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Results 31 - 40 of 43 for 40x10xf32 (0.24 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/tests/insert_custom_aggregation_ops.mlir
} : (tensor<?x100352xf32>, tensor<100352x10xf32>) -> tensor<?x10xf32> %3 = "tf.Identity"(%2) {device = ""} : (tensor<?x10xf32>) -> tensor<?x10xf32> return %3 : tensor<?x10xf32> } // CHECK-LABEL: func.func private @composite_dot_general_fn_1 func.func private @composite_dot_general_fn_1(%arg0: tensor<?x100352xf32>, %arg1: tensor<100352x10xf32>) -> tensor<?x10xf32> { // CHECK-NOT: tf.CustomAggregator
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 32.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/group_by_dialect.mlir
// CHECK-NOT: call // ----- func.func @handles_mhlo_regions() { "glue.someop"() : () -> () %4 = mhlo.constant dense<0.0> : tensor<200x10xf32> %13 = mhlo.constant dense<-0.0> : tensor<f32> %29 = mhlo.reduce(%4 init: %13) applies mhlo.add across dimensions = [1] : (tensor<200x10xf32>, tensor<f32>) -> tensor<200xf32> return } // CHECK: func @handles_mhlo_regions // CHECK: call [[name:@[^(]*]](
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Sep 28 23:43:21 UTC 2022 - 5.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/prepare_quantize_ptq.mlir
// ----- module { func.func @same_scale_ptq_test(%arg0: tensor<*xf32>) -> tensor<*xf32> { %cst = arith.constant dense<[-1, 144]> : tensor<2xi32> %cst_1 = arith.constant dense<1.0> : tensor<144x10xf32> %cst_2 = arith.constant dense<0.1> : tensor<10xf32> %0 = "quantfork.stats"(%arg0) { layerStats = dense<[-1.28, 1.28]> : tensor<2xf32> } : (tensor<*xf32>) -> tensor<*xf32> %1 = "tf.MaxPool"(%0) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 01 10:21:29 UTC 2023 - 9.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/cast_bf16_ops_to_f32.mlir
// CHECK: return %[[identity]] : tensor<1x3x2x2xf32> func.func @cast_bf16_matmul_to_fp32(%arg0: tensor<1x10xf32>) -> (tensor<1x2xf32>) { %cst = "tf.Const"() {device = "", value = dense<1.000000e+01> : tensor<10x2xbf16>} : () -> tensor<10x2xbf16> %0 = "tf.Cast"(%arg0) {Truncate = false, device = ""} : (tensor<1x10xf32>) -> tensor<1x10xbf16>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 8.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
// expected-error @+1 {{'tfl.prelu' op result type '10x10' not broadcast compatible with broadcasted operands's shapes '10x10x10x10'}} %0 = "tfl.prelu"(%arg0, %arg1) : (tensor<10x10x10x10xf32>, tensor<10x10x10x10xf32>) -> tensor<10x10xf32> func.return %0 : tensor<10x10xf32> } // -----
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: return %[[DIV]] : tensor<4x10xf32> %0 = "tf.Softsign"(%arg0) : (tensor<4x10xf32>) -> tensor<4x10xf32> func.return %0 : tensor<4x10xf32> } // ----- // CHECK-LABEL: func @softsign_grad func.func @softsign_grad(%arg0: tensor<4x10xf32>, %arg1: tensor<4x10xf32>) -> tensor<4x10xf32> { // CHECK-NEXT: %[[ONE:.*]] = mhlo.constant dense<1.000000e+00> : tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/order_by_dialect.mlir
%11 = "mhlo.dot"(%10, %5) : (tensor<32x3920xf32>, tensor<3920x10xf32>) -> tensor<32x10xf32> %12 = "mhlo.broadcast_in_dim"(%2) <{broadcast_dimensions = dense<1> : tensor<1xi64>}> : (tensor<10xf32>) -> tensor<32x10xf32> %13 = mhlo.add %11, %12 : tensor<32x10xf32> %14 = mhlo.maximum %13, %0 : tensor<32x10xf32> return %14 : tensor<32x10xf32> } // CHECK: ReadVariableOp // CHECK: mhlo.convolution // CHECK: mhlo.add
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 7.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-with-tf2xla-hlo-importer.mlir
func.return %1 : tensor<2xf32> } // CHECK-LABEL: binary_op_broadcast func.func @binary_op_broadcast(%arg0: tensor<4x1xf32>, %arg1: tensor<4x1x4xf32>) -> tensor<4x4x4xf32> { // CHECK: %[[BROADCAST0:.*]] = "mhlo.broadcast_in_dim"(%arg0) <{broadcast_dimensions = dense<[1, 2]> : tensor<2xi64>}> : (tensor<4x1xf32>) -> tensor<4x4x1xf32> // CHECK: %[[RESHAPE0:.*]] = mhlo.reshape %[[BROADCAST0]] : (tensor<4x4x1xf32>) -> tensor<4x4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 38.6K bytes - Viewed (1) -
tensorflow/compiler/mlir/tensorflow/tests/tensor_list_ops_decomposition.mlir
%max_size = "tf.Const"() {value = dense<10> : tensor<i32>} : () -> tensor<i32> // CHECK-NOT: tf.EmptyTensorList // CHECK: tf.BroadcastTo // CHECK-SAME: tensor<10x16xf32> %tl0 = "tf.EmptyTensorList"(%element_shape, %max_size) : (tensor<1xi32>, tensor<i32>) -> tensor<!tf_type.variant<tensor<16xf32>>> // CHECK-NOT: tf.TensorListReserve // CHECK: tf.BroadcastTo
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 38.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/shape_inference.cc
} } return new_arg_type; } // Combination of value producer and port of value produced (e.g., // <value result output>:<value in output tensor>, // so for tf.Const -> tensor<10x20xf32>, [0,2,18] would point to a unique output // scalar value). struct ValuePort { PointerUnion<Operation*, BlockArgument> producer; SmallVector<unsigned int, 2> port;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Jun 08 07:28:49 UTC 2024 - 134.1K bytes - Viewed (0)