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tensorflow/compiler/mlir/quantization/tensorflow/tests/add_quantization_unit_loc.mlir
: (tensor<1x3x4x3xbf16>, tensor<2x3x3x2xbf16>) -> tensor<1x3x2x2xbf16> loc("Model/conv2d") %2 = "tf.Cast"(%1) {Truncate = false} : (tensor<1x3x2x2xbf16>) -> tensor<1x3x2x2xf32> %3 = "tf.IdentityN"(%2) {device = ""} : (tensor<1x3x2x2xf32>) -> tensor<1x3x2x2xf32> return %3 : tensor<1x3x2x2xf32> // CHECK: tf.Conv2D // CHECK-SAME: loc("Model/conv2d") }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 03 02:39:10 UTC 2023 - 3.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu-variable-runtime-reformatting.mlir
// CHECK-LABEL: func @main // CHECK-SAME: %[[ARG0:.*]]: tensor<*x!tf_type.resource<tensor<f32>>> {tf.device = "/device:TPU:0"}, // CHECK-SAME: %[[ARG1:.*]]: tensor<*x!tf_type.resource<tensor<f32>>> {tf.device = "/device:TPU:1"}, // CHECK-SAME: %[[ARG2:.*]]: tensor<*x!tf_type.resource<tensor<3x3x1x32xf32>>> {tf.device = "/device:TPU:0"},
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 31 08:59:10 UTC 2023 - 25.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/launch_outlining.mlir
} // CHECK: func private @[[LAUNCH]] // CHECK-SAME: (%[[LAUNCH_ARG_0:[a-z0-9]*]]: tensor<?xi32>) -> tensor<?xi32> // CHECK: %[[B_OUTPUT:[0-9]*]] = "tf.B"(%[[LAUNCH_ARG_0]]) // CHECK: return %[[B_OUTPUT]] // ----- // Tests that multiple `tf_device.launch` that depend on each other are // correctly handled. // CHECK-LABEL: func @multiple_launches // CHECK-SAME: (%[[ARG_0:[a-z0-9]*]]: tensor<?xi32>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 31 08:59:10 UTC 2023 - 4.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-post-training-16bits.mlir
// CHECK-SAME: proj_clip = 0.000000e+00 : f32, // CHECK-SAME: time_major = false}> : ( // CHECK-SAME: tensor<1x2x3xf32>, // CHECK-SAME: tensor<1x1xf32>, tensor<1x1xf32>, tensor<1x1xf32>, tensor<1x1xf32>, // CHECK-SAME: tensor<1x1xf32>, tensor<1x1xf32>, tensor<1x1xf32>, tensor<1x1xf32>, // CHECK-SAME: none, none, none, // CHECK-SAME: tensor<3xf32>, tensor<3xf32>, tensor<3xf32>, tensor<3xf32>,
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/compiler/mlir/tensorflow/tests/name_anonymous_iterators.mlir
// CHECK: "tf.Iterator" // CHECK-SAME: output_shapes{{.*}}200x28x28x1{{.*}}200x10 // CHECK-SAME: output_types = [f32, f32] // CHECK-SAME: shared_name = "_iterator1" %0 = "tf.AnonymousIteratorV3"() {output_shapes = [ #tf_type.shape<200x28x28x1>, #tf_type.shape<200x10>], output_types = [f32, f32]} : () -> tensor<!tf_type.resource> // CHECK: "tf.Iterator" // CHECK-SAME: shared_name = "_iterator2"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Oct 14 09:25:38 UTC 2022 - 1.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions_xla_selective_quantization.mlir
} } // CHECK-LABEL: func @conv2d_unmatching_unit // CHECK: "tf.PartitionedCall" // CHECK-SAME: f = @composite_conv2d_fn_1 // Check that the `_tfl_quant_trait` attribute exists since the unit is not in `unit_wise_quantization_specs`. // CHECK-SAME: _tfl_quant_trait = "fully_quantizable" // CHECK-SAME: loc(callsite("Model/conv2d@conv2d_unmatching_unit"("Conv2D") at "QuantizationUnit({{.*}})")) // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 6.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/quantize-dynamic-range.mlir
// CHECK-SAME: , asymmetric_quantize_inputs = true // CHECK: return %[[mm:.*]] // PerTensor: %[[w:.*]] = "tfl.pseudo_qconst"() <{qtype = tensor<512x12x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>>, // PerTensor: %[[mm:.*]] = "tfl.batch_matmul"(%arg0, %[[w]]) <{adj_x = false, adj_y = false // PerTensor-SAME: , asymmetric_quantize_inputs = true // PerTensor: return %[[mm:.*]] }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 23 21:09:00 UTC 2024 - 23.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/lift_quantizable_spots_as_functions_with_quantization_specs.mlir
// disabled by having `_quantization_method = "no_quantization { }"`. // DISABLE-ALL-DOT-GENERAL-SAME: _entry_function = @composite_dot_general_fn_1 // DISABLE-ALL-DOT-GENERAL-SAME: _original_entry_function // DISABLE-ALL-DOT-GENERAL-SAME: _quantization_method = "no_quantization { }" // DISABLE-ALL-DOT-GENERAL-SAME: _tfl_quant_trait = "fully_quantizable" // DISABLE-ALL-DOT-GENERAL: return %[[XLA_CALL_MODULE:.+]] : tensor<1x1x64xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 02 18:09:38 UTC 2024 - 8.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model/shared_variable_v1.py
# CHECK: func {{@[a-zA-Z_0-9]+}}( # CHECK-SAME: [[ARG0:%.*]]: tensor<3x1xf32> {tf_saved_model.index_path = ["x"]}, # CHECK-SAME: [[ARG1:%.*]]: tensor<!tf_type.resource<tensor<1x3xf32>>> {tf_saved_model.bound_input = @[[VAR]]}) # CHECK-SAME: -> (tensor<3x3xf32> {tf_saved_model.index_path = ["r"]}) # CHECK-SAME: attributes {{.*}} tf_saved_model.exported_names = ["key"]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 31 08:49:35 UTC 2023 - 2.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/prepare_quantize/prepare_quantize_int4.mlir
// CHECK-LABEL: func @dot_int4 // CHECK-SAME: (%[[ARG_0:.*]]: tensor<?x3xf32>) -> tensor<?x2xf32> func.func @dot_int4(%arg0: tensor<?x3xf32>) -> tensor<?x2xf32> { // CHECK: %[[cst:.*]] = stablehlo.constant // CHECK: %[[q1:.*]] = "quantfork.qcast"(%[[cst]]) // CHECK-SAME: quant.uniform<i8:f32, 0.0040316890267764818:127> // CHECK: %[[dq1:.*]] = "quantfork.dcast"(%[[q1]]) // CHECK-SAME: quant.uniform<i8:f32, 0.0040316890267764818:127>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 08 22:40:14 UTC 2024 - 1.7K bytes - Viewed (0)