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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) -
tensorflow/compiler/mlir/tensorflow/tests/resource_op_lifting.mlir
%1 = "tf_device.cluster"() ({ %2 = "tf.ReadVariableOp"(%0) {dtype = i32} : (tensor<*x!tf_type.resource<tensor<*xi32>>>) -> tensor<1xi32> %3 = "tf.SomeComputation"(%2) : (tensor<1xi32>) -> (tensor<*xi32>) "tf.AssignVariableOp"(%0, %3) {dtype = i32} : (tensor<*x!tf_type.resource<tensor<*xi32>>>, tensor<*xi32>) -> () %4 = "tf.ReadVariableOp"(%0) {dtype = i32} : (tensor<*x!tf_type.resource<tensor<*xi32>>>) -> tensor<1xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 74K bytes - Viewed (0) -
src/runtime/mbitmap.go
// Allocate space to unroll the gcprog. This space will consist of // a dummy _type value and the unrolled gcprog. The dummy _type will // refer to the bitmap, and the mspan will refer to the dummy _type. if span.spanclass.sizeclass() != 0 { throw("GCProg for type that isn't large") } spaceNeeded := alignUp(unsafe.Sizeof(_type{}), goarch.PtrSize) heapBitsOff := spaceNeeded
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 00:18:55 UTC 2024 - 60K 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/c/eager/c_api_test.cc
name_and_attrs.attr().find("dtype")->second.type()); TF_DeleteBuffer(serialized_attr_values); TFE_Op* var_op_2 = TFE_NewOp(ctx, "VarHandleOp", status); string serialized_dtype; ASSERT_TRUE(name_and_attrs.attr().find("dtype")->second.SerializeToString( &serialized_dtype)); TFE_OpSetAttrValueProto( var_op_2, "dtype",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Aug 03 20:50:20 UTC 2023 - 94.6K 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) -
pkg/apis/batch/validation/validation.go
for _, cType := range []batch.JobConditionType{batch.JobFailed, batch.JobComplete, batch.JobFailureTarget} { if IsConditionTrue(oldJob.Status.Conditions, cType) && !IsConditionTrue(job.Status.Conditions, cType) { allErrs = append(allErrs, field.Invalid(statusFld.Child("conditions"), field.OmitValueType{}, fmt.Sprintf("cannot disable the terminal %s=True condition", string(cType)))) } } }
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Fri Mar 08 16:43:24 UTC 2024 - 51.2K bytes - Viewed (0)