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Results 1 - 10 of 16 for 1x8x8xi32 (0.2 sec)
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tensorflow/compiler/mlir/lite/tests/prepare-composite-functions-tf.mlir
// CHECK: [[VAL_40:%.*]] = arith.constant dense<0> : tensor<1xi32> // CHECK: [[VAL_41:%.*]] = "tf.ReverseV2"([[VAL_0]], [[VAL_40]]) : (tensor<8x8x8xf32>, tensor<1xi32>) -> tensor<8x8x8xf32> // CHECK: [[VAL_6:%.*]] = arith.constant dense<[1, 0]> : tensor<2xi32> // CHECK: [[VAL_7:%.*]] = "tf.Transpose"([[VAL_3]], [[VAL_6]]) : (tensor<8x40xf32>, tensor<2xi32>) -> tensor<40x8xf32>
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/tensorflow/tests/shape_inference.mlir
func.func @infer_device_launch(%arg0: tensor<1x8x2xi32>) -> (tensor<*xf32>, tensor<*xf32>) { %0 = "tf.Const"() {value = dense<-1> : tensor<i32>} : () -> tensor<i32> %1 = "tf_device.launch"() ({ %2 = "tf.Cast"(%arg0) {Truncate = false} : (tensor<1x8x2xi32>) -> tensor<1x8x2xf32> tf_device.return %2 : tensor<1x8x2xf32> // CHECK: () -> tensor<1x8x2xf32> }) {device = "/device:CPU:0"} : () -> tensor<*xf32>
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/stablehlo/tests/compose-uniform-quantized-type.mlir
%11 = stablehlo.convert %2 : (tensor<1x1x1xi8>) -> tensor<1x1x1xi32> %12 = stablehlo.broadcast_in_dim %11, dims = [0, 1, 2] : (tensor<1x1x1xi32>) -> tensor<8x16x16xi32> %13 = stablehlo.subtract %10, %12 : tensor<8x16x16xi32> // q1 - z1 %14 = stablehlo.convert %9 : (tensor<8x16x4xi8>) -> tensor<8x16x4xi32> %15 = stablehlo.convert %4 : (tensor<1x1x1xi8>) -> tensor<1x1x1xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 37K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/bridge/optimize.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Feb 24 02:26:47 UTC 2024 - 10.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
// CHECK: %[[RESULT:.*]] = "tf.FloorMod"(%arg0, %arg1) : (tensor<192x8xi32>, tensor<192x8xi32>) -> tensor<192x8xi32> // CHECK: return %[[RESULT]] // CHECK: } func.func @convert_floor_mod_int(%arg0: tensor<192x8xi32>, %arg1: tensor<192x8xi32>) -> tensor<192x8xi32> { %0 = mhlo.constant dense<0> : tensor<192x8xi32> %1 = mhlo.remainder %arg0, %arg1 : tensor<192x8xi32>
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/tensorflow/tests/tpu_sharding_identification.mlir
// Use a four dimension sharding (devices=[1,1,1,1]0) // Since the input tensor only has three dimensions, we expect this to fail. %0 = "tf.XlaSharding"(%arg0) { _XlaSharding = "\08\03\1A\04\01\01\01\01\22\01\00" } : (tensor<1x2x3xi32>) -> tensor<1x2x3xi32> %1 = "tf.A"(%0) : (tensor<1x2x3xi32>) -> (tensor<1x2x3xi32>) func.return %1: tensor<1x2x3xi32> } // ----- // CHECK-LABEL: func @check_retval_sharding_errors
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Feb 20 19:07:52 UTC 2024 - 47.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/const-fold.mlir
func.func @concatConstantTensorsMiddleDim() -> tensor<1x4x3xi32> { %cst_0 = arith.constant dense<0> : tensor<1x2x3xi32> %cst_1 = arith.constant dense<1> : tensor<1x2x3xi32> %0 = "tfl.concatenation"(%cst_0, %cst_1) {axis = 1 : i32, fused_activation_function = "NONE"} : (tensor<1x2x3xi32>, tensor<1x2x3xi32>) -> tensor<1x4x3xi32> func.return %0 : tensor<1x4x3xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 45.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/shape-inference.mlir
func.func @testReshapeShapeInference(%arg0: tensor<3x4xi32>) -> tensor<*xi32> { %cst = arith.constant dense<[1, 6, 2]> : tensor<3xi32> // CHECK: "tfl.reshape"(%arg0, %cst) : (tensor<3x4xi32>, tensor<3xi32>) -> tensor<1x6x2xi32> %0 = "tfl.reshape"(%arg0, %cst) : (tensor<3x4xi32>, tensor<3xi32>) -> tensor<*xi32> func.return %0 : tensor<*xi32> } } // ----- // CHECK-LABEL: testReshapeShapeInferenceUnknownDim
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 11.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/vhlo.mlir
// CHECK:} func.func @reshape(%arg0 : tensor<1x128xi32>) -> tensor<4x32x1xi32>{ %0 = "vhlo.reshape_v1"(%arg0) : (tensor<1x128xi32>) -> tensor<4x32x1xi32> func.return %0 : tensor<4x32x1xi32> } //CHECK:func.func private @reshape(%arg0: tensor<1x128xi32>) -> tensor<4x32x1xi32> { //CHECK-NEXT: %0 = "vhlo.reshape_v1"(%arg0) : (tensor<1x128xi32>) -> tensor<4x32x1xi32> //CHECK-NEXT: return %0 : tensor<4x32x1xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 14 19:15:40 UTC 2024 - 31.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
} // ----- // CHECK-LABEL: func @select_batch_static_r1 func.func @select_batch_static_r1(%arg0: tensor<i1>, %arg1: tensor<2x6x8xi32>, %arg2: tensor<2x6x8xi32>) -> tensor<2x6x8xi32> { // CHECK: mhlo.select %arg0, %arg1, %arg2 %0 = "tf.Select"(%arg0, %arg1, %arg2) : (tensor<i1>, tensor<2x6x8xi32>, tensor<2x6x8xi32>) -> tensor<2x6x8xi32> func.return %0: tensor<2x6x8xi32> } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0)