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Results 1 - 4 of 4 for 3x2xi16 (0.09 sec)
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tensorflow/compiler/mlir/tensorflow/tests/lower_tf.mlir
func.return %0 : tensor<3x4xi1> } // CHECK-LABEL: @is_nan func.func @is_nan(%arg0: tensor<3x4xf32>) -> tensor<3x4xi1> { // CHECK: %[[RESULT:.*]] = "tf.NotEqual"(%arg0, %arg0) <{incompatible_shape_error = true}> : (tensor<3x4xf32>, tensor<3x4xf32>) -> tensor<3x4xi1> %0 = "tf.IsNan"(%arg0) : (tensor<3x4xf32>) -> tensor<3x4xi1> // CHECK: return %[[RESULT]] func.return %0 : tensor<3x4xi1> }
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/prepare-tf.mlir
func.func @broadcast_to_i16_low_dim(%input: tensor<3xi16>, %shape: tensor<2xi32>) -> tensor<3x3xi16> { %0 = "tf.BroadcastTo"(%input, %shape) : (tensor<3xi16>, tensor<2xi32>) -> tensor<3x3xi16> func.return %0: tensor<3x3xi16> // CHECK-LABEL: broadcast_to_i16_low_dim // CHECK: %0 = "tf.BroadcastTo"(%arg0, %arg1) : (tensor<3xi16>, tensor<2xi32>) -> tensor<3x3xi16> // CHECK: return %0 : tensor<3x3xi16> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 59.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize.mlir
// CHECK-LABEL: QuantizePad func.func @QuantizePad(tensor<2x1x3x!quant.uniform<u8:f32, 0.1>>, tensor<3x2xi32>) -> tensor<?xf32> { ^bb0(%arg0: tensor<2x1x3x!quant.uniform<u8:f32, 0.1>>, %arg1: tensor<3x2xi32>): %0 = "tfl.dequantize"(%arg0) : (tensor<2x1x3x!quant.uniform<u8:f32, 0.1>>) -> tensor<2x1x3xf32> %1 = "tfl.pad"(%0, %arg1) : (tensor<2x1x3xf32>, tensor<3x2xi32>) -> tensor<?xf32> func.return %1 : tensor<?xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 67.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/replace_cast_hacks_with_tf_xla_ops.mlir
// CHECK: %[[PAD:.*]] = "tf.PadV2"({{.*}}, %[[CONST]], %[[CONST_1]]) // CHECK: %[[CONV:.*]] = "tf.XlaConvV2"(%[[PAD]], %[[WEIGHT]] // CHECK-SAME: (tensor<1x4x5x5x3xi8>, tensor<2x3x3x3x2xi8>, tensor<3xi32>, tensor<3x2xi32>, tensor<3xi32>, tensor<3xi32>, tensor<i32>) -> tensor<1x3x2x3x2xi32> // CHECK: %[[SUB:.*]] = "tf.Sub"(%[[CONV]], %[[CONST_2]]) } // ----- module attributes {tf_saved_model.semantics} {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 81K bytes - Viewed (0)