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tensorflow/compiler/mlir/tensorflow/tests/tpu_partitioned_op_conversion.mlir
// CHECK: [[PI_0:%.*]] = "tf.TPUPartitionedInputV2"([[ARG0]], [[ARG1]]) // CHECK-SAME: _XlaSharding = "" // CHECK-SAME: partition_dims = [] // CHECK: [[PI_1:%.*]] = "tf.TPUPartitionedInputV2"([[ARG2]], [[ARG3]]) // CHECK-SAME: _XlaSharding = "" // CHECK-SAME: partition_dims = [] // CHECK: [[RI:%.*]] = "tf.TPUReplicatedInput"([[PI_0]], [[PI_1]])
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 20 17:43:51 UTC 2023 - 8.3K bytes - Viewed (0) -
platforms/software/dependency-management/src/test/groovy/org/gradle/api/internal/artifacts/repositories/DefaultIvyArtifactRepositoryTest.groovy
} def "repositories have the same id when m2 compatible and other configuration is the same"() { def repo = newRepo() def same = newRepo() def different = newRepo() given: repo.url = new URI("http://localhost") repo.patternLayout { it.m2compatible = true } same.url = new URI("http://localhost") same.patternLayout { it.m2compatible = true }
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Tue Oct 10 21:10:11 UTC 2023 - 24K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_to_nhwc.mlir
strides = [1, 1, 2, 2] } : (tensor<?x3x230x230xf32>, tensor<7x7x3x64xf32>) -> tensor<?x64x112x112xf32> // CHECK: %[[CONV0:[0-9]*]] = "tf.Conv2D" // CHECK-SAME: %[[PAD]] // CHECK-SAME: data_format = "NHWC" // CHECK-SAME: strides = [1, 2, 2, 1] %6, %batch_mean, %batch_variance, %reserved_1, %reserved_2, %reserved_3 = "tf.FusedBatchNormV3"(%5, %arg1, %arg1, %arg1, %arg1) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 7.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model_mark_initialized_variables.mlir
func.return %4 : tensor<100x50xf32> } // CHECK: "tf.VarHandleOp" // CHECK-SAME: shared_name = "var1" // CHECK-SAME: _is_initialized = true // CHECK: "tf.VarHandleOp" // CHECK-SAME: shared_name = "var2" // CHECK-SAME: _is_initialized = true // CHECK: "tf.VarHandleOp" // CHECK-SAME: shared_name = "var3" // CHECK-SAME: _is_initialized = false // INVALID-NOT: _is_initialized
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 2.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/force_shared_name_for_resource_ops.pbtxt
} # CHECK: tf.HashTableV2 # CHECK-SAME: shared_name = "hash_table_node" # CHECK: "tf.Variable" # CHECK-SAME: shared_name = "variable_node" # CHECK: "tf.VariableV2" # CHECK-SAME: shared_name = "variable_v2_node" # CHECK: "tf.BatchFunction" # CHECK-SAME: shared_name = "batch_node" # CHECK: func private @create_resource # CHECK: tf.HashTableV2 # CHECK-SAME: shared_name = "hash_table_node@create_resource"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Aug 31 02:37:48 UTC 2021 - 5.5K bytes - Viewed (0) -
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)