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tensorflow/compiler/mlir/lite/tests/quantize-dynamic-range-float16.mlir
// CHECK-SAME: %arg0, // CHECK-SAME: %[[DQ_1]], %[[DQ_2]], %[[DQ_3]], %[[DQ_4]], // CHECK-SAME: %[[DQ_5]], %[[DQ_6]], %[[DQ_7]], %[[DQ_8]], // CHECK-SAME: %[[NONE]], %[[NONE]], %[[NONE]], // CHECK-SAME: %[[DQ_9]], %[[DQ_10]], %[[DQ_9]], %[[DQ_9]], // CHECK-SAME: %[[NONE]], %[[NONE]], // CHECK-SAME: %[[DQ_11]], %[[DQ_12]], // CHECK-SAME: %[[NONE]], %[[NONE]], %[[NONE]], %[[NONE]]) <{
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 4.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/preprocess_op_weight_only.mlir
// PerChannel-SAME: %arg0: tensor<1x3x4x3xf32>, // PerChannel-SAME: %arg1: tensor<2x3x3x2xf32>) // PerChannel-LABEL: func private @composite_depthwise_conv2d_fn_0( // PerChannel-SAME: %arg0: tensor<1x3x4x3xf32>,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 4.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/convert_launch_func_to_tf_call.mlir
// CHECK-SAME: f = @_func // CHECK-SAME: device = "/device:test_device:0" %3 = "tf_device.launch_func"(%2) {device = "/device:test_device:0", func = @_func} : (tensor<?xf32>) -> tensor<?xf32> // CHECK: %[[CALL_OUTPUT_1:[0-9]*]] = "tf.PartitionedCall"(%[[CALL_OUTPUT_0]]) // CHECK-SAME: f = @_func // CHECK-SAME: device = "/device:test_device:1"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 2.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/batch_function_lowering.mlir
// CHECK-SAME: Tin = [f32] // CHECK-SAME: Tout = [f32] // CHECK-SAME: allowed_batch_sizes = [6] // CHECK-SAME: batch_timeout_micros = 100000 : i64 // CHECK-SAME: batching_queue = "" // CHECK-SAME: container = "" // CHECK-SAME: enable_large_batch_splitting = false // CHECK-SAME: max_batch_size = 6 : i64 // CHECK-SAME: max_enqueued_batches = 10 : i64
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 00:18:59 UTC 2024 - 2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model/hash_table_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"() # CHECK: "tf_saved_model.session_initializer"() <{initializers = [@[[init:.*]]]}> : () -> () # CHECK: func @[[init]] # CHECK-SAME: tf_saved_model.initializer_type = "init_op" # CHECK-NEXT: [[R6:%.*]] = "tf.Const"()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 31 08:49:35 UTC 2023 - 3.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/restore_function_name.mlir
// CHECK: %[[CALL:.+]] = "tf.XlaCallModule"(%[[ARG0]], %[[ARG1]]) // CHECK-SAME: _entry_function = @composite_dot_general_fn_1 // CHECK-SAME: _original_entry_function = "composite_dot_general_fn_1" // CHECK: return %[[CALL]] } // CHECK: @composite_dot_general_fn_1 // CHECK-SAME: %[[ARG2:[^:[:space:]]+]] // CHECK-SAME: %[[ARG3:[^:[:space:]]+]]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 08 22:40:14 UTC 2024 - 3.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/prepare_quantize/prepare_quantize.mlir
// CHECK-SAME: quant.uniform<i8:f32, 0.023529411764705882:-128> // CHECK: %[[dq2:.*]] = "quantfork.dcast"(%[[q2]]) // CHECK-SAME: quant.uniform<i8:f32, 0.023529411764705882:-128> // CHECK: %[[q3:.*]] = "quantfork.qcast"(%[[cst3]]) // CHECK-SAME: quant.uniform<i8:f32, 3.9215686274509805E-9> // CHECK: %[[dq3:.*]] = "quantfork.dcast"(%[[q3]]) // CHECK-SAME: quant.uniform<i8:f32, 3.9215686274509805E-9>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 19:52:06 UTC 2024 - 8.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_layout_assignment_to_nhwc.mlir
// CHECK: %[[CONV2D:[0-9]*]] = "tf.Conv2D"(%[[ARG_TRANSPOSE]], %arg1) // CHECK-SAME: data_format = "NHWC" // CHECK-SAME: dilations = [1, 3, 4, 2] // CHECK-SAME: explicit_paddings = [1, 2, 5, 6, 7, 8, 3, 4] // CHECK-SAME: padding = "EXPLICIT" // CHECK-SAME: strides = [5, 7, 8, 6] // CHECK-SAME: (tensor<1x32x32x3xf32>, tensor<1x1x3x8xf32>) -> tensor<1x7x6x8xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 4.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/preprocess_op.mlir
// CHECK-LABEL: func private @composite_depthwise_conv2d_fn( // CHECK-SAME: %arg0: tensor<1x3x4x3xf32>, // CHECK-SAME: %arg1: tensor<2x3x3x2xf32>) // CHECK-LABEL: func private @composite_depthwise_conv2d_fn_0( // CHECK-SAME: %arg0: tensor<1x3x4x3xf32>, // CHECK-SAME: %arg1: tensor<2x3x1x6xf32>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_update_embedding_enqueue_op_inputs.mlir
// CHECK-SAME: %[[ARG_0:[a-z0-9]*]]: tensor<?x2xi32> // CHECK-SAME: %[[ARG_1:[a-z0-9]*]]: tensor<?x2xi32> // CHECK-SAME: %[[ARG_2:[a-z0-9]*]]: tensor<?x2xi32> // CHECK-SAME: %[[ARG_3:[a-z0-9]*]]: tensor<?xi32> // CHECK-SAME: %[[ARG_4:[a-z0-9]*]]: tensor<?xi32> // CHECK-SAME: %[[ARG_5:[a-z0-9]*]]: tensor<?xi32> // CHECK-SAME: %[[ARG_6:[a-z0-9]*]]: tensor<!tf_type.string> // CHECK-SAME: %[[ARG_7:[a-z0-9]*]]: tensor<!tf_type.string>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 5.3K bytes - Viewed (0)