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Results 11 - 20 of 23 for 1024xi32 (0.11 sec)
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tensorflow/compiler/mlir/lite/tests/post-quantize.mlir
// CHECK-NEXT: %[[argmax:.*]] = "tfl.arg_max"(%[[softmax]], %[[cst]]) : (tensor<128x16xf32>, tensor<i32>) -> tensor<128xi32> %3 = "tfl.arg_max"(%2, %cst) : (tensor<128x16xf32>, tensor<i32>) -> tensor<128xi32> // CHECK-NEXT: return %[[softmax]], %[[argmax]] : tensor<128x16xf32>, tensor<128xi32> func.return %2, %3 : tensor<128x16xf32>, tensor<128xi32> } // CHECK-LABEL: PruneUnusedLstm
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 19.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/fold-constants-to-subgraph.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 10.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-composite-functions-tf.mlir
// CHECK: } } // ----- module {
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/tf2xla/internal/passes/clustering_passes.td
}) : () -> tensor<f32> "tf_device.cluster"() ({ %group = "tf.Const"() <{value = dense<[[0, 1]]> : tensor<1x2xi32>}> : () -> tensor<1x2xi32> %arg1_reduced = "tf.XlaAllReduce"(%arg1_id, %group) <{mode = "CrossReplica", reduce_op = "Add"}> : (tensor<f32>, tensor<1x2xi32>) -> tensor<f32> "tf.OpA"(%arg1_reduced) : (tensor<f32>) -> () tf_device.return }) : () -> ()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 02:01:13 UTC 2024 - 19.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/compose-uniform-quantized-type.mlir
func.func private @uniform_quantize_0(%arg0: tensor<1x2xf32>, %arg1: tensor<1x1xf32>, %arg2: tensor<1x1xi8>) -> tensor<1x2xi32> { %0 = stablehlo.convert %arg0 : (tensor<1x2xf32>) -> tensor<1x2xi32> return %0 : tensor<1x2xi32> } // CHECK: @uniform_quantize_0 func.func private @uniform_quantize_1(%arg0: tensor<1x3xf32>, %arg1: tensor<1x1xf32>, %arg2: tensor<1x1xi8>) -> tensor<1x3xi8> {
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/components/post_calibration_component.mlir
// CHECK-NO-UNPACK-SAME: (%[[ARG_0:.+]]: tensor<1x1024xf32>) -> tensor<1x3xf32> // CHECK-NO-UNPACK-DAG: %[[CONST:.+]] = stablehlo.constant() <{value = dense<{{.*}}> : tensor<1024x3xi8>}> : () -> tensor<1024x3x!quant.uniform<i8<-127:127>:f32:1, {{.*}}>> // CHECK-NO-UNPACK: %[[QUANTIZE_0:.+]] = stablehlo.uniform_quantize %[[ARG_0]] : (tensor<1x1024xf32>) -> tensor<1x1024x!quant.uniform<i8:f32, {{.*}}>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 01:09:50 UTC 2024 - 6.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/attrs_and_constraints_test.cc
} } )mlir"; constexpr absl::string_view kModuleDynamic = R"mlir( module { func.func @main(%arg0: tensor<?x1024xf32>, %arg1: tensor<1024x3xf32>) -> tensor<?x3xf32> attributes {_from_xla_call_module} { %0 = stablehlo.dot_general %arg0, %arg1, contracting_dims = [1] x [0], precision = [] : (tensor<?x1024xf32>, tensor<1024x3xf32>) -> tensor<?x3xf32> return %0 : tensor<?x3xf32> } } )mlir";
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 22.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
func.func @multinomial_i32(%arg0: tensor<2xf32>, %arg1: tensor<1xi32>) -> tensor<10xi32> { %0 = "tf.Multinomial"(%arg0, %arg1) {seed = 0 : i64, seed2 = 0: i64} : (tensor<2xf32>, tensor<1xi32>) -> tensor<10xi32> func.return %0 : tensor<10xi32> // CHECK-LABEL:multinomial_i32 // CHECK: "tfl.multinomial"(%arg0, %arg1) <{seed = 0 : i64, seed2 = 0 : i64}> : (tensor<2xf32>, tensor<1xi32>) -> tensor<10xi32> }
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/lite/experimental/tac/tests/get-alternative-subgraph.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/canonicalize.mlir
func.func @reshape_vector_shape(tensor<4x4x4xf32>) -> tensor<16x4xf32> { ^bb0(%arg0: tensor<4x4x4xf32>) : %shape0 = arith.constant dense<[[16, 4]]> : tensor<1x2xi32> // expected-error @+1 {{'tfl.reshape' op requires 'shape' to be rank 1, but got 2}} %1 = "tfl.reshape"(%arg0, %shape0) : (tensor<4x4x4xf32>, tensor<1x2xi32>) -> tensor<16x4xf32> func.return %1 : tensor<16x4xf32> } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.6K bytes - Viewed (0)