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Results 1 - 9 of 9 for 1x1x1x3xi1 (0.15 sec)
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tensorflow/compiler/mlir/lite/tests/optimize.mlir
%3 = "tfl.reduce_any"(%arg, %axis_0) { keep_dims = true } : (tensor<1x2x1x3xi1>, tensor<1xi32>) -> tensor<1x2x1x3xi1> %4 = "tfl.reduce_any"(%arg, %axis_1) { keep_dims = false } : (tensor<1x2x1x3xi1>, tensor<1xi32>) -> tensor<1x1x1x3xi1> %5 = "tfl.reduce_all"(%arg, %axis_1) { keep_dims = true } : (tensor<1x2x1x3xi1>, tensor<1xi32>) -> tensor<1x1x3xi1>
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/lite/stablehlo/tests/compose-uniform-quantized-type.mlir
%2 = stablehlo.constant dense<-128> : tensor<1x1x1x1xi8> // Input zero point. %3 = stablehlo.constant dense<1> : tensor<3x3x4x4xi8> // Quantized filter tensor. %4 = stablehlo.constant dense<3.000000e+03> : tensor<1x1x1x4xf32> %5 = stablehlo.constant dense<4.000000e+03> : tensor<1x1x1x1xf32> // Output inverse scale. %6 = stablehlo.constant dense<127> : tensor<1x1x1x1xi8> // Output zero point.
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/lite/tests/quantize-numeric-verify.mlir
%3 = "tfl.quantize"(%2) {qtype = tensor<1x1x1x3x!quant.uniform<i8:f32, 0.1>>, volatile} : (tensor<1x1x1x3xf32>) -> tensor<1x1x1x3x!quant.uniform<i8:f32, 0.1>> %4 = "tfl.dequantize"(%3) : (tensor<1x1x1x3x!quant.uniform<i8:f32, 0.1>>) -> tensor<1x1x1x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 15.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/attrs_and_constraints_test.cc
} TEST_F(AttrsAndConstraintsTest, HasRankOfReturnsTrueForMatchingRank) { constexpr absl::string_view kConstantOpWithRankFour = R"mlir(%0 = stablehlo.constant dense<0> : tensor<1x1x1x1xi8>)mlir"; OwningOpRef<ModuleOp> module_op = ParseModuleOpString(kConstantOpWithRankFour); ASSERT_TRUE(module_op); ASSERT_FALSE(module_op->getBodyRegion().empty());
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/quantization/tensorflow/tests/replace_cast_hacks_with_tf_xla_ops.mlir
// CHECK-DAG: %[[CONST_6:.*]] = "tf.Const"() <{value = dense<3> : tensor<i32>}> : () -> tensor<i32> // CHECK-DAG: %[[CONST_7:.*]] = "tf.Const"() <{value = dense<{{.*}}> : tensor<1x1x1x3xi32>}> : () -> tensor<1x1x1x3xi32> // CHECK-DAG-SAME{LITERAL}: value = dense<[[[[55040, -15104, -21376]]]]> // CHECK-DAG: %[[CONST_8:.*]] = "tf.Const"() <{value = dense<[129, 166, 221]> : tensor<3xi32>}> : () -> tensor<3xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 81K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/uniform-quantized-stablehlo-to-tfl.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 106.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/lower_tf.mlir
// CHECK-DAG: %[[ONE:.*]] = "tf.Const"() <{value = dense<1.000000e+00> : tensor<f32>}> : () -> tensor<f32> // CHECK: %[[PRED:.*]] = "tf.Greater"(%[[FEATURES]], %[[ZERO]]) : (tensor<1x4x4x3xf32>, tensor<f32>) -> tensor<1x4x4x3xi1> // CHECK-NEXT: %[[SCALED_FEATURES:.*]] = "tf.Mul"(%[[FEATURES]], %[[SCALE]]) : (tensor<1x4x4x3xf32>, tensor<f32>) -> tensor<1x4x4x3xf32>
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/lite/tests/ops.mlir
// ----- // CHECK-LABEL: testSelectV2With4DBroadcasting func.func @testSelectV2With4DBroadcasting(%cond : tensor<1x1x3x1xi1>, %arg0 : tensor<1x1x1x4xf32>, %arg1 : tensor<1x2x1x1xf32>) -> tensor<1x2x3x4xf32> { // CHECK: "tfl.select_v2"(%arg0, %arg1, %arg2) %0 = "tfl.select_v2"(%cond, %arg0, %arg1): (tensor<1x1x3x1xi1>, tensor<1x1x1x4xf32>, tensor<1x2x1x1xf32>) -> tensor<1x2x3x4xf32> func.return %0 : tensor<1x2x3x4xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
// CHECK-NEXT: %[[CMP:.*]] = mhlo.compare GT, %[[INP]], %[[ZERO]], NOTYPE : (tensor<1x4x4x3xf32>, tensor<1x4x4x3xf32>) -> tensor<1x4x4x3xi1> // CHECK-NEXT: %[[RES:.*]] = mhlo.select %[[CMP]], %[[INP]], %[[LEAKY]] : tensor<1x4x4x3xi1>, tensor<1x4x4x3xf32> // CHECK-NEXT: return %[[RES]] : tensor<1x4x4x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0)