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Results 41 - 43 of 43 for 2x4xf32 (0.09 sec)
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tensorflow/compiler/mlir/quantization/stablehlo/tests/bridge/convert-tf-quant-types.mlir
// CHECK: return %[[output]] : tensor<6x3xi8> %0 = "tf.ConcatV2"(%arg0, %arg1, %axis) : (tensor<3x3xf32>, tensor<3x3xf32>, tensor<i64>) -> tensor<6x3xf32> %1 = "tf.UniformQuantize"(%0, %scales, %zps) { quantization_axis = -1 : i64, quantization_min_val = -128 : i64, quantization_max_val = 127 : i64 } : (tensor<6x3xf32>, tensor<f32>, tensor<i32>) -> tensor<6x3x!tf_type.qint8> func.return %1 : tensor<6x3x!tf_type.qint8> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 25.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/einsum.mlir
} func.func @einsum_matmul(%arg0: tensor<7x9xf32>, %arg1: tensor<9x5xf32>) -> tensor<7x5xf32> { %0 = "tf.Einsum"(%arg0, %arg1) {T = "tfdtype$DT_FLOAT", equation = "ae,ed->ad"}: (tensor<7x9xf32>, tensor<9x5xf32>) -> tensor<7x5xf32> func.return %0 : tensor<7x5xf32> // CHECK-LABEL: einsum_matmul // CHECK: %[[v0:.*]] = "tf.BatchMatMulV2"(%arg0, %arg1) <{adj_x = false, adj_y = false}> : (tensor<7x9xf32>, tensor<9x5xf32>) -> tensor<7x5xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 25.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/composite-lowering.mlir
%2 = mhlo.constant dense<6.400000e+01> : tensor<64xf32> %3 = mhlo.constant dense<3.200000e+01> : tensor<64xf32> %4 = mhlo.constant dense<5.000000e-01> : tensor<64xf32> %5 = "mhlo.iota"() <{iota_dimension = 0 : i64}> : () -> tensor<64xf32> %6 = mhlo.add %5, %4 : tensor<64xf32> %7 = mhlo.multiply %6, %3 : tensor<64xf32> %8 = mhlo.divide %7, %2 : tensor<64xf32> %9 = mhlo.floor %8 : tensor<64xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 18:45:51 UTC 2024 - 32.6K bytes - Viewed (0)