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tensorflow/compiler/mlir/lite/tests/prepare-quantize-post-training.mlir
// CHECK: %[[lstm:.*]] = "tfl.unidirectional_sequence_lstm"(%[[input_0]], %[[input_1]], %[[input_2]], %[[input_3]], %[[input_4]], %[[input_5]], %[[input_6]], %[[input_7]], %[[input_8]], // CHECK-SAME: %[[input_9]], %[[input_10]], %[[input_11]], %[[input_12]], %[[input_13]], %[[input_14]], %[[input_15]], %[[input_16]], %[[input_17]], %[[input_18]], %[[input_19]]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 52.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-post-training-16bits.mlir
// CHECK-SAME: %[[input_0]], // CHECK-SAME: %[[input_1]], %[[input_2]], %[[input_3]], %[[input_4]], // CHECK-SAME: %[[input_5]], %[[input_6]], %[[input_7]], %[[input_8]], // CHECK-SAME: %[[input_9]], %[[input_9]], %[[input_9]], // CHECK-SAME: %[[input_10]], %[[input_11]], %[[input_12]], %[[input_13]], // CHECK-SAME: %[[input_9]], %[[input_9]], // CHECK-SAME: %[[input_14]], %[[input_15]],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 26.1K bytes - Viewed (0) -
tensorflow/c/experimental/saved_model/internal/saved_model_api_test.cc
std::vector<TFE_TensorHandle*> compute_fn_inputs; TFE_TensorHandle* input_a = TestScalarTensorHandle(ctx, 2.0f); TFE_TensorHandle* input_b = TestScalarTensorHandle(ctx, 1.0f); compute_fn_inputs.push_back(input_a); compute_fn_inputs.push_back(input_b); TFE_Op* compute_fn_op = TF_ConcreteFunctionMakeCallOp(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 23 08:08:45 UTC 2024 - 21.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/lstm_utils.cc
// TFL lstm only supports time-majored inputs, so if it's not time-majored, // we will transpose the inputs and outputs. auto time_major_attr = func_op->getAttrOfType<BoolAttr>("tf.time_major"); if (time_major_attr == nullptr) return failure(); bool time_majored = time_major_attr.getValue(); auto input_type = mlir::dyn_cast_or_null<RankedTensorType>(input.getType()); if (!input_type) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 36.2K bytes - Viewed (0) -
tensorflow/c/c_api.cc
void TF_AddInput(TF_OperationDescription* desc, TF_Output input) { desc->node_builder.Input(&input.oper->node, input.index); } void TF_AddInputList(TF_OperationDescription* desc, const TF_Output* inputs, int num_inputs) { std::vector<NodeBuilder::NodeOut> input_list; input_list.reserve(num_inputs); for (int i = 0; i < num_inputs; ++i) { input_list.emplace_back(&inputs[i].oper->node, inputs[i].index); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 15 03:35:10 UTC 2024 - 102.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/control_flow.mlir
} // CHECK-LABEL: func @tensor_array_while_test // CHECK-SAME: ([[in_chain:%.*]]: !tfrt.chain func.func @tensor_array_while_test(%indices: tensor<?xi32>, %input_0: tensor<?x?x?xf32>, %input_1: tensor<?x?x?xf32>) -> (tensor<?x?x512xf32>, tensor<?x?x512xf32>) { %index = "tf.Const"() {device = "/device:CPU:0", value = dense<0> : tensor<i32>} : () -> (tensor<i32>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 00:40:32 UTC 2024 - 17.5K bytes - Viewed (0) -
tensorflow/cc/framework/ops.h
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 13 05:57:22 UTC 2024 - 10.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/composite_avg_pool_patterns.td
(MHLO_CompositeOp:$old_val (variadic $a_input), ConstantStrAttr<StrAttr, "aten.avg_pool2d.default">, $attrs, $_, $_), (TFL_TransposeOp (TFL_AveragePool2DOp /*input*/ (TFL_TransposeOp $a_input, (Arith_ConstantOp
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 23:16:05 UTC 2024 - 7.8K bytes - Viewed (0) -
tensorflow/cc/framework/gradients.cc
return errors::InvalidArgument( "Must specify a gradient input for each output."); } std::vector<bool> reachable_nodes = GetReachableNodes(); for (const Output& input : inputs_) { if (!reachable_nodes[input.node()->id()]) { return errors::InvalidArgument( "Cannot compute the partial derivative for node '", input.node()->name(), "' as it's unreachable from the output node(s).");
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 13 05:57:22 UTC 2024 - 22K bytes - Viewed (0) -
tensorflow/c/while_loop_test.cc
Init(2); // Create nested loop: // while (input1 < 6) { // inner_input1 = input1 // while (inner_input1 < 3) { // input2 += 1 // inner_input1 += 2 // } // input1 += input2 // } // // Expected execution with initial values input1 = input2 = 0: // // outer inner inner_ // step# step# input1 input2 input1 // ------------------------------------
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 11 06:05:56 UTC 2024 - 15.3K bytes - Viewed (0)