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Results 1 - 10 of 28 for 32x10xf32 (0.29 sec)
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tensorflow/compiler/mlir/tensorflow/tests/order_by_dialect.mlir
%11 = "mhlo.dot"(%10, %5) : (tensor<32x3920xf32>, tensor<3920x10xf32>) -> tensor<32x10xf32> %12 = "mhlo.broadcast_in_dim"(%2) <{broadcast_dimensions = dense<1> : tensor<1xi64>}> : (tensor<10xf32>) -> tensor<32x10xf32> %13 = mhlo.add %11, %12 : tensor<32x10xf32> %14 = mhlo.maximum %13, %0 : tensor<32x10xf32> return %14 : tensor<32x10xf32> } // CHECK: ReadVariableOp // CHECK: mhlo.convolution // CHECK: mhlo.add
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 7.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/lower-static-tensor-list-enable-dynamic-update-slice.mlir
// ----- // CHECK-LABEL: tensorlistSetItem func.func @tensorlistSetItem(%arg0: tensor<3x10xf32>, %arg1: tensor<1xi32>, %arg2: tensor<i32>, %arg3: tensor<10xf32>) -> tensor<3x10xf32> { %0 = "tf.TensorListFromTensor"(%arg0, %arg1) : (tensor<3x10xf32>, tensor<1xi32>) -> tensor<!tf_type.variant<tensor<10xf32>>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 28 14:24:59 UTC 2022 - 2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/unwrap_xla_call_module_op.mlir
func.func private @main_0(%arg0: tensor<10x1x3xf32>) -> tensor<3x10xf32> attributes {_from_xla_call_module} { %0 = stablehlo.reshape %arg0 : (tensor<10x1x3xf32>) -> tensor<3x10xf32> return %0 : tensor<3x10xf32> } // CHECK: %[[RESHAPE:.*]] = stablehlo.reshape // CHECK-NEXT: return %[[RESHAPE]] // CHECK: @main_1 func.func private @main_1(%arg0: tensor<3x10xf32>) -> tensor<6x5xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 08 22:40:14 UTC 2024 - 3.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/get-arithmetic-count.mlir
func.func @testSoftmax(%arg0: tensor<10x10xf32>) -> tensor<10x10xf32> { // CHECK: _arithmetic_count = 6400 : i64 %0 = "tfl.softmax"(%arg0) {beta = 1.000000e+00 : f32} : (tensor<10x10xf32>) -> tensor<10x10xf32> func.return %0 : tensor<10x10xf32> } func.func @testTanh(%arg0: tensor<10x10xf32>) -> tensor<10x10xf32> { // CHECK: _arithmetic_count = 6400 : i64 %0 = "tfl.tanh"(%arg0) : (tensor<10x10xf32>) -> tensor<10x10xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 14 04:58:17 UTC 2022 - 7.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/mlir_passthrough_op.pbtxt
# CHECK:"tf.MlirPassthroughOp" # CHECK: mlir_module = "\0Afunc @main(%arg0 : tensor<10xf32>, %arg1 : tensor<10xf32>) -> tensor<10x10xf32> {\0A %add = \22tf.Add\22(%arg0, %arg1) : (tensor<10xf32>, tensor<10xf32>) -> tensor<10xf32>\0A %ret = \22magic.op\22(%add, %add) : (tensor<10xf32>, tensor<10xf32>) -> tensor<10x10xf32>\0A return %ret : tensor<10x10xf32>\0A}\0A"}> {device = ""} : (tensor<10xf32>, tensor<10xf32>) -> tensor<*xf32> node { name: "x" op: "Placeholder"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 1.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/get-op-cost.mlir
// ----- func.func @pack_CPU(%arg0: tensor<100xf32>, %arg1: tensor<100xf32>) -> tensor<2x100xf32> attributes {tac.device = "CPU", tac.interface_name = "func_2"} { // CHECK: tac.cost = 1.000000e+02 %0 = "tfl.pack"(%arg0, %arg1) {axis = 0 : i32, tac.device = "CPU", values_count = 2 : i32} : (tensor<100xf32>, tensor<100xf32>) -> tensor<2x100xf32> func.return %0 : tensor<2x100xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 24 05:29:10 UTC 2022 - 5.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/compile_mlir_util/result-sharding.mlir
func.func @main(%arg0: tensor<128x10xf32>, %arg1: tensor<10x1024xf32>, %arg2: tensor<128x1024xf32>) -> (tensor<128x10xf32> {mhlo.sharding = "\08\03\1A\02\01\02\22\02\00\01"}, tensor<10x1024xf32> {mhlo.sharding = "\08\01\1A\01\01\22\01\00"}, tensor<128x1024xf32> {mhlo.sharding = ""}) { func.return %arg0, %arg1, %arg2 : tensor<128x10xf32>, tensor<10x1024xf32>, tensor<128x1024xf32> } }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 23 18:56:13 UTC 2022 - 1.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf-variables.mlir
// CHECK: %[[ADD:.*]] = tfl.add %[[VAR_VAL]], %arg0 {fused_activation_function = "NONE"} : tensor<1x10xf32> // CHECK: "tfl.assign_variable"(%[[RESOURCE]], %[[ADD]]) : (tensor<!tf_type.resource<tensor<1x10xf32>>>, tensor<1x10xf32>) -> () // CHECK: %[[RESULT:.*]] = "tfl.read_variable"(%[[RESOURCE]]) : (tensor<!tf_type.resource<tensor<1x10xf32>>>) -> tensor<1x10xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 7.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/materialize_passthrough_op.mlir
func.return %0 : tensor<10x10xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 30 10:34:48 UTC 2022 - 1.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/unfold-large-splat-constant.mlir
func.func @unfold_large_constant_splat() -> (tensor<10x10xf32>, tensor<1000x1000xf32>) { %0 = arith.constant dense<0.00000e+00> : tensor<10x10xf32> %1 = arith.constant dense<1.00000e+00> : tensor<1000x1000xf32> func.return %0, %1 : tensor<10x10xf32>, tensor<1000x1000xf32> // CHECK-DAG: %cst = arith.constant dense<0.000000e+00> : tensor<10x10xf32> // CHECK-DAG: %cst_0 = arith.constant dense<1000> : tensor<2xi64>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 26 23:53:32 UTC 2022 - 781 bytes - Viewed (0)