and dtype int32. }]; let arguments = (ins
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 04:08:35 UTC 2024 - 90.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/mlrt/while_to_map_fn.mlir
// CHECK: "tf.TensorArrayV3"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 23 06:40:22 UTC 2024 - 68.6K bytes - Viewed (0) -
tensorflow/compiler/jit/mark_for_compilation_pass.cc
return false; } if (n->type_string() != "AssignAddVariableOp" && n->type_string() != "AssignSubVariableOp") { return false; } DataType dtype; if (!TryGetNodeAttr(n->def(), "dtype", &dtype) || !DataTypeIsInteger(dtype)) { return false; } Node* const_input = nullptr; for (const Edge* e : n->in_edges()) { if (!e->IsControlEdge() && e->src()->IsConstant()) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 12:19:41 UTC 2024 - 85.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/compose_uniform_quantized_type_pass.cc
LLVM_DEBUG(llvm::dbgs() << "Zero point value should be a tensor type. Got: " << zero_points_type << ".\n"); return failure(); } if (Type zero_points_element_type = zero_points_type.getElementType(); !mlir::isa<IntegerType>(zero_points_element_type)) { LLVM_DEBUG(llvm::dbgs() << "Zero point should be an integer type. Got: " << zero_points_element_type << ".\n");
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 64.6K bytes - Viewed (0)