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Results 11 - 20 of 20 for 10x16x2xf32 (0.25 sec)
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tensorflow/compiler/mlir/tensorflow/tests/constant-fold.mlir
%21 = "tf.Const"() {device = "", name = "Const_143", dtype = "tfdtype$DT_FLOAT", value = dense<0.24288677062973696> : tensor<1x1x6x2xf32>} : () -> tensor<1x1x6x2xf32> // CHECK-DAG: value = #tf_type<tensor_proto // CHECK-DAG: tf.Const{{.*}} dense<0.242886767> : tensor<1x1x6x2xf32> func.return %0, %21 : tensor<4xf32>, tensor<1x1x6x2xf32> } // CHECK-LABEL: func @testAdd() -> tensor<2x2xi32> func.func @testAdd() -> tensor<2x2xi32> { ^bb0:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jan 31 23:22:24 UTC 2024 - 36.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize.cc
// %cst = arith.constant dense<1.0> : tensor<16x16x4xf32> // %0 = "tfl.conv_2d"... // %1 = "tfl.add"(%0, %cst) : (tensor<16x16x4xf32>, tensor<16x16x4xf32>) // After this optimization: // %cst = arith.constant dense<1.0> : tensor<f32> // %0 = "tfl.conv_2d"... // %1 = "tfl.add"(%0, %cst) : (tensor<16x16x4xf32>, tensor<f32>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 00:40:15 UTC 2024 - 102.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/canonicalize.mlir
// CHECK-LABEL: func @tfAssertTrue func.func @tfAssertTrue(%arg0: tensor<1x1x6x2xf32>) { %t = arith.constant dense<true> : tensor<i1> // CHECK-NOT: tf.Assert "tf.Assert"(%t, %arg0) {summarize = 3} : (tensor<i1>, tensor<1x1x6x2xf32>) -> () func.return } // CHECK-LABEL: func @tfAssertFalse func.func @tfAssertFalse(%arg0: tensor<1x1x6x2xf32>) { %f = arith.constant dense<false> : tensor<i1> // CHECK: tf.Assert
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 132.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-composite-functions-tf.mlir
%4 = "tf.Reshape"(%3, %1) {device = ""} : (tensor<2x4x4x2xf32>, tensor<3xi32>) -> tensor<2x16x2xf32> %5 = "tf.PartitionedCall"(%arg0, %4) {_collective_manager_ids = [], _read_only_resource_inputs = [], config = "", config_proto = "\0A\07\0A\03CPU\10\01\0A\07\0A\03GPU\10\002\02J\008\01\82\01\00", executor_type = "", f = @__inference_interpolate_bilinear} : (tensor<2x4x4x1xf32>, tensor<2x16x2xf32>) -> tensor<2x16x1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 122.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
} func.func @scatterNdVectorIndices(%arg0: tensor<5x1xi32>, %arg1: tensor<5x3x2xf32>) -> tensor<10x3x2xf32> { %cst = "tf.Const"() { value = dense<[10, 3, 2]> : tensor<3xi32> } : () -> tensor<3xi32> %1 = "tf.ScatterNd"(%arg0, %arg1, %cst) : (tensor<5x1xi32>, tensor<5x3x2xf32>, tensor<3xi32>) -> tensor<10x3x2xf32> func.return %1 : tensor<10x3x2xf32> // CHECK-LABEL:scatterNdVectorIndices
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 05 01:54:33 UTC 2024 - 153.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tensor_list_ops_decomposition.mlir
%max_size = "tf.Const"() {value = dense<10> : tensor<i32>} : () -> tensor<i32> // CHECK-NOT: tf.EmptyTensorList // CHECK: tf.BroadcastTo // CHECK-SAME: tensor<10x16xf32> %tl0 = "tf.EmptyTensorList"(%element_shape, %max_size) : (tensor<1xi32>, tensor<i32>) -> tensor<!tf_type.variant<tensor<16xf32>>> // CHECK-NOT: tf.TensorListReserve // CHECK: tf.BroadcastTo
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 38.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir
%elem_shape = "tf.Const"() {value = dense<[-1, 1]> : tensor<2xi32>} : () -> tensor<2xi32> %tensors = "tf._SomeOp"() : () -> tensor<10x16x1xf32> // CHECK: TensorListFromTensor // CHECK-SAME: tensor<!tf_type.variant<tensor<16x1xf32>>> %tl = "tf.TensorListFromTensor"(%tensors, %elem_shape) : (tensor<10x16x1xf32>, tensor<2xi32>) -> tensor<!tf_type.variant<tensor<?x1xf32>>> func.return }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 17:24:10 UTC 2024 - 167.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize.mlir
// CHECK-LABEL: squeezeToReshape func.func @squeezeToReshape(%arg0: tensor<1x1x2xf32>) -> tensor<2xf32> { %0 = "tfl.squeeze"(%arg0) : (tensor<1x1x2xf32>) -> tensor<2xf32> func.return %0 : tensor<2xf32> // CHECK-DAG: [[CONST:.*]] = arith.constant dense<2> : tensor<1xi32> // CHECK: %[[RESULT:.*]] = "tfl.reshape"(%arg0, %[[CONST:.*]]) : (tensor<1x1x2xf32>, tensor<1xi32>) -> tensor<2xf32> // CHECK: return %[[RESULT]] }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 284.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/lower_tf.mlir
// CHECK-DAG: [[VAL4:%.+]] = "tf.Const"() <{value = dense<[2, 0, 1, 3]> : tensor<4xi64>}> // CHECK-DAG: [[VAL5:%.+]] = "tf.PadV2"(%arg0, [[VAL2]], [[VAL3]]) // CHECK-SAME: tensor<1x15x2xf32> // CHECK-DAG: [[VAL6:%.+]] = "tf.Reshape"([[VAL5]], [[VAL1]]) // CHECK-DAG: [[VAL7:%.+]] = "tf.Transpose"([[VAL6]], [[VAL4]]) // CHECK-DAG: [[VAL8:%.+]] = "tf.Reshape"([[VAL7]], [[VAL0]])
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 92K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir
} // ----- // tf.Reshape with a tensor operand that has 0 for one of its elements. func.func @testReshape(%arg0: tensor<10x10x0xf32>) -> tensor<?x0xf32> { %shape1 = arith.constant dense<[-1, 0]> : tensor<2xi32> %r1 = "tf.Reshape" (%arg0, %shape1) : (tensor<10x10x0xf32>, tensor<2xi32>) -> tensor<?x0xf32> func.return %r1 : tensor<?x0xf32> } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 23 14:40:35 UTC 2023 - 236.4K bytes - Viewed (0)