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Results 11 - 20 of 40 for 2x2xi8 (0.11 sec)
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tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
// CHECK: return %[[VAL_2]] : tensor<1x4xi8> // CHECK: } func.func @bitwise_or_broadcast_chlo(%arg0: tensor<1xi8>, %arg1: tensor<1x4xi8>) -> tensor<1x4xi8> { %0 = "chlo.broadcast_or"(%arg0, %arg1) {broadcast_dimensions = array<i64: 1>} : (tensor<1xi8>, tensor<1x4xi8>) -> tensor<1x4xi8> func.return %0 : tensor<1x4xi8> } // CHECK-LABEL: func @bitwise_or_dynamic(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize.mlir
// CHECK-LABEL: DequantizeAndQuantize func.func @DequantizeAndQuantize() -> tensor<2x2x!quant.uniform<u8:f32, 7.8431372549019615E-4:128>> { %cst = "tfl.pseudo_qconst"() {qtype = tensor<2x2x!quant.uniform<u8:f32, 7.8431372549019615E-4:128>>, value = dense<-1> : tensor<2x2xi8>} : () -> tensor<2x2x!quant.uniform<u8:f32, 7.8431372549019615E-4:128>> %0 = "tfl.dequantize"(%cst) : (tensor<2x2x!quant.uniform<u8:f32, 7.8431372549019615E-4:128>>) -> tensor<2x2xf32>
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/tf2xla/tests/legalize-tf-binary-elementwise.mlir
// CHECK: %[[BROADCAST:.*]] = "mhlo.broadcast_in_dim"(%arg0) <{broadcast_dimensions = dense<1> : tensor<1xi64>}> : (tensor<4xui8>) -> tensor<2x4xui8> // CHECK: mhlo.shift_right_logical %[[BROADCAST]], %arg1 : tensor<2x4xui8> %0 = "tf.RightShift"(%arg0, %arg1) : (tensor<4xui8>, tensor<2x4xui8>) -> tensor<2x4xui8> func.return %0 : tensor<2x4xui8> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 18.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize.mlir
} // CHECK-LABEL: EliminateRedundantLogicalOr func.func @EliminateRedundantLogicalOr(%arg0: tensor<1xi1>, %arg1: tensor<2x3xi1>) -> (tensor<1xi1>, tensor<2x3xi1>, tensor<2x3xi1>, tensor<2x3xi1>, tensor<2x3xi1>, tensor<2x3xi1>, tensor<1xi1>, tensor<2x3xi1>, tensor<2x3xi1>, tensor<2x3xi1>, tensor<2x3xi1>, tensor<2x3xi1>, tensor<2x3xi1>, tensor<2x3xi1>) { %cst_false0 = arith.constant dense<false> : tensor<1xi1>
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/tensorflow/tests/tf-ops.mlir
func.func @testBroadcastGradientArgsInvalidS0Rank() -> (tensor<2x2xi32>, tensor<0xi32>) { %s0 = "tf.Const"() {value = dense<[[4, 1], [2, 3]]> : tensor<2x2xi32>} : () -> tensor<2x2xi32> %s1 = "tf.Const"() {value = dense<[2, 4]> : tensor<2xi32>} : () -> tensor<2xi32> // expected-error @+1 {{failed to verify that operand 0 is 1-D}} %r0, %r1 = "tf.BroadcastGradientArgs"(%s0, %s1) : (tensor<2x2xi32>, tensor<2xi32>) -> (tensor<1xi32>, tensor<0xi32>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 23 14:40:35 UTC 2023 - 236.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/lower_tf.mlir
func.func @DynamicStitch_uint8(%arg0: tensor<2x2xui8>) -> tensor<2x2xui8> { // CHECK-NOT: tf.DynamicStitch %indices = "tf.Const"() {value = dense<[1, 0]> : tensor<2xi32>} : () -> tensor<2xi32> %0 = "tf.DynamicStitch"(%indices, %arg0) : (tensor<2xi32>, tensor<2x2xui8>) -> tensor<2x2xui8> func.return %0 : tensor<2x2xui8> } // CHECK-LABEL: func @DynamicStitch_scalar_item
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/tf2xla/tests/legalize-tf-with-tf2xla-hlo-importer.mlir
func.func @xla_spmd_full_to_shard_shape(%arg0: tensor<2x2xi64>) -> (tensor<1x2xi64>) { // CHECK: %[[SHARDING:.*]] = mhlo.custom_call @Sharding(%arg0) {backend_config = "", mhlo.sharding = "{devices=[2,1]0,1}"} : (tensor<2x2xi64>) -> tensor<2x2xi64> // CHECK: %[[MANUAL:.*]] = mhlo.custom_call @SPMDFullToShardShape(%[[SHARDING]]) {backend_config = "", mhlo.sharding = "{manual}"} : (tensor<2x2xi64>) -> tensor<1x2xi64> // CHECK: return %[[MANUAL]]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 38.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composite_functions_weight_only.mlir
// PerTensor-SAME: f = @quantized_matmul_fn_0}> : (tensor<2x12xf32>, tensor<12x2xi8>, tensor<f32>, tensor<i32>) -> tensor<*xf32> // PerTensor: return %[[out]] // PerChannel-LABEL: func @matmul // PerChannel-DAG: %[[q_w:.*]] = "tf.Const"() <{value = dense<0> : tensor<12x2xi8>}> : () -> tensor<12x2xi8> // PerChannel-DAG: %[[scale:.*]] = "tf.Const"() <{value = dense<3.93700805E-9> : tensor<f32>}> : () -> tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 11.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/tfrt_fallback/batching_fallback.mlir
%ch0 = tfrt.new.chain %a1 = tfrt_fallback_async.const_dense_tensor dense<[[2, 2], [2, 2]]> : tensor<2x2xi32> %a2 = tfrt_fallback_async.const_dense_tensor dense<[[3, 3], [3, 3]]> : tensor<2x2xi32> %b = tfrt_fallback_async.const_dense_tensor dense<[[1, 1], [1, 1]]> : tensor<2x2xi32> // Two batch_size=2 batches get concatenated.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jul 18 22:58:56 UTC 2023 - 8.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
// ----- func.func @transpose(%arg0 : tensor<2x2xi32>, %arg1 : tensor<2xi32>) -> tensor<2x2xi32> { %0 = "tfl.transpose"(%arg0, %arg1) : (tensor<2x2xi32>, tensor<2xi32>) -> tensor<2x2xi32> func.return %0 : tensor<2x2xi32> } // ----- // CHECK-LABEL: transpose_with_output_that_has_dynamic_sizes func.func @transpose_with_output_that_has_dynamic_sizes(%arg0 : tensor<2x2xi32>, %arg1 : tensor<2xi32>) -> tensor<?x?xi32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0)