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Results 31 - 40 of 43 for 1xf32 (0.09 sec)
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tensorflow/compiler/mlir/lite/tests/canonicalize.mlir
func.func @squeeze_folder(%arg0 : tensor<?x?xf32>) -> tensor<?x?xf32> { %0 = "tfl.squeeze"(%arg0) : (tensor<?x?xf32>) -> tensor<?x?xf32> // CHECK: return %arg0 func.return %0 : tensor<?x?xf32> } // ----- // CHECK-LABEL: @squeeze_folder func.func @squeeze_folder(%arg0 : tensor<?x?xf32>) -> tensor<*xf32> { %0 = "tfl.squeeze"(%arg0) : (tensor<?x?xf32>) -> tensor<*xf32> // CHECK: "tfl.squeeze"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/constants_offset.mlir
func.return %0 : tensor<4xf16> } func.func @f32() -> tensor<4xf32> { // CHECK-LABEL: @f32 // CHECK: value = dense<[1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00]> : tensor<4xf32> %0 = "tfl.pseudo_const"() { value = dense<[1.0, 2.0, 3.0, 4.0]> : tensor<4xf32> } : () -> tensor<4xf32> func.return %0 : tensor<4xf32> } func.func @f64() -> tensor<4xf64> { // CHECK-LABEL: @f64
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 12.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/tf2xla_rewriter_test.cc
func.func @main(%arg0: tensor<2xf32>) -> tensor<2xf32> { %0 = "tf.Const"() {value = dense<1.42> : tensor<2xf32>} : () -> tensor<2xf32> %1 = "tf.Atan2"(%arg0, %0) : (tensor<2xf32>, tensor<2xf32>) -> tensor<2xf32> func.return %0 : tensor<2xf32> } })"; TF_ASSERT_OK(LegalizeModule(kModuleWithConstParam)); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:16:07 UTC 2024 - 11.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/attrs_and_constraints_test.cc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 22.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/decompose-hybrid-quantization.mlir
%1 = "tfl.pseudo_const"() { value = dense<1.0> : tensor<16xf32>} : () -> tensor<16xf32> %2 = "tfl.conv_3d"(%arg0, %0, %1) {dilation_h_factor = 1 : i32, dilation_w_factor = 1 : i32, dilation_d_factor = 1 : i32, fused_activation_function = "NONE", padding = "SAME", stride_h = 1 : i32, stride_w = 1 : i32, stride_d = 1 : i32} : (tensor<1x32x32x32x8xf32>, tensor<1x1x1x8x16x!quant.uniform<i8:f32, 1.0>>, tensor<16xf32>) -> tensor<1x32x32x32x16xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 13.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/pipelines/process_nchw_tensor.mlir
%0 = stablehlo.constant dense<2.000000e+00> : tensor<4x2x3x3xf32> // weight %1 = stablehlo.constant dense<3.000000e+00> : tensor<4xf32> // bias %2 = stablehlo.constant dense<0.000000e+00> : tensor<1x4x5x5xf32> // relu %3 = stablehlo.broadcast_in_dim %1, dims = [1] : (tensor<4xf32>) -> tensor<1x4x5x5xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 18 20:32:46 UTC 2024 - 12.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/defer_activation_transpose.mlir
func.func @add_with_activation_transpose_broadcasted_rhs(%arg0: tensor<1x3x3x4xf32>) -> tensor<1x4x3x3xf32> { %0 = stablehlo.constant dense<2.000000e+00> : tensor<4xf32> %1 = stablehlo.broadcast_in_dim %0, dims = [1] : (tensor<4xf32>) -> tensor<1x4x3x3xf32> %2 = stablehlo.transpose %arg0, dims = [0, 3, 1, 2] : (tensor<1x3x3x4xf32>) -> tensor<1x4x3x3xf32> %3 = stablehlo.add %2, %1 : tensor<1x4x3x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 18 20:32:46 UTC 2024 - 14.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/post-quantize-dynamic-range.mlir
// CHECK-LABEL: QuantizeCustomOp // CustomOp-LABEL: QuantizeCustomOp func.func @QuantizeCustomOp(%arg0: tensor<1x1x1x1xf32>) -> (tensor<*xf32>, tensor<*xf32>, tensor<*xf32>) attributes {tf.entry_function = {inputs = "input", outputs = "custom_op"}} { %0 = "quantfork.stats"(%arg0) {layerStats = dense<[0.000000e+00, 2.550000e+02]> : tensor<2xf32>} : (tensor<1x1x1x1xf32>) -> tensor<1x1x1x1xf32> %w_1 = arith.constant dense<127.0> : tensor<4096x1x1x1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 11.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mark_ops_for_outside_compilation.mlir
func.func @tf2xla_fallback_op_approx_top_k(%arg0: tensor<16xf32>) -> (tensor<?xf32>, tensor<?xi32>) { %0:2 = "tf_device.cluster"() ({ // CHECK: tf.ApproxTopK // CHECK-NOT: _xla_outside_compilation %1:2 = "tf.ApproxTopK"(%arg0) {k = 2} : (tensor<16xf32>) -> (tensor<?xf32>, tensor<?xi32>) tf_device.return %1#0, %1#1 : tensor<?xf32>, tensor<?xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 16:22:32 UTC 2024 - 29.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/insert_weight_param.mlir
func.func @no_qdq_for_non_weight_constant(%arg0: tensor<1x2xf32>, %arg1: tensor<2x3xf32>) -> tensor<1x3xf32> attributes {tf._original_func_name = "main_0"} { %cst = "tf.Const"() {value = dense<4.000000e-02> : tensor<3xf32>} : () -> tensor<3xf32> %0 = "tf.XlaCallModule"(%arg0, %arg1, %cst) { Sout = [#tf_type.shape<1x3>], _entry_function = @composite_dot_general_with_bias_fn, _original_entry_function = "composite_dot_general_with_bias_fn",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 05:56:10 UTC 2024 - 22K bytes - Viewed (0)