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Results 1 - 4 of 4 for 1x30x1xi32 (0.13 sec)
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tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/vhlo.mlir
//CHECK-NEXT: return %0 : tensor<1x30x1xi32> //CHECK-NEXT:} func.func @power(%arg0: tensor<1x30x1xi32>, %arg1: tensor<1x30x1xi32>) -> tensor<1x30x1xi32> { %0 = "vhlo.power_v1" (%arg0, %arg1) : (tensor<1x30x1xi32>, tensor<1x30x1xi32>) -> tensor<1x30x1xi32> func.return %0 : tensor<1x30x1xi32> } //CHECK:func.func private @power(%arg0: tensor<1x30x1xi32>, %arg1: tensor<1x30x1xi32>) -> tensor<1x30x1xi32> {
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/lite/stablehlo/tests/tfl_legalize_hlo.mlir
// CHECK: %3 = mhlo.reshape %2 : (tensor<32xi32>) -> tensor<1x32x1xi32> // CHECK: %cst = arith.constant dense<1> : tensor<1xi32> // CHECK: %4 = "tfl.reduce_max"(%arg0, %cst) <{keep_dims = false}> : (tensor<1x32x1xf32>, tensor<1xi32>) -> tensor<1x1xf32> // CHECK: %5 = "tfl.arg_max"(%arg0, %cst) : (tensor<1x32x1xf32>, tensor<1xi32>) -> tensor<1x1xi32> // CHECK: return %4, %5 : tensor<1x1xf32>, tensor<1x1xi32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 40.1K 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/tensorflow/passes/convert_tf_xla_op_to_tf_op.cc
// Examples: // * If `xla_gather_op_output_type` == tensor<*xf32>, then it returns: // tensor<*xf32>. // * If `xla_gather_op_output_type` == tensor<3x5xi32> and `collapsed_dims` == // {0}, then it returns: tensor<1x3x5xi32>. // * If `xla_gather_op_output_type` == tensor<3x5xf32> and `collapsed_dims` == // {1, 3}, then it returns: tensor<3x1x5x1xf32>. Type GetSliceOpOutputType(Type xla_gather_op_output_type,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 13.2K bytes - Viewed (0)