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tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/importer_test_min_max.cc
// FB-SAME: -8.0, -9.0, -10.0, -11.0, -12.0, -13.0, -14.0, -15.0, -16.0, // FB-SAME: -17.0, -18.0, -19.0, -20.0, -21.0, -22.0, -23.0, -24.0, -25.0, // FB-SAME: -26.0, -27.0, -28.0, -29.0, -30.0, -31.0, -32.0, -33.0, -34.0, // FB-SAME: -35.0, -36.0, -37.0, -38.0, -39.0 ], // FB-NEXT: max: [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 6.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions_xla.mlir
// CHECK: "tf.PartitionedCall" // CHECK-SAME: f = @composite_depthwise_conv2d_with_bias_and_relu6_fn_1 // Check that the `_tfl_quant_trait` attribute has been removed. // CHECK-NOT: _tfl_quant_trait = "fully_quantizable" // CHECK-LABEL: private @composite_depthwise_conv2d_with_bias_and_relu6_fn_1 // CHECK: %[[DEPTHWISECONV2D_0:.*]] = "tf.DepthwiseConv2dNative"(%arg0, %arg1)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 8.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model/basic.py
# CHECK: func {{@[a-zA-Z_0-9]+}}( # CHECK-SAME: %arg0: tensor<f32> {tf._user_specified_name = "x", tf_saved_model.index_path = [0]}, # CHECK-SAME: %arg1: tensor<!tf_type.resource<tensor<f32>>> # CHECK-SAME: %arg2: tensor<!tf_type.resource<tensor<f32>>> # CHECK-SAME: tensor<f32> {tf_saved_model.index_path = []}) # CHECK-SAME: attributes {{.*}} tf_saved_model.exported_names = ["some_function"]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 31 08:49:35 UTC 2023 - 2.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/ifrt/rewrite_cluster_to_ifrt_call.mlir
// TODO(b/316226111): the printer may not guarantee the same order of fields. Rewrite the checks to be less sensitive to proto serialization formats. // ----- // Non-SPMD: one input and one output // // CHECK-LABEL: func.func @serving_default(%arg0: tensor<1x3xf32>) -> tensor<1x3xf32> { // CHECK-NEXT: "tf.IfrtCall"(%arg0) // CHECK-SAME: {program_id = [[PROGRAM_ID:.*]] : i64, variable_arg_indices = []} // CHECK-SAME: (tensor<1x3xf32>) -> tensor<1x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Feb 17 07:28:40 UTC 2024 - 9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/insert_quantized_functions.mlir
// CHECK-SAME: tf_quant.quantized_ops = ["DepthwiseConv2D", "BiasAdd", "Relu"] // CHECK: func private @quantized_matmul_with_bias_fn // CHECK: func private @quantized_matmul_with_bias_and_relu_fn // CHECK: func private @quantized_matmul_with_bias_and_relu6_fn // CHECK: func private @quantized_matmul_fn // CHECK-SAME: tf_quant.quantized_ops = ["MatMul"]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Aug 29 01:13:58 UTC 2023 - 3.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model_initialize_variables_in_session_init.mlir
func.return %1 : tensor<100x50xf32> } // CHECK-LABEL: func @SessionInitializerFunction() // CHECK-SAME: tf_saved_model.exported_names = ["SessionInitializerFunction"] // CHECK-SAME: tf_saved_model.initializer_type = "restore_op" // CHECK: %[[VAR:.*]] = "tf.VarHandleOp" // CHECK-SAME: "var1" // CHECK: %[[CST:.*]] = arith.constant dense<> : tensor<0xf32> // CHECK: "tf.AssignVariableOp"(%[[VAR]], %[[CST]]) }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Oct 19 13:38:14 UTC 2022 - 5.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model/remove_init_variable_v1.py
# it is being invoked. # CHECK: module # CHECK-SAME: tf.versions # CHECK-SAME: bad_consumers # CHECK-SAME: min_consumer # CHECK-SAME: producer # CHECK: "tf_saved_model.global_tensor"() <{is_mutable, sym_name = "[[VAR:[a-zA-Z_0-9]+]]", type = tensor<1x3xf32>, value = {{.*}} : tensor<1x3xf32>}> : () -> () # CHECK-NOT: session_initializer # CHECK: func {{@[a-zA-Z_0-9]+}}(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 31 08:49:35 UTC 2023 - 2.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/prepare_quantize_ptq.mlir
// CHECK: %[[q2:.*]] = "quantfork.qcast"(%[[reshape]]) // CHECK-SAME: quant.uniform<i8:f32, 0.010039215461880554:-1> // CHECK: %[[dq2:.*]] = "quantfork.dcast"(%[[q2]]) // CHECK-SAME: quant.uniform<i8:f32, 0.010039215461880554:-1> // CHECK: %[[call:.*]] = "tf.PartitionedCall"(%[[dq2]] // CHECK-SAME: f = @composite_matmul_with_bias_fn_1 // CHECK: %[[q3:.*]] = "quantfork.qcast"(%[[call]]) // CHECK-SAME: quant.uniform<i8:f32, 0.015686274509803921:-1>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 01 10:21:29 UTC 2023 - 9.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composite_functions.mlir
// CHECK-SAME: f = @quantize_i8 // CHECK: %[[conv_quant:.*]] = "tf.PartitionedCall"(%[[quantize]], %[[w_quant]], %[[b_quant]], // CHECK-SAME: %[[in_scale]], %[[in_zp]], %[[w_scale]], %[[w_zp]], // CHECK-SAME: %[[b_scale]], %[[w_zp]], %[[out_scale]], %[[out_zp]]) // CHECK-SAME: f = @quantized_conv2d_with_bias_and_relu6_fn_0
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Nov 06 01:23:21 UTC 2023 - 15.2K bytes - Viewed (0)